fit.hydroState fits a single hydroState model (build) or multiple models (build.all) using global optimization by differential evolution DEoptim library. If fitting all models be sure to install and load the parallelly library. The fitting of all models may take hours or days, but the calibration can occur in parallel if the parallelly library is installed and loaded.
Usage
fit.hydroState(
model,
pop.size.perParameter = 10,
max.generations = 500,
doParallel = FALSE,
...
)Arguments
- model
built hydroState model object, hydroState.allModels object, or hydroState.subAnnual.allModels object
- pop.size.perParameter
integer that should be greater than or equal to the number of parameters in the model. The default is '10' and is sufficient for all models.
- max.generations
integer that will stop the optimizer when set number of generations are reached. The default is '500'.
- doParallel
TRUE/FALSE to perform fitting in parallel on all computer cores. Default is FALSE
- ...
additional options to change the optimization settings: reltol, print.iterations, etc. from the DEoptim library
Details
fit.hydroState
After a hydroState model object is built, the model is ready to fit to the observed streamflow through minimizing the negative log-likelihood function too calibrate model parameters. The only required input is the given built hydroState model object or hydroState.allModels object (all models from build.all = TRUE). When fitting all models, the models are fitted from least to most complex (least to max amount of parameters). Each model has a minimum of 5 and maximum of 20 calibration attempts to outperform the prior reference model else the model is rejected. For instance 'model.1State.normal.log.AR0' contains 3-parameters and is the reference model for 'model.1State.normal.log.AR1' which contains 4-parameters. The objective function of 'model.1State.normal.log.AR1' must calibrate the model with a lower negative log-likelihood than 'model.1State.normal.log.AR0'. These reference models are pre-defined, but this function allows the user to edit the reference models in the data.frame if needed using summary. Details on the likelihood function is as follows:
The likelihood function is estimated as:
\(L_{T} = \delta P(x_{1}) + \Gamma \delta P(x_{2})...\Gamma \delta P(x_{T})1'\)
where:
\(\delta\) is the initial state distribution, the initial probability of being in each state: \(\delta = \begin{pmatrix} \delta_{1} \\ 1- \delta_{1} \end{pmatrix}\)
\(P(x)\) is the \(m\) x \(m\) diagonal emissions matrix of the probability density for each state using a lower tail truncated Gaussian distribution or a two-parameter Gamma distribution:
\(f_{Gau}(x=\hat{_{obs}q_{t}}; \mu = \hat{_{t}q_{i}}, \sigma = \sigma_{i}, a = 0) = \frac{\phi(\frac{x-\mu}{\sigma})}{\sigma(1-\Phi(\frac{a-\mu}{\sigma}))}\)
\(f_{Gam}(x = \hat{_{obs}q_{t}}; k = \frac{\hat{_{t}q_{i}}^2}{\sigma_{i}^2}, \theta = \frac{\sigma_{i}^2}{\hat{_{t}q_{i}}}) = \frac{x^{k-1}e^{\frac{x}{\theta}}}{\theta^{k}\Gamma(k)}\)
where \(\phi\) is the probability density function for the standard normal distribution, \(\Phi\) is the cumulative distribution function for the standard normal distribution, \(k\) is the shape parameter, \(\theta\) is the scale parameter, and \(\Gamma(k)\) is the gamma function. For more details, refer to pg. 8–17 in Supplementary Materials of (Peterson TJ, Saft M, Peel MC & John A (2021), Watersheds may not recover from drought, Science, DOI: doi:10.1126/science.abd5085 ).
\(\Gamma\) is the transition matrix
\(T\) is the number of time-steps.
Examples
# Load data
data(streamflow_annual_221201)
## Build default annual hydroState model
model = build(input.data = streamflow_annual_221201)
## Fit built model (runtime ~ 14 sec)
# \donttest{
model = fit.hydroState(model)
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 90
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 500
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 68.016911 bestmemit: -2.091150 0.421263 0.006877 -2.374873 0.345473 0.523372 0.867878 0.897826 0.274396
#> Iteration: 50 bestvalit: 40.103361 bestmemit: -5.287856 0.009530 0.015316 -2.450252 0.602765 0.134765 0.785120 0.922695 0.564746
#> Iteration: 75 bestvalit: 36.916732 bestmemit: -6.521068 0.009239 0.016000 -2.449154 0.424344 0.122824 0.896422 0.962121 0.003108
#> Iteration: 100 bestvalit: 36.908454 bestmemit: -6.314478 0.009366 0.016118 -2.450740 0.418779 0.120236 0.896406 0.961234 0.000022
#> Iteration: 125 bestvalit: 36.908325 bestmemit: -6.335298 0.009364 0.016118 -2.450714 0.417855 0.120567 0.896243 0.961239 0.000002
#> Iteration: 150 bestvalit: 36.908218 bestmemit: -7.174459 0.009365 0.016121 -2.450764 0.418065 0.120507 0.896154 0.961128 0.000020
#> Iteration: 175 bestvalit: 36.908193 bestmemit: -7.590422 0.009365 0.016120 -2.450742 0.417787 0.120567 0.896199 0.961166 0.000008
#> Iteration: 200 bestvalit: 36.908176 bestmemit: -8.252301 0.009365 0.016122 -2.450768 0.417759 0.120536 0.896092 0.961129 0.000000
#> Iteration: 225 bestvalit: 36.908176 bestmemit: -8.272617 0.009365 0.016122 -2.450765 0.417791 0.120533 0.896103 0.961131 0.000000
#> ... Finished Calibration.
#> Best solution: 36.9081759056722
# }
## Fit all built models (runtime > several hours)
# Load data
data(streamflow_annual_221201)
## Build all annual models
all.annual.models = build.all(input.data = streamflow_annual_221201, siteID = '221201')
# Fit all (runtime > several hours)
# \donttest{
all.annual.models = fit.hydroState(all.annual.models)
#> Calibrating 36 Models.
#> ... Minimum number of calibration per model: 5
#> ... Maximum number of calibration per model: 20
#> ************************************
#> Calibrating Model: model.1State.truc.normal.boxcox.AR0.a0std
#> Reference model name for maximum acceptable calib. solution:
#> Reference model maximum acceptable calib. solution: -Inf
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 56.570594 bestmemit: -4.990667 0.022873 -2.574878 0.525592
#> Iteration: 50 bestvalit: 50.283579 bestmemit: -6.190788 0.013742 -2.445687 0.325742
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.374701 0.013747 -2.445487 0.326942
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.341988 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111479
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111479
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 53.203660 bestmemit: -5.319160 0.018274 -2.516263 0.272354
#> Iteration: 50 bestvalit: 50.283184 bestmemit: -7.105948 0.013722 -2.445209 0.328807
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -9.964603 0.013747 -2.445489 0.326979
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.414940 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111478
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111478
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.357117 bestmemit: -7.794643 0.013383 -2.439132 0.312662
#> Iteration: 50 bestvalit: 50.282591 bestmemit: -9.599926 0.013746 -2.445470 0.326875
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -9.203802 0.013747 -2.445488 0.326974
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -9.376047 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111477
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111477
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.590610 bestmemit: -6.720789 0.012252 -2.430914 0.308952
#> Iteration: 50 bestvalit: 50.282590 bestmemit: -8.069263 0.013749 -2.445526 0.327000
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -9.905192 0.013747 -2.445488 0.326974
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -9.962337 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111477
#>
#> ... Doing Calibration Trial 5 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111477
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 50.584312 bestmemit: -7.565660 0.013134 -2.443019 0.350535
#> Iteration: 50 bestvalit: 50.284785 bestmemit: -7.630601 0.013600 -2.443367 0.326152
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.608258 0.013746 -2.445477 0.326944
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.190069 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111479
#>
#> ... Doing Calibration Trial 6 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111477
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.287229 bestmemit: -7.181656 0.013680 -2.445324 0.324954
#> Iteration: 50 bestvalit: 50.282589 bestmemit: -9.382234 0.013747 -2.445488 0.326980
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -9.857854 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111477
#>
#> ... Doing Calibration Trial 7 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111477
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.301694 bestmemit: -5.481684 0.013604 -2.444481 0.318466
#> Iteration: 50 bestvalit: 50.282599 bestmemit: -7.594504 0.013746 -2.445490 0.326917
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.127023 0.013747 -2.445488 0.326974
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.124443 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111477
#>
#> ... Doing Calibration Trial 8 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111477
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.658539 bestmemit: -4.251096 0.012675 -2.426633 0.330222
#> Iteration: 50 bestvalit: 50.282635 bestmemit: -6.886274 0.013740 -2.445412 0.327102
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.001065 0.013747 -2.445488 0.326975
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.074309 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111477
#>
#> ... Doing Calibration Trial 9 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111477
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 51.232579 bestmemit: -3.927760 0.013164 -2.432971 0.403899
#> Iteration: 50 bestvalit: 50.282778 bestmemit: -6.994381 0.013712 -2.445009 0.327644
#> Iteration: 75 bestvalit: 50.282590 bestmemit: -8.542191 0.013744 -2.445453 0.327002
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.601668 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111478
#>
#> ... Doing Calibration Trial 10 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111477
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 50.732770 bestmemit: -6.413712 0.012216 -2.424112 0.371336
#> Iteration: 50 bestvalit: 50.282725 bestmemit: -7.804850 0.013758 -2.445586 0.326121
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.234693 0.013747 -2.445487 0.326981
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.379713 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111478
#>
#> ... Doing Calibration Trial 11 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111477
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.367057 bestmemit: -4.237620 0.013884 -2.444518 0.336064
#> Iteration: 50 bestvalit: 50.282593 bestmemit: -9.102696 0.013742 -2.445420 0.327082
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -9.852895 0.013747 -2.445488 0.326974
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -9.912115 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111477
#>
#> ... Doing Calibration Trial 12 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111477
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.292831 bestmemit: -5.957446 0.013485 -2.441759 0.331947
#> Iteration: 50 bestvalit: 50.282590 bestmemit: -8.494440 0.013748 -2.445512 0.326974
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.124921 0.013747 -2.445488 0.326974
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.191064 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111477
#>
#> ... Doing Calibration Trial 13 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111477
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.703954 bestmemit: -6.358781 0.012180 -2.424485 0.371095
#> Iteration: 50 bestvalit: 50.282591 bestmemit: -8.439209 0.013750 -2.445521 0.327034
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.293187 0.013747 -2.445488 0.326974
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.425316 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111477
#>
#> ... Doing Calibration Trial 14 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111477
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.446940 bestmemit: -5.408351 0.014306 -2.449569 0.351094
#> Iteration: 50 bestvalit: 50.282590 bestmemit: -8.824170 0.013748 -2.445505 0.327021
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -9.486980 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111477
#>
#> ... Doing Calibration Trial 15 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111477
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 52.321201 bestmemit: -5.211307 0.014064 -2.446297 0.469403
#> Iteration: 50 bestvalit: 50.282620 bestmemit: -8.607223 0.013724 -2.445204 0.326898
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.002069 0.013747 -2.445487 0.326973
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.000168 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111477
#>
#> ... Doing Calibration Trial 16 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111477
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.928951 bestmemit: -6.069801 0.013698 -2.448412 0.394321
#> Iteration: 50 bestvalit: 50.282656 bestmemit: -7.257745 0.013724 -2.445189 0.327308
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -9.198103 0.013747 -2.445488 0.326974
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -9.237828 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111477
#>
#> ... Doing Calibration Trial 17 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111477
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 51.020177 bestmemit: -3.802034 0.012575 -2.427135 0.390890
#> Iteration: 50 bestvalit: 50.282702 bestmemit: -6.485423 0.013749 -2.445510 0.327286
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -9.098180 0.013747 -2.445489 0.326973
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -9.311631 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111477
#>
#> ... Doing Calibration Trial 18 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111477
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.318327 bestmemit: -5.018273 0.013793 -2.445471 0.341155
#> Iteration: 50 bestvalit: 50.282592 bestmemit: -9.176830 0.013742 -2.445416 0.327011
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.134265 0.013747 -2.445488 0.326974
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.076053 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111477
#>
#> ... Doing Calibration Trial 19 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892111477
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.333021 bestmemit: -4.495438 0.013334 -2.441553 0.338513
#> Iteration: 50 bestvalit: 50.282595 bestmemit: -7.811152 0.013751 -2.445528 0.327000
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.210932 0.013747 -2.445488 0.326974
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.055337 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892111477
#> Warning: Best solution was > reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.1State.normal.boxcox.AR0.a0std
#> Reference model name for maximum acceptable calib. solution:
#> Reference model maximum acceptable calib. solution: -Inf
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.923915 bestmemit: -3.365762 0.014450 -2.446276 0.350822
#> Iteration: 50 bestvalit: 50.282613 bestmemit: -7.348395 0.013758 -2.445624 0.327126
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -9.026462 0.013747 -2.445488 0.326974
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -9.068631 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112566
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 55.958500 bestmemit: -3.535855 0.019134 -2.544138 0.433303
#> Iteration: 50 bestvalit: 50.288162 bestmemit: -5.954368 0.013975 -2.448775 0.325360
#> Iteration: 75 bestvalit: 50.282590 bestmemit: -8.195479 0.013745 -2.445461 0.326988
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -9.246062 0.013747 -2.445488 0.326974
#> Iteration: 125 bestvalit: 50.282589 bestmemit: -8.211747 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112566
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 53.043791 bestmemit: -6.346279 0.007120 -2.375457 0.334080
#> Iteration: 50 bestvalit: 50.282765 bestmemit: -7.191705 0.013791 -2.446056 0.326478
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.001826 0.013747 -2.445492 0.326971
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.060343 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112566
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 53.953657 bestmemit: -5.886780 0.009719 -2.398268 0.516871
#> Iteration: 50 bestvalit: 50.283843 bestmemit: -9.511563 0.013686 -2.444416 0.328111
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -9.309376 0.013747 -2.445490 0.326979
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.706919 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112566
#>
#> ... Doing Calibration Trial 5 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 53.019000 bestmemit: -9.728174 0.020182 -2.542174 0.364786
#> Iteration: 50 bestvalit: 50.285232 bestmemit: -5.470159 0.013890 -2.447038 0.326184
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.396436 0.013746 -2.445473 0.326995
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -9.462568 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112569
#>
#> ... Doing Calibration Trial 6 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 51.309274 bestmemit: -6.769331 0.014404 -2.465053 0.343673
#> Iteration: 50 bestvalit: 50.282598 bestmemit: -8.266145 0.013756 -2.445574 0.326942
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.555341 0.013747 -2.445486 0.326977
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.113446 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112566
#>
#> ... Doing Calibration Trial 7 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.457498 bestmemit: -8.298501 0.013571 -2.439687 0.309153
#> Iteration: 50 bestvalit: 50.282591 bestmemit: -8.059458 0.013752 -2.445553 0.326926
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.364153 0.013747 -2.445488 0.326974
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.499936 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112566
#>
#> ... Doing Calibration Trial 8 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 54.194399 bestmemit: -4.825580 0.009048 -2.377161 0.441345
#> Iteration: 50 bestvalit: 50.282944 bestmemit: -9.450247 0.013812 -2.446191 0.326476
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.828016 0.013747 -2.445483 0.326954
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -9.057372 0.013747 -2.445488 0.326974
#> Iteration: 125 bestvalit: 50.282589 bestmemit: -8.117385 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112566
#>
#> ... Doing Calibration Trial 9 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 51.580335 bestmemit: -8.329273 0.010701 -2.402063 0.300659
#> Iteration: 50 bestvalit: 50.282753 bestmemit: -7.133691 0.013739 -2.445420 0.327868
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.684937 0.013746 -2.445481 0.326979
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -9.094032 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112566
#>
#> ... Doing Calibration Trial 10 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.391855 bestmemit: -9.400769 0.013575 -2.446062 0.345509
#> Iteration: 50 bestvalit: 50.282599 bestmemit: -7.619992 0.013741 -2.445416 0.326919
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.083524 0.013747 -2.445488 0.326974
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.084753 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112566
#>
#> ... Doing Calibration Trial 11 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 51.826808 bestmemit: -4.903103 0.015008 -2.465291 0.441089
#> Iteration: 50 bestvalit: 50.283392 bestmemit: -6.043027 0.013837 -2.446583 0.326355
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.502254 0.013747 -2.445494 0.326956
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.712317 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112566
#>
#> ... Doing Calibration Trial 12 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.301463 bestmemit: -8.330708 0.013853 -2.448085 0.332540
#> Iteration: 50 bestvalit: 50.282591 bestmemit: -8.429845 0.013744 -2.445457 0.326906
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.086103 0.013747 -2.445488 0.326974
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.004062 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112566
#>
#> ... Doing Calibration Trial 13 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 52.611742 bestmemit: -6.395020 0.018472 -2.496622 0.307659
#> Iteration: 50 bestvalit: 50.283817 bestmemit: -7.644613 0.013713 -2.445252 0.329334
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.696466 0.013748 -2.445504 0.326960
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.921722 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112567
#>
#> ... Doing Calibration Trial 14 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 51.035211 bestmemit: -7.701826 0.016812 -2.480646 0.311606
#> Iteration: 50 bestvalit: 50.282599 bestmemit: -7.626365 0.013748 -2.445521 0.327029
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -9.051288 0.013747 -2.445488 0.326974
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -9.297919 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112566
#>
#> ... Doing Calibration Trial 15 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.304061 bestmemit: -7.204539 0.013438 -2.442104 0.317657
#> Iteration: 50 bestvalit: 50.282607 bestmemit: -7.275636 0.013742 -2.445423 0.326918
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.063473 0.013747 -2.445488 0.326973
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.035601 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112566
#>
#> ... Doing Calibration Trial 16 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 53.112579 bestmemit: -3.993773 0.019801 -2.527731 0.431403
#> Iteration: 50 bestvalit: 50.282763 bestmemit: -6.670251 0.013707 -2.445030 0.327198
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.595909 0.013747 -2.445485 0.326964
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.389597 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112566
#>
#> ... Doing Calibration Trial 17 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 52.583924 bestmemit: -5.475076 0.013623 -2.442109 0.482946
#> Iteration: 50 bestvalit: 50.283037 bestmemit: -7.409168 0.013714 -2.445235 0.327991
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -8.118960 0.013747 -2.445485 0.326971
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.033656 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112567
#>
#> ... Doing Calibration Trial 18 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 52.197098 bestmemit: -5.336693 0.011480 -2.408603 0.418977
#> Iteration: 50 bestvalit: 50.284525 bestmemit: -5.776197 0.013831 -2.446872 0.326880
#> Iteration: 75 bestvalit: 50.282589 bestmemit: -9.108448 0.013747 -2.445493 0.326972
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -9.840139 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112566
#>
#> ... Doing Calibration Trial 19 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 50.2825892112566
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 58.941590 bestmemit: -7.853466 0.006594 -2.379177 0.629549
#> Iteration: 50 bestvalit: 50.309108 bestmemit: -5.089744 0.013742 -2.446070 0.315890
#> Iteration: 75 bestvalit: 50.282591 bestmemit: -8.592834 0.013749 -2.445510 0.326887
#> Iteration: 100 bestvalit: 50.282589 bestmemit: -8.649287 0.013747 -2.445490 0.326975
#> Iteration: 125 bestvalit: 50.282589 bestmemit: -8.204991 0.013747 -2.445488 0.326974
#> ... Finished Calibration.
#> Best solution: 50.2825892112566
#> Warning: Best solution was > reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.1State.gamma.boxcox.AR0.a0std
#> Reference model name for maximum acceptable calib. solution:
#> Reference model maximum acceptable calib. solution: -Inf
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 53.033763 bestmemit: -8.435162 0.012449 -2.430928 0.336644
#> Iteration: 50 bestvalit: 52.939202 bestmemit: -8.054129 0.013253 -2.439362 0.356513
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -8.072704 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.939201689019
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 54.725607 bestmemit: -3.797992 0.012760 -2.439429 0.476009
#> Iteration: 50 bestvalit: 52.940143 bestmemit: -6.038144 0.013229 -2.438940 0.358595
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -8.032953 0.013251 -2.439338 0.356518
#> Iteration: 100 bestvalit: 52.939202 bestmemit: -8.582878 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.939201689019
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 53.424227 bestmemit: -4.653322 0.015809 -2.475876 0.362107
#> Iteration: 50 bestvalit: 52.942073 bestmemit: -6.470316 0.013090 -2.437086 0.354508
#> Iteration: 75 bestvalit: 52.939203 bestmemit: -8.563701 0.013255 -2.439391 0.356511
#> Iteration: 100 bestvalit: 52.939202 bestmemit: -9.241383 0.013251 -2.439338 0.356521
#> ... Finished Calibration.
#> Best solution: 52.9392016890191
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 53.594002 bestmemit: -5.153960 0.012944 -2.441676 0.408184
#> Iteration: 50 bestvalit: 52.939313 bestmemit: -8.579106 0.013244 -2.439299 0.357271
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -9.753309 0.013251 -2.439337 0.356526
#> Iteration: 100 bestvalit: 52.939202 bestmemit: -9.519719 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.9392016890191
#>
#> ... Doing Calibration Trial 5 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 53.071242 bestmemit: -6.700851 0.013269 -2.439248 0.327365
#> Iteration: 50 bestvalit: 52.939202 bestmemit: -9.093550 0.013251 -2.439328 0.356528
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -9.773430 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.939201689019
#>
#> ... Doing Calibration Trial 6 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 53.100013 bestmemit: -9.972427 0.012415 -2.427164 0.385505
#> Iteration: 50 bestvalit: 52.939202 bestmemit: -8.293477 0.013251 -2.439336 0.356535
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -8.978804 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.939201689019
#>
#> ... Doing Calibration Trial 7 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 57.766292 bestmemit: -6.583594 0.022156 -2.555473 0.507928
#> Iteration: 50 bestvalit: 52.942929 bestmemit: -9.243620 0.013203 -2.438724 0.361715
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -8.182419 0.013251 -2.439334 0.356583
#> Iteration: 100 bestvalit: 52.939202 bestmemit: -8.120830 0.013251 -2.439337 0.356520
#> Iteration: 125 bestvalit: 52.939202 bestmemit: -9.014857 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.9392016890191
#>
#> ... Doing Calibration Trial 8 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 53.006350 bestmemit: -7.438290 0.012697 -2.432039 0.376266
#> Iteration: 50 bestvalit: 52.939206 bestmemit: -9.566756 0.013253 -2.439338 0.356531
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -8.693234 0.013251 -2.439338 0.356521
#> Iteration: 100 bestvalit: 52.939202 bestmemit: -9.109266 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.939201689019
#>
#> ... Doing Calibration Trial 9 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 53.386647 bestmemit: -5.163367 0.014151 -2.447999 0.313596
#> Iteration: 50 bestvalit: 52.939217 bestmemit: -7.922568 0.013244 -2.439280 0.356452
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -8.281306 0.013251 -2.439338 0.356520
#> Iteration: 100 bestvalit: 52.939202 bestmemit: -8.107469 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.939201689019
#>
#> ... Doing Calibration Trial 10 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 68.385083 bestmemit: -2.890134 0.016079 -2.421023 0.740355
#> Iteration: 50 bestvalit: 52.941060 bestmemit: -6.619581 0.013276 -2.439671 0.360146
#> Iteration: 75 bestvalit: 52.939214 bestmemit: -8.506237 0.013264 -2.439481 0.356545
#> Iteration: 100 bestvalit: 52.939202 bestmemit: -8.115816 0.013251 -2.439339 0.356516
#> Iteration: 125 bestvalit: 52.939202 bestmemit: -8.079080 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.9392016890191
#>
#> ... Doing Calibration Trial 11 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 53.305416 bestmemit: -4.957053 0.015318 -2.461043 0.357418
#> Iteration: 50 bestvalit: 52.940022 bestmemit: -7.249908 0.013134 -2.437833 0.356505
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -8.538479 0.013250 -2.439326 0.356530
#> Iteration: 100 bestvalit: 52.939202 bestmemit: -8.652871 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.9392016890191
#>
#> ... Doing Calibration Trial 12 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 53.823207 bestmemit: -9.462280 0.014712 -2.460587 0.439679
#> Iteration: 50 bestvalit: 52.939551 bestmemit: -9.767816 0.013298 -2.439778 0.355823
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -9.339780 0.013249 -2.439321 0.356520
#> Iteration: 100 bestvalit: 52.939202 bestmemit: -9.251761 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.9392016890191
#>
#> ... Doing Calibration Trial 13 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 54.377528 bestmemit: -4.082196 0.015042 -2.448179 0.398604
#> Iteration: 50 bestvalit: 52.940339 bestmemit: -7.589221 0.013340 -2.440703 0.356920
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -8.081495 0.013250 -2.439319 0.356525
#> Iteration: 100 bestvalit: 52.939202 bestmemit: -8.326847 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.939201689019
#>
#> ... Doing Calibration Trial 14 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 54.098239 bestmemit: -5.343172 0.014411 -2.449455 0.290582
#> Iteration: 50 bestvalit: 52.942543 bestmemit: -9.711773 0.013382 -2.441441 0.357779
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -8.751269 0.013249 -2.439315 0.356546
#> Iteration: 100 bestvalit: 52.939202 bestmemit: -8.209616 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.939201689019
#>
#> ... Doing Calibration Trial 15 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 53.280692 bestmemit: -8.320609 0.013451 -2.444001 0.406151
#> Iteration: 50 bestvalit: 52.939202 bestmemit: -8.754694 0.013251 -2.439334 0.356558
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -8.726459 0.013251 -2.439338 0.356520
#> Iteration: 100 bestvalit: 52.939202 bestmemit: -9.114086 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.939201689019
#>
#> ... Doing Calibration Trial 16 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 53.653633 bestmemit: -6.789562 0.013698 -2.452853 0.395580
#> Iteration: 50 bestvalit: 52.940043 bestmemit: -6.636902 0.013263 -2.439175 0.357349
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -8.951522 0.013251 -2.439336 0.356523
#> Iteration: 100 bestvalit: 52.939202 bestmemit: -8.517271 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.9392016890191
#>
#> ... Doing Calibration Trial 17 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 54.046565 bestmemit: -7.090655 0.015069 -2.451844 0.425584
#> Iteration: 50 bestvalit: 52.939211 bestmemit: -8.079820 0.013256 -2.439376 0.356738
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -8.454559 0.013251 -2.439338 0.356520
#> Iteration: 100 bestvalit: 52.939202 bestmemit: -8.258674 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.939201689019
#>
#> ... Doing Calibration Trial 18 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 61.152878 bestmemit: -6.255130 0.023519 -2.560783 0.608738
#> Iteration: 50 bestvalit: 52.939232 bestmemit: -8.465008 0.013261 -2.439406 0.356711
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -8.241764 0.013251 -2.439338 0.356520
#> Iteration: 100 bestvalit: 52.939202 bestmemit: -8.345154 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.939201689019
#>
#> ... Doing Calibration Trial 19 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 52.939201689019
#> - total population size: 40
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 53.109262 bestmemit: -4.317011 0.012149 -2.427093 0.380362
#> Iteration: 50 bestvalit: 52.939207 bestmemit: -8.424783 0.013254 -2.439393 0.356444
#> Iteration: 75 bestvalit: 52.939202 bestmemit: -8.681789 0.013251 -2.439338 0.356521
#> Iteration: 100 bestvalit: 52.939202 bestmemit: -9.085358 0.013251 -2.439338 0.356520
#> ... Finished Calibration.
#> Best solution: 52.939201689019
#> Warning: Best solution was > reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.1State.truc.normal.boxcox.AR1.a0std
#> Reference model name for maximum acceptable calib. solution: model.1State.truc.normal.boxcox.AR0.a0std
#> Reference model maximum acceptable calib. solution: 50.2825892111477
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 50
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 46.806614 bestmemit: -4.253888 0.005924 -2.460119 0.196695 0.396236
#> Iteration: 50 bestvalit: 44.586613 bestmemit: -6.243559 0.003743 -2.440071 0.205064 0.276387
#> Iteration: 75 bestvalit: 44.585875 bestmemit: -8.275917 0.003659 -2.439703 0.206426 0.276568
#> Iteration: 100 bestvalit: 44.585874 bestmemit: -8.132072 0.003659 -2.439714 0.206439 0.276533
#> Iteration: 125 bestvalit: 44.585874 bestmemit: -8.117543 0.003659 -2.439714 0.206439 0.276533
#> ... Finished Calibration.
#> Best solution: 44.5858741260514
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 44.5858741260514
#> - total population size: 50
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 52.822962 bestmemit: -2.891194 0.007113 -2.421147 0.099189 0.563634
#> Iteration: 50 bestvalit: 44.628121 bestmemit: -3.958427 0.003898 -2.439745 0.200644 0.275432
#> Iteration: 75 bestvalit: 44.585978 bestmemit: -6.665411 0.003639 -2.439657 0.206727 0.276759
#> Iteration: 100 bestvalit: 44.585874 bestmemit: -8.331820 0.003659 -2.439709 0.206430 0.276544
#> Iteration: 125 bestvalit: 44.585874 bestmemit: -8.690859 0.003659 -2.439715 0.206440 0.276532
#> ... Finished Calibration.
#> Best solution: 44.5858741260526
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 44.5858741260514
#> - total population size: 50
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 52.657195 bestmemit: -9.354922 0.001806 -2.382002 0.106871 0.408361
#> Iteration: 50 bestvalit: 44.603446 bestmemit: -5.335696 0.003125 -2.438175 0.215421 0.275016
#> Iteration: 75 bestvalit: 44.585918 bestmemit: -9.865038 0.003663 -2.439660 0.206359 0.276601
#> Iteration: 100 bestvalit: 44.585874 bestmemit: -8.542171 0.003659 -2.439714 0.206458 0.276541
#> Iteration: 125 bestvalit: 44.585874 bestmemit: -8.181295 0.003659 -2.439715 0.206439 0.276533
#> ... Finished Calibration.
#> Best solution: 44.5858741260541
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 44.5858741260514
#> - total population size: 50
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 46.015694 bestmemit: -8.291183 0.009098 -2.452547 0.115175 0.290010
#> Iteration: 50 bestvalit: 44.586177 bestmemit: -6.719790 0.003673 -2.440226 0.207025 0.277145
#> Iteration: 75 bestvalit: 44.585874 bestmemit: -8.427028 0.003660 -2.439712 0.206429 0.276531
#> Iteration: 100 bestvalit: 44.585874 bestmemit: -8.192633 0.003659 -2.439714 0.206439 0.276533
#> ... Finished Calibration.
#> Best solution: 44.5858741260514
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.1State.normal.boxcox.AR1.a0std
#> Reference model name for maximum acceptable calib. solution: model.1State.normal.boxcox.AR0.a0std
#> Reference model maximum acceptable calib. solution: 50.2825892112566
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 50
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 48.545761 bestmemit: -5.244471 0.012142 -2.481171 0.077664 0.343236
#> Iteration: 50 bestvalit: 44.586066 bestmemit: -7.149864 0.003675 -2.440022 0.206573 0.277248
#> Iteration: 75 bestvalit: 44.585879 bestmemit: -7.794729 0.003657 -2.439706 0.206476 0.276576
#> Iteration: 100 bestvalit: 44.585874 bestmemit: -8.070489 0.003659 -2.439714 0.206439 0.276533
#> Iteration: 125 bestvalit: 44.585874 bestmemit: -8.073431 0.003659 -2.439714 0.206439 0.276533
#> ... Finished Calibration.
#> Best solution: 44.5858741260573
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 44.5858741260573
#> - total population size: 50
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 48.689790 bestmemit: -3.033308 0.001543 -2.449522 0.264195 0.446510
#> Iteration: 50 bestvalit: 44.586693 bestmemit: -7.940716 0.003761 -2.440857 0.206116 0.277317
#> Iteration: 75 bestvalit: 44.585874 bestmemit: -8.299951 0.003659 -2.439701 0.206429 0.276518
#> Iteration: 100 bestvalit: 44.585874 bestmemit: -8.442315 0.003659 -2.439714 0.206439 0.276533
#> ... Finished Calibration.
#> Best solution: 44.5858741260573
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 44.5858741260573
#> - total population size: 50
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 49.304067 bestmemit: -6.191745 -0.001249 -2.366342 0.158849 0.354771
#> Iteration: 50 bestvalit: 44.610335 bestmemit: -5.458446 0.003307 -2.440882 0.216141 0.270961
#> Iteration: 75 bestvalit: 44.585891 bestmemit: -7.931280 0.003665 -2.439736 0.206393 0.276446
#> Iteration: 100 bestvalit: 44.585874 bestmemit: -9.360216 0.003660 -2.439717 0.206433 0.276539
#> Iteration: 125 bestvalit: 44.585874 bestmemit: -8.513738 0.003659 -2.439714 0.206440 0.276533
#> ... Finished Calibration.
#> Best solution: 44.5858741260585
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 44.5858741260573
#> - total population size: 50
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.350476 bestmemit: -6.828078 0.002411 -2.441854 0.235245 0.524306
#> Iteration: 50 bestvalit: 44.586002 bestmemit: -7.798384 0.003677 -2.439936 0.206333 0.276086
#> Iteration: 75 bestvalit: 44.585874 bestmemit: -8.120742 0.003659 -2.439715 0.206442 0.276535
#> Iteration: 100 bestvalit: 44.585874 bestmemit: -8.001405 0.003659 -2.439714 0.206439 0.276533
#> ... Finished Calibration.
#> Best solution: 44.5858741260573
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.1State.gamma.boxcox.AR1.a0std
#> Reference model name for maximum acceptable calib. solution: model.1State.gamma.boxcox.AR0.a0std
#> Reference model maximum acceptable calib. solution: 52.939201689019
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 50
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 52.198987 bestmemit: -8.578657 0.001709 -2.382763 0.155548 0.505103
#> Iteration: 50 bestvalit: 46.888537 bestmemit: -7.936680 0.002228 -2.440454 0.238242 0.293060
#> Iteration: 75 bestvalit: 46.876912 bestmemit: -9.075623 0.002450 -2.438856 0.230724 0.297175
#> Iteration: 100 bestvalit: 46.876891 bestmemit: -8.962736 0.002432 -2.438671 0.230815 0.297141
#> Iteration: 125 bestvalit: 46.876891 bestmemit: -8.861100 0.002431 -2.438671 0.230827 0.297148
#> ... Finished Calibration.
#> Best solution: 46.8768909934205
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 46.8768909934205
#> - total population size: 50
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 61.636887 bestmemit: -8.199078 -0.005397 -2.466970 0.413915 0.578316
#> Iteration: 50 bestvalit: 46.882176 bestmemit: -5.136037 0.002519 -2.440594 0.232574 0.295923
#> Iteration: 75 bestvalit: 46.877089 bestmemit: -6.171485 0.002437 -2.438684 0.230748 0.297217
#> Iteration: 100 bestvalit: 46.876891 bestmemit: -8.785905 0.002431 -2.438671 0.230826 0.297146
#> Iteration: 125 bestvalit: 46.876891 bestmemit: -9.286283 0.002431 -2.438671 0.230827 0.297147
#> ... Finished Calibration.
#> Best solution: 46.8768909934192
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 46.8768909934192
#> - total population size: 50
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 50.068991 bestmemit: -6.759485 0.008934 -2.460231 0.142169 0.422796
#> Iteration: 50 bestvalit: 46.877089 bestmemit: -7.318409 0.002399 -2.438858 0.231717 0.297192
#> Iteration: 75 bestvalit: 46.876891 bestmemit: -9.060573 0.002432 -2.438671 0.230822 0.297150
#> Iteration: 100 bestvalit: 46.876891 bestmemit: -8.009996 0.002431 -2.438671 0.230827 0.297147
#> ... Finished Calibration.
#> Best solution: 46.8768909934192
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 46.8768909934192
#> - total population size: 50
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 49.188680 bestmemit: -3.250599 0.007285 -2.467811 0.175638 0.407199
#> Iteration: 50 bestvalit: 46.877787 bestmemit: -5.803060 0.002379 -2.438125 0.231175 0.296369
#> Iteration: 75 bestvalit: 46.876891 bestmemit: -9.408189 0.002430 -2.438668 0.230852 0.297146
#> Iteration: 100 bestvalit: 46.876891 bestmemit: -9.580952 0.002431 -2.438671 0.230827 0.297147
#> ... Finished Calibration.
#> Best solution: 46.8768909934191
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.1State.truc.normal.boxcox.AR2.a0std
#> Reference model name for maximum acceptable calib. solution: model.1State.truc.normal.boxcox.AR1.a0std
#> Reference model maximum acceptable calib. solution: 44.5858741260514
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 60
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 50.866221 bestmemit: -3.381398 0.009727 -2.523212 0.371502 -0.192621 0.448986
#> Iteration: 50 bestvalit: 43.503943 bestmemit: -6.006169 0.004302 -2.440544 0.274188 -0.079214 0.269429
#> Iteration: 75 bestvalit: 43.435690 bestmemit: -6.567721 0.005064 -2.449291 0.276318 -0.085508 0.267823
#> Iteration: 100 bestvalit: 43.435381 bestmemit: -8.230820 0.005033 -2.449080 0.277265 -0.086192 0.267306
#> Iteration: 125 bestvalit: 43.435380 bestmemit: -8.076429 0.005033 -2.449075 0.277286 -0.086223 0.267337
#> Iteration: 150 bestvalit: 43.435380 bestmemit: -8.131078 0.005033 -2.449076 0.277289 -0.086223 0.267332
#> ... Finished Calibration.
#> Best solution: 43.4353803531484
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 43.4353803531484
#> - total population size: 60
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 56.379116 bestmemit: -3.968892 0.021558 -2.620679 0.290940 -0.218372 0.546642
#> Iteration: 50 bestvalit: 43.718966 bestmemit: -8.393769 0.006507 -2.457166 0.288847 -0.111330 0.276472
#> Iteration: 75 bestvalit: 43.435597 bestmemit: -9.846444 0.005021 -2.449175 0.276868 -0.085484 0.267065
#> Iteration: 100 bestvalit: 43.435383 bestmemit: -8.103796 0.005036 -2.449137 0.277336 -0.086240 0.267286
#> Iteration: 125 bestvalit: 43.435380 bestmemit: -8.533021 0.005033 -2.449073 0.277284 -0.086220 0.267340
#> Iteration: 150 bestvalit: 43.435380 bestmemit: -9.900541 0.005033 -2.449076 0.277289 -0.086223 0.267332
#> ... Finished Calibration.
#> Best solution: 43.4353803531508
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 43.4353803531484
#> - total population size: 60
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 51.749572 bestmemit: -8.307819 0.012408 -2.455433 0.204364 -0.120559 0.404565
#> Iteration: 50 bestvalit: 43.466610 bestmemit: -8.017852 0.004597 -2.445748 0.268426 -0.072911 0.267975
#> Iteration: 75 bestvalit: 43.435422 bestmemit: -8.437376 0.005049 -2.449056 0.276723 -0.085980 0.267465
#> Iteration: 100 bestvalit: 43.435381 bestmemit: -8.596075 0.005033 -2.449059 0.277281 -0.086232 0.267321
#> Iteration: 125 bestvalit: 43.435380 bestmemit: -8.681245 0.005033 -2.449074 0.277288 -0.086223 0.267332
#> ... Finished Calibration.
#> Best solution: 43.435380353141
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 43.435380353141
#> - total population size: 60
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 66.586219 bestmemit: -5.959641 0.028287 -2.646791 0.073030 -0.184686 0.548284
#> Iteration: 50 bestvalit: 43.873769 bestmemit: -3.231378 0.004847 -2.445502 0.299981 -0.114719 0.264459
#> Iteration: 75 bestvalit: 43.439592 bestmemit: -5.220971 0.005070 -2.450513 0.277601 -0.084640 0.267224
#> Iteration: 100 bestvalit: 43.435397 bestmemit: -7.663496 0.005046 -2.449201 0.277380 -0.086379 0.267304
#> Iteration: 125 bestvalit: 43.435380 bestmemit: -8.651750 0.005033 -2.449072 0.277286 -0.086226 0.267336
#> Iteration: 150 bestvalit: 43.435380 bestmemit: -9.775023 0.005033 -2.449075 0.277288 -0.086222 0.267332
#> ... Finished Calibration.
#> Best solution: 43.4353803531426
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.1State.normal.boxcox.AR2.a0std
#> Reference model name for maximum acceptable calib. solution: model.1State.normal.boxcox.AR1.a0std
#> Reference model maximum acceptable calib. solution: 44.5858741260573
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 60
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 70.159235 bestmemit: -8.263002 0.022390 -2.799127 0.456866 -0.200108 0.607537
#> Iteration: 50 bestvalit: 44.028579 bestmemit: -5.917355 0.001680 -2.425352 0.312784 -0.088987 0.263929
#> Iteration: 75 bestvalit: 43.436978 bestmemit: -7.338750 0.005087 -2.449713 0.278574 -0.087593 0.269584
#> Iteration: 100 bestvalit: 43.435390 bestmemit: -7.712201 0.005024 -2.449020 0.277373 -0.086190 0.267371
#> Iteration: 125 bestvalit: 43.435380 bestmemit: -9.385738 0.005033 -2.449071 0.277288 -0.086215 0.267331
#> Iteration: 150 bestvalit: 43.435380 bestmemit: -9.562900 0.005033 -2.449075 0.277287 -0.086222 0.267333
#> ... Finished Calibration.
#> Best solution: 43.4353803531878
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 43.4353803531878
#> - total population size: 60
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 50.099622 bestmemit: -6.864188 0.009326 -2.506435 0.245115 -0.051815 0.504324
#> Iteration: 50 bestvalit: 43.578357 bestmemit: -4.403569 0.003731 -2.442977 0.289481 -0.077986 0.262812
#> Iteration: 75 bestvalit: 43.435622 bestmemit: -8.198533 0.005070 -2.449390 0.278163 -0.087408 0.267294
#> Iteration: 100 bestvalit: 43.435381 bestmemit: -9.055654 0.005036 -2.449113 0.277299 -0.086230 0.267326
#> Iteration: 125 bestvalit: 43.435380 bestmemit: -8.914866 0.005033 -2.449077 0.277290 -0.086224 0.267333
#> ... Finished Calibration.
#> Best solution: 43.4353803531584
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 43.4353803531584
#> - total population size: 60
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 57.117276 bestmemit: -4.174850 0.006703 -2.351515 0.114778 -0.132825 0.585858
#> Iteration: 50 bestvalit: 43.625772 bestmemit: -9.111912 0.005978 -2.449537 0.269620 -0.098387 0.291354
#> Iteration: 75 bestvalit: 43.435703 bestmemit: -7.722486 0.004990 -2.448329 0.276745 -0.086037 0.267697
#> Iteration: 100 bestvalit: 43.435384 bestmemit: -8.040627 0.005030 -2.449062 0.277438 -0.086333 0.267318
#> Iteration: 125 bestvalit: 43.435380 bestmemit: -8.675083 0.005033 -2.449077 0.277289 -0.086223 0.267333
#> Iteration: 150 bestvalit: 43.435380 bestmemit: -8.530707 0.005033 -2.449076 0.277289 -0.086223 0.267332
#> ... Finished Calibration.
#> Best solution: 43.4353803531609
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 43.4353803531584
#> - total population size: 60
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 54.222125 bestmemit: -3.253445 0.009404 -2.529168 0.297290 -0.093209 0.609717
#> Iteration: 50 bestvalit: 43.441003 bestmemit: -5.031792 0.004802 -2.447501 0.277524 -0.083961 0.268650
#> Iteration: 75 bestvalit: 43.435382 bestmemit: -8.929052 0.005039 -2.449118 0.277268 -0.086246 0.267316
#> Iteration: 100 bestvalit: 43.435380 bestmemit: -8.090558 0.005033 -2.449077 0.277288 -0.086224 0.267334
#> Iteration: 125 bestvalit: 43.435380 bestmemit: -8.124117 0.005033 -2.449076 0.277289 -0.086223 0.267332
#> ... Finished Calibration.
#> Best solution: 43.4353803531544
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.1State.gamma.boxcox.AR2.a0std
#> Reference model name for maximum acceptable calib. solution: model.1State.gamma.boxcox.AR1.a0std
#> Reference model maximum acceptable calib. solution: 46.8768909934191
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 60
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 60.269315 bestmemit: -8.880882 0.022192 -2.608794 0.062722 0.014939 0.486787
#> Iteration: 50 bestvalit: 45.819873 bestmemit: -7.603946 0.005421 -2.450684 0.312501 -0.122592 0.292741
#> Iteration: 75 bestvalit: 45.524031 bestmemit: -6.577326 0.003942 -2.448834 0.311206 -0.097575 0.285778
#> Iteration: 100 bestvalit: 45.523831 bestmemit: -8.184918 0.003921 -2.448732 0.312022 -0.098190 0.285452
#> Iteration: 125 bestvalit: 45.523825 bestmemit: -8.923193 0.003922 -2.448647 0.311854 -0.098166 0.285412
#> Iteration: 150 bestvalit: 45.523825 bestmemit: -9.176279 0.003922 -2.448648 0.311853 -0.098165 0.285409
#> ... Finished Calibration.
#> Best solution: 45.5238252507769
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 45.5238252507769
#> - total population size: 60
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 56.824250 bestmemit: -7.627896 0.003875 -2.411760 0.123414 0.017046 0.171433
#> Iteration: 50 bestvalit: 45.528085 bestmemit: -5.392567 0.003714 -2.446347 0.309661 -0.095355 0.285816
#> Iteration: 75 bestvalit: 45.523826 bestmemit: -8.190339 0.003918 -2.448644 0.311923 -0.098171 0.285431
#> Iteration: 100 bestvalit: 45.523825 bestmemit: -8.260839 0.003922 -2.448649 0.311853 -0.098165 0.285409
#> Iteration: 125 bestvalit: 45.523825 bestmemit: -8.116602 0.003922 -2.448648 0.311853 -0.098165 0.285409
#> ... Finished Calibration.
#> Best solution: 45.5238252507755
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 45.5238252507755
#> - total population size: 60
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 53.514094 bestmemit: -5.714530 0.016584 -2.504988 0.107436 -0.072290 0.512349
#> Iteration: 50 bestvalit: 45.525291 bestmemit: -5.770867 0.003910 -2.449453 0.312380 -0.096983 0.286116
#> Iteration: 75 bestvalit: 45.523826 bestmemit: -8.306464 0.003920 -2.448647 0.311944 -0.098228 0.285442
#> Iteration: 100 bestvalit: 45.523825 bestmemit: -8.918823 0.003922 -2.448648 0.311853 -0.098164 0.285409
#> Iteration: 125 bestvalit: 45.523825 bestmemit: -9.054290 0.003922 -2.448648 0.311853 -0.098165 0.285409
#> ... Finished Calibration.
#> Best solution: 45.5238252507754
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 45.5238252507754
#> - total population size: 60
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 56.575881 bestmemit: -5.149883 0.017417 -2.452924 -0.056865 -0.006533 0.484169
#> Iteration: 50 bestvalit: 45.625470 bestmemit: -9.284246 0.004100 -2.450280 0.326462 -0.116814 0.292642
#> Iteration: 75 bestvalit: 45.524208 bestmemit: -7.673203 0.003978 -2.449009 0.310535 -0.097575 0.285359
#> Iteration: 100 bestvalit: 45.523826 bestmemit: -8.438684 0.003920 -2.448634 0.311854 -0.098159 0.285385
#> Iteration: 125 bestvalit: 45.523825 bestmemit: -8.288698 0.003922 -2.448647 0.311855 -0.098167 0.285406
#> ... Finished Calibration.
#> Best solution: 45.5238252507917
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.1State.truc.normal.boxcox.AR3.a0std
#> Reference model name for maximum acceptable calib. solution: model.1State.truc.normal.boxcox.AR2.a0std
#> Reference model maximum acceptable calib. solution: 43.435380353141
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 70
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 61.507101 bestmemit: -4.055738 0.020567 -2.387796 0.031935 -0.150644 -0.125357 0.460255
#> Iteration: 50 bestvalit: 43.916385 bestmemit: -6.528053 0.004012 -2.451996 0.292296 -0.019132 -0.051758 0.266662
#> Iteration: 75 bestvalit: 43.330816 bestmemit: -8.228643 0.005346 -2.448667 0.266465 -0.055673 -0.027949 0.268005
#> Iteration: 100 bestvalit: 43.324857 bestmemit: -7.372060 0.005348 -2.448026 0.270354 -0.062022 -0.026349 0.266577
#> Iteration: 125 bestvalit: 43.324820 bestmemit: -9.672190 0.005336 -2.447926 0.270171 -0.061937 -0.026149 0.266488
#> Iteration: 150 bestvalit: 43.324820 bestmemit: -8.065815 0.005335 -2.447917 0.270163 -0.061884 -0.026173 0.266466
#> ... Finished Calibration.
#> Best solution: 43.3248198720627
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 43.3248198720627
#> - total population size: 70
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 46.343002 bestmemit: -6.352871 0.006451 -2.433854 0.312557 -0.080518 -0.084779 0.270943
#> Iteration: 50 bestvalit: 43.326634 bestmemit: -6.393117 0.005223 -2.448013 0.273968 -0.062744 -0.026686 0.266627
#> Iteration: 75 bestvalit: 43.324826 bestmemit: -7.866223 0.005337 -2.447899 0.270120 -0.061842 -0.026263 0.266441
#> Iteration: 100 bestvalit: 43.324820 bestmemit: -8.361804 0.005335 -2.447922 0.270159 -0.061883 -0.026174 0.266461
#> Iteration: 125 bestvalit: 43.324820 bestmemit: -8.247855 0.005335 -2.447920 0.270163 -0.061887 -0.026173 0.266464
#> ... Finished Calibration.
#> Best solution: 43.3248198720064
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 43.3248198720064
#> - total population size: 70
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 63.232611 bestmemit: -1.565480 0.014628 -2.377752 0.083052 -0.213453 0.087286 0.405591
#> Iteration: 50 bestvalit: 44.647412 bestmemit: -9.684793 0.006722 -2.433223 0.192021 -0.007944 -0.051795 0.328713
#> Iteration: 75 bestvalit: 43.335001 bestmemit: -9.944714 0.005228 -2.446463 0.273610 -0.068711 -0.022029 0.266148
#> Iteration: 100 bestvalit: 43.324862 bestmemit: -7.847489 0.005335 -2.448020 0.270646 -0.062372 -0.025960 0.266418
#> Iteration: 125 bestvalit: 43.324821 bestmemit: -8.030446 0.005334 -2.447909 0.270150 -0.061865 -0.026162 0.266502
#> Iteration: 150 bestvalit: 43.324820 bestmemit: -9.472881 0.005335 -2.447922 0.270169 -0.061890 -0.026173 0.266462
#> ... Finished Calibration.
#> Best solution: 43.3248198721849
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 43.3248198720064
#> - total population size: 70
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 63.260679 bestmemit: -7.757682 0.021384 -2.503469 0.299324 -0.408615 0.068274 0.554331
#> Iteration: 50 bestvalit: 43.343996 bestmemit: -4.444542 0.005445 -2.447703 0.266926 -0.059855 -0.027222 0.271963
#> Iteration: 75 bestvalit: 43.324858 bestmemit: -7.060509 0.005329 -2.447940 0.270168 -0.061672 -0.026250 0.266586
#> Iteration: 100 bestvalit: 43.324820 bestmemit: -8.312287 0.005335 -2.447920 0.270164 -0.061891 -0.026173 0.266464
#> Iteration: 125 bestvalit: 43.324820 bestmemit: -8.307184 0.005335 -2.447920 0.270163 -0.061887 -0.026173 0.266464
#> ... Finished Calibration.
#> Best solution: 43.324819872006
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.1State.normal.boxcox.AR3.a0std
#> Reference model name for maximum acceptable calib. solution: model.1State.normal.boxcox.AR2.a0std
#> Reference model maximum acceptable calib. solution: 43.4353803531544
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 70
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 67.245395 bestmemit: -5.861861 0.025365 -2.605260 -0.045506 0.312691 -0.275554 0.605095
#> Iteration: 50 bestvalit: 43.736003 bestmemit: -3.245846 0.004574 -2.437461 0.267455 -0.037612 -0.048270 0.246036
#> Iteration: 75 bestvalit: 43.328022 bestmemit: -5.347688 0.005364 -2.447238 0.268034 -0.059353 -0.028309 0.268326
#> Iteration: 100 bestvalit: 43.324822 bestmemit: -8.083231 0.005331 -2.447927 0.270189 -0.061799 -0.026196 0.266457
#> Iteration: 125 bestvalit: 43.324820 bestmemit: -8.049471 0.005335 -2.447919 0.270163 -0.061886 -0.026174 0.266465
#> Iteration: 150 bestvalit: 43.324820 bestmemit: -8.055678 0.005335 -2.447920 0.270163 -0.061887 -0.026173 0.266464
#> ... Finished Calibration.
#> Best solution: 43.3248198720172
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 43.3248198720172
#> - total population size: 70
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 61.854098 bestmemit: -3.610429 -0.000285 -2.441178 0.037089 0.046570 0.186194 0.401727
#> Iteration: 50 bestvalit: 43.374404 bestmemit: -3.882631 0.005673 -2.451279 0.270986 -0.066979 -0.022760 0.263744
#> Iteration: 75 bestvalit: 43.324937 bestmemit: -6.677794 0.005336 -2.447887 0.270166 -0.061464 -0.026727 0.266497
#> Iteration: 100 bestvalit: 43.324820 bestmemit: -8.401043 0.005335 -2.447915 0.270162 -0.061866 -0.026193 0.266472
#> Iteration: 125 bestvalit: 43.324820 bestmemit: -8.694207 0.005335 -2.447920 0.270162 -0.061886 -0.026174 0.266465
#> ... Finished Calibration.
#> Best solution: 43.3248198720188
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 43.3248198720172
#> - total population size: 70
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 54.823724 bestmemit: -4.790096 -0.000629 -2.450328 0.464046 -0.076290 -0.090731 0.582516
#> Iteration: 50 bestvalit: 43.354617 bestmemit: -4.652082 0.005969 -2.448821 0.262036 -0.060451 -0.031093 0.264161
#> Iteration: 75 bestvalit: 43.324858 bestmemit: -7.210772 0.005334 -2.448008 0.270235 -0.061589 -0.026374 0.266462
#> Iteration: 100 bestvalit: 43.324820 bestmemit: -8.272156 0.005335 -2.447924 0.270158 -0.061876 -0.026176 0.266460
#> Iteration: 125 bestvalit: 43.324820 bestmemit: -8.391837 0.005335 -2.447920 0.270163 -0.061887 -0.026173 0.266464
#> ... Finished Calibration.
#> Best solution: 43.3248198720173
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 43.3248198720172
#> - total population size: 70
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 59.749138 bestmemit: -2.552640 0.014065 -2.455945 -0.132140 0.117297 0.012922 0.467407
#> Iteration: 50 bestvalit: 44.205402 bestmemit: -3.997863 0.009680 -2.482446 0.258010 -0.098010 -0.016305 0.282113
#> Iteration: 75 bestvalit: 43.330385 bestmemit: -6.138440 0.005101 -2.445898 0.273675 -0.061799 -0.028061 0.265651
#> Iteration: 100 bestvalit: 43.324873 bestmemit: -7.603348 0.005315 -2.447858 0.270071 -0.061755 -0.025901 0.266532
#> Iteration: 125 bestvalit: 43.324820 bestmemit: -8.568307 0.005334 -2.447902 0.270172 -0.061905 -0.026172 0.266453
#> Iteration: 150 bestvalit: 43.324820 bestmemit: -8.458181 0.005335 -2.447920 0.270162 -0.061890 -0.026172 0.266468
#> ... Finished Calibration.
#> Best solution: 43.3248198721193
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.1State.gamma.boxcox.AR3.a0std
#> Reference model name for maximum acceptable calib. solution: model.1State.gamma.boxcox.AR2.a0std
#> Reference model maximum acceptable calib. solution: 45.5238252507754
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 70
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 55.166782 bestmemit: -4.499205 0.020168 -2.498517 0.062896 -0.107478 -0.002760 0.508656
#> Iteration: 50 bestvalit: 45.472505 bestmemit: -4.509909 0.004391 -2.449646 0.301657 -0.077173 -0.020608 0.279676
#> Iteration: 75 bestvalit: 45.449541 bestmemit: -6.552051 0.004238 -2.447404 0.303283 -0.076141 -0.022865 0.284342
#> Iteration: 100 bestvalit: 45.449380 bestmemit: -8.687375 0.004236 -2.447437 0.303402 -0.076404 -0.022542 0.284839
#> Iteration: 125 bestvalit: 45.449380 bestmemit: -9.086488 0.004238 -2.447442 0.303397 -0.076428 -0.022554 0.284846
#> ... Finished Calibration.
#> Best solution: 45.4493801075256
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 45.4493801075256
#> - total population size: 70
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 52.986132 bestmemit: -3.872445 -0.003229 -2.429060 0.326430 -0.095445 0.092788 0.475233
#> Iteration: 50 bestvalit: 45.460947 bestmemit: -4.842156 0.004187 -2.449512 0.308537 -0.080651 -0.018457 0.282543
#> Iteration: 75 bestvalit: 45.449452 bestmemit: -7.105605 0.004248 -2.447376 0.302707 -0.075863 -0.022793 0.284742
#> Iteration: 100 bestvalit: 45.449380 bestmemit: -8.538226 0.004238 -2.447444 0.303397 -0.076431 -0.022555 0.284844
#> Iteration: 125 bestvalit: 45.449380 bestmemit: -8.499103 0.004238 -2.447442 0.303399 -0.076430 -0.022554 0.284846
#> ... Finished Calibration.
#> Best solution: 45.4493801075244
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 45.4493801075244
#> - total population size: 70
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 63.198840 bestmemit: -5.311117 0.013796 -2.496864 0.025514 0.240660 -0.226453 0.566007
#> Iteration: 50 bestvalit: 45.527403 bestmemit: -4.701274 0.003213 -2.439699 0.316869 -0.082642 -0.019719 0.291363
#> Iteration: 75 bestvalit: 45.450556 bestmemit: -5.630881 0.004226 -2.447865 0.304579 -0.075809 -0.023514 0.284255
#> Iteration: 100 bestvalit: 45.449384 bestmemit: -8.102261 0.004239 -2.447390 0.303245 -0.076385 -0.022557 0.284926
#> Iteration: 125 bestvalit: 45.449380 bestmemit: -8.044756 0.004238 -2.447442 0.303399 -0.076431 -0.022554 0.284849
#> Iteration: 150 bestvalit: 45.449380 bestmemit: -8.012464 0.004238 -2.447442 0.303399 -0.076430 -0.022554 0.284846
#> ... Finished Calibration.
#> Best solution: 45.449380107526
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 45.4493801075244
#> - total population size: 70
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 68.369805 bestmemit: -9.920751 0.011085 -2.744016 0.509213 -0.102854 -0.027388 0.463096
#> Iteration: 50 bestvalit: 45.483085 bestmemit: -5.752027 0.004783 -2.453016 0.310447 -0.086482 -0.023333 0.283790
#> Iteration: 75 bestvalit: 45.449631 bestmemit: -6.143923 0.004222 -2.447381 0.303526 -0.076052 -0.022847 0.284596
#> Iteration: 100 bestvalit: 45.449380 bestmemit: -8.553629 0.004238 -2.447436 0.303387 -0.076423 -0.022545 0.284843
#> Iteration: 125 bestvalit: 45.449380 bestmemit: -8.463028 0.004238 -2.447442 0.303399 -0.076430 -0.022554 0.284846
#> ... Finished Calibration.
#> Best solution: 45.4493801075249
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.2State.truc.normal.boxcox.AR0.a0std
#> Reference model name for maximum acceptable calib. solution: model.1State.truc.normal.boxcox.AR3.a0std
#> Reference model maximum acceptable calib. solution: 43.324819872006
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 90
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 51.370011 bestmemit: -3.360657 0.013931 0.399910 -2.450995 0.285601 0.334780 0.994221 0.322653 0.912619
#> Iteration: 50 bestvalit: 44.043990 bestmemit: -2.589635 0.018446 0.011511 -2.493591 0.281844 0.470297 0.975040 0.953638 0.978016
#> Iteration: 75 bestvalit: 36.965611 bestmemit: -4.122699 0.016300 0.009587 -2.452784 0.119281 0.409767 0.952967 0.877371 0.998950
#> Iteration: 100 bestvalit: 36.915137 bestmemit: -4.708094 0.016071 0.009324 -2.450231 0.120756 0.421915 0.962071 0.897232 0.999946
#> Iteration: 125 bestvalit: 36.909157 bestmemit: -5.976195 0.016116 0.009364 -2.450684 0.120514 0.417977 0.961102 0.896804 0.999326
#> Iteration: 150 bestvalit: 36.908271 bestmemit: -6.794884 0.016124 0.009366 -2.450788 0.120435 0.417266 0.961132 0.896622 0.999991
#> Iteration: 175 bestvalit: 36.908181 bestmemit: -8.012170 0.016123 0.009363 -2.450777 0.120531 0.417896 0.961103 0.896061 0.999998
#> Iteration: 200 bestvalit: 36.908176 bestmemit: -8.013461 0.016122 0.009365 -2.450763 0.120532 0.417801 0.961132 0.896109 1.000000
#> Iteration: 225 bestvalit: 36.908176 bestmemit: -8.007625 0.016122 0.009365 -2.450765 0.120533 0.417787 0.961131 0.896102 1.000000
#> ... Finished Calibration.
#> Best solution: 36.9081759056189
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 36.9081759056189
#> - total population size: 90
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 58.766388 bestmemit: -5.999529 0.019260 -0.000937 -2.506577 0.636067 0.621424 0.988424 0.810023 0.708124
#> Iteration: 50 bestvalit: 44.943920 bestmemit: -9.334307 0.014959 0.005169 -2.454489 0.204789 0.125780 0.942340 0.328191 0.254561
#> Iteration: 75 bestvalit: 36.988303 bestmemit: -5.563698 0.016324 0.009152 -2.452538 0.121005 0.395898 0.957501 0.899709 0.985258
#> Iteration: 100 bestvalit: 36.910103 bestmemit: -5.305492 0.016128 0.009358 -2.450761 0.120249 0.416094 0.960685 0.897039 0.999981
#> Iteration: 125 bestvalit: 36.908732 bestmemit: -6.158120 0.016101 0.009339 -2.450515 0.120054 0.417293 0.961502 0.896214 0.999977
#> Iteration: 150 bestvalit: 36.908255 bestmemit: -6.718041 0.016120 0.009367 -2.450778 0.120544 0.417816 0.961192 0.896133 0.999992
#> Iteration: 175 bestvalit: 36.908176 bestmemit: -8.120769 0.016122 0.009365 -2.450764 0.120518 0.417816 0.961133 0.896103 1.000000
#> Iteration: 200 bestvalit: 36.908176 bestmemit: -8.073938 0.016122 0.009365 -2.450765 0.120534 0.417794 0.961129 0.896099 1.000000
#> ... Finished Calibration.
#> Best solution: 36.9081759056122
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 36.9081759056122
#> - total population size: 90
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 74.897179 bestmemit: -2.756672 -0.048552 0.021090 -2.588428 0.339099 0.473518 0.266212 0.830635 0.574488
#> Iteration: 50 bestvalit: 51.505354 bestmemit: -3.176398 0.013766 0.016054 -2.461458 0.379423 0.434861 0.703316 0.791041 0.288224
#> Iteration: 75 bestvalit: 38.877776 bestmemit: -5.509500 0.011377 0.017822 -2.469257 0.408896 0.124221 0.737271 0.954259 0.498162
#> Iteration: 100 bestvalit: 37.262245 bestmemit: -5.767752 0.009216 0.016167 -2.450564 0.380099 0.120730 0.914522 0.951743 0.191192
#> Iteration: 125 bestvalit: 36.917112 bestmemit: -8.248479 0.009424 0.016151 -2.451391 0.405968 0.121740 0.895220 0.959054 0.000281
#> Iteration: 150 bestvalit: 36.908771 bestmemit: -8.108127 0.009404 0.016140 -2.451027 0.414259 0.120432 0.895095 0.961147 0.000024
#> Iteration: 175 bestvalit: 36.908208 bestmemit: -7.811830 0.009372 0.016125 -2.450834 0.417596 0.120438 0.895898 0.961067 0.000003
#> Iteration: 200 bestvalit: 36.908178 bestmemit: -9.029941 0.009365 0.016122 -2.450775 0.417619 0.120553 0.896084 0.961101 0.000000
#> Iteration: 225 bestvalit: 36.908176 bestmemit: -9.404569 0.009365 0.016122 -2.450765 0.417789 0.120537 0.896090 0.961132 0.000000
#> Iteration: 250 bestvalit: 36.908176 bestmemit: -9.442820 0.009365 0.016122 -2.450765 0.417784 0.120531 0.896098 0.961132 0.000000
#> ... Finished Calibration.
#> Best solution: 36.9081759085739
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 36.9081759056122
#> - total population size: 90
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 73.905791 bestmemit: -9.017877 -0.410882 0.005439 -2.343520 0.340013 0.530443 0.706789 0.793881 0.423940
#> Iteration: 50 bestvalit: 45.701045 bestmemit: -6.394519 0.015443 0.023432 -2.556475 0.237502 0.185351 0.424828 0.908120 0.223202
#> Iteration: 75 bestvalit: 43.057904 bestmemit: -5.665613 0.010869 0.019628 -2.502089 0.392186 0.181195 0.370490 0.854054 0.210249
#> Iteration: 100 bestvalit: 37.890871 bestmemit: -9.953790 0.011113 0.017632 -2.470653 0.536719 0.118369 0.876362 0.931120 0.230963
#> Iteration: 125 bestvalit: 36.965767 bestmemit: -6.850832 0.009906 0.016716 -2.457731 0.416559 0.121397 0.904162 0.958543 0.008698
#> Iteration: 150 bestvalit: 36.913111 bestmemit: -5.387849 0.009352 0.016146 -2.451056 0.421452 0.119418 0.895957 0.961732 0.001964
#> Iteration: 175 bestvalit: 36.908381 bestmemit: -8.225779 0.009361 0.016108 -2.450566 0.417723 0.120604 0.895731 0.960907 0.000115
#> Iteration: 200 bestvalit: 36.908198 bestmemit: -7.962537 0.009367 0.016125 -2.450808 0.418126 0.120535 0.896016 0.961157 0.000013
#> Iteration: 225 bestvalit: 36.908177 bestmemit: -8.561777 0.009366 0.016123 -2.450773 0.417873 0.120534 0.896025 0.961132 0.000001
#> Iteration: 250 bestvalit: 36.908176 bestmemit: -9.464167 0.009365 0.016122 -2.450764 0.417791 0.120535 0.896097 0.961130 0.000000
#> Iteration: 275 bestvalit: 36.908176 bestmemit: -9.219053 0.009365 0.016122 -2.450765 0.417790 0.120533 0.896105 0.961130 0.000000
#> ... Finished Calibration.
#> Best solution: 36.9081759092979
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.2State.normal.boxcox.AR0.a0std
#> Reference model name for maximum acceptable calib. solution: model.1State.normal.boxcox.AR3.a0std
#> Reference model maximum acceptable calib. solution: 43.3248198720172
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 90
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 60.815336 bestmemit: -4.933918 -0.180311 0.020626 -2.568160 0.586640 0.595641 0.070160 0.988901 0.636199
#> Iteration: 50 bestvalit: 45.116363 bestmemit: -7.036638 0.009974 0.017603 -2.487119 0.745603 0.151482 0.313940 0.924791 0.200737
#> Iteration: 75 bestvalit: 39.518769 bestmemit: -3.817179 0.009209 0.017320 -2.471115 0.565090 0.126712 0.678061 0.944183 0.060988
#> Iteration: 100 bestvalit: 37.011022 bestmemit: -4.231910 0.009383 0.016071 -2.449763 0.385015 0.122574 0.900072 0.957867 0.040389
#> Iteration: 125 bestvalit: 36.920415 bestmemit: -6.167318 0.009424 0.016066 -2.450690 0.415987 0.122354 0.902107 0.964047 0.002572
#> Iteration: 150 bestvalit: 36.908765 bestmemit: -6.901613 0.009373 0.016098 -2.450473 0.416859 0.120762 0.898166 0.961200 0.000057
#> Iteration: 175 bestvalit: 36.908196 bestmemit: -8.971663 0.009362 0.016117 -2.450706 0.417477 0.120500 0.896118 0.961100 0.000014
#> Iteration: 200 bestvalit: 36.908178 bestmemit: -9.640562 0.009365 0.016122 -2.450775 0.417890 0.120519 0.896108 0.961127 0.000001
#> Iteration: 225 bestvalit: 36.908176 bestmemit: -9.163827 0.009365 0.016122 -2.450764 0.417792 0.120532 0.896089 0.961134 0.000000
#> Iteration: 250 bestvalit: 36.908176 bestmemit: -8.015168 0.009365 0.016122 -2.450765 0.417783 0.120532 0.896097 0.961131 0.000000
#> ... Finished Calibration.
#> Best solution: 36.9081760159772
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 36.9081760159772
#> - total population size: 90
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 68.122971 bestmemit: -1.782925 0.024502 0.023049 -2.606133 0.574123 0.545725 0.667490 0.586533 0.777908
#> Iteration: 50 bestvalit: 50.989079 bestmemit: -4.237007 0.017514 0.005702 -2.443997 0.216009 0.541293 0.828167 0.563767 0.589800
#> Iteration: 75 bestvalit: 47.138762 bestmemit: -5.844361 0.022813 0.018554 -2.567198 0.161880 0.466359 0.905890 0.717895 0.366773
#> Iteration: 100 bestvalit: 42.031093 bestmemit: -5.766110 0.019453 0.013070 -2.490893 0.228882 0.345799 0.934312 0.883168 0.610464
#> Iteration: 125 bestvalit: 37.484729 bestmemit: -5.912835 0.015408 0.008396 -2.442066 0.103325 0.469213 0.939636 0.890690 0.981447
#> Iteration: 150 bestvalit: 37.049597 bestmemit: -4.712837 0.016019 0.009470 -2.448579 0.124226 0.403396 0.952360 0.914379 0.987052
#> Iteration: 175 bestvalit: 36.920225 bestmemit: -5.587136 0.016187 0.009526 -2.451602 0.122927 0.414288 0.959527 0.894071 0.997326
#> Iteration: 200 bestvalit: 36.909032 bestmemit: -7.496440 0.016087 0.009304 -2.450336 0.120743 0.420051 0.960749 0.895959 0.999724
#> Iteration: 225 bestvalit: 36.908243 bestmemit: -9.116332 0.016119 0.009361 -2.450732 0.120819 0.418302 0.961378 0.896605 0.999996
#> Iteration: 250 bestvalit: 36.908179 bestmemit: -8.105020 0.016126 0.009369 -2.450818 0.120505 0.417757 0.961105 0.896028 1.000000
#> Iteration: 275 bestvalit: 36.908176 bestmemit: -8.176331 0.016122 0.009366 -2.450767 0.120543 0.417745 0.961136 0.896148 1.000000
#> Iteration: 300 bestvalit: 36.908176 bestmemit: -8.574481 0.016122 0.009365 -2.450764 0.120531 0.417790 0.961129 0.896102 1.000000
#> ... Finished Calibration.
#> Best solution: 36.9081760165382
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 36.9081760159772
#> - total population size: 90
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 70.005478 bestmemit: -2.683703 -0.172681 -0.003654 -2.273532 0.385978 0.524235 0.841272 0.937402 0.074614
#> Iteration: 50 bestvalit: 45.122569 bestmemit: -3.200073 0.005604 0.013267 -2.407362 0.592537 0.118165 0.848476 0.772769 0.608189
#> Iteration: 75 bestvalit: 42.346985 bestmemit: -3.009866 0.010694 0.017490 -2.459375 0.573561 0.130985 0.781777 0.777046 0.539975
#> Iteration: 100 bestvalit: 37.173017 bestmemit: -5.263997 0.008955 0.015586 -2.444929 0.471583 0.127887 0.912986 0.970051 0.143136
#> Iteration: 125 bestvalit: 36.915668 bestmemit: -9.685500 0.009440 0.016222 -2.452178 0.414460 0.122412 0.895004 0.960230 0.002774
#> Iteration: 150 bestvalit: 36.909216 bestmemit: -7.345725 0.009414 0.016170 -2.451405 0.415969 0.120633 0.896099 0.961759 0.000449
#> Iteration: 175 bestvalit: 36.908202 bestmemit: -8.604723 0.009358 0.016120 -2.450741 0.417768 0.120564 0.896089 0.961121 0.000020
#> Iteration: 200 bestvalit: 36.908177 bestmemit: -8.471402 0.009367 0.016124 -2.450795 0.417783 0.120502 0.896026 0.961103 0.000000
#> Iteration: 225 bestvalit: 36.908176 bestmemit: -8.306157 0.009365 0.016122 -2.450769 0.417807 0.120529 0.896088 0.961122 0.000000
#> Iteration: 250 bestvalit: 36.908176 bestmemit: -8.257905 0.009365 0.016122 -2.450766 0.417794 0.120532 0.896102 0.961131 0.000000
#> ... Finished Calibration.
#> Best solution: 36.9081760184973
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 36.9081760159772
#> - total population size: 90
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 56.584302 bestmemit: -6.519634 0.459734 0.019582 -2.522690 0.476546 0.528387 0.793101 0.978667 0.091090
#> Iteration: 50 bestvalit: 49.895819 bestmemit: -3.944366 0.003138 0.010351 -2.402704 0.551103 0.316455 0.141808 0.958600 0.076435
#> Iteration: 75 bestvalit: 37.620441 bestmemit: -7.657663 0.010978 0.017223 -2.465392 0.462366 0.133239 0.855129 0.945359 0.228023
#> Iteration: 100 bestvalit: 36.918139 bestmemit: -9.782622 0.009359 0.016130 -2.450713 0.420764 0.117792 0.897588 0.958651 0.001951
#> Iteration: 125 bestvalit: 36.908296 bestmemit: -8.700896 0.009374 0.016127 -2.450863 0.418011 0.120427 0.896432 0.961081 0.000085
#> Iteration: 150 bestvalit: 36.908176 bestmemit: -8.736676 0.009366 0.016122 -2.450769 0.417815 0.120537 0.896114 0.961125 0.000000
#> Iteration: 175 bestvalit: 36.908176 bestmemit: -8.745011 0.009365 0.016122 -2.450763 0.417796 0.120534 0.896102 0.961132 0.000000
#> ... Finished Calibration.
#> Best solution: 36.9081760137905
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.2State.gamma.boxcox.AR0.a0std
#> Reference model name for maximum acceptable calib. solution: model.1State.gamma.boxcox.AR3.a0std
#> Reference model maximum acceptable calib. solution: 45.4493801075244
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 90
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 75.779144 bestmemit: -4.935289 0.025309 0.234968 -2.652670 0.700855 0.170373 0.871985 0.742640 0.802069
#> Iteration: 50 bestvalit: 51.376321 bestmemit: -2.603509 0.010241 0.010760 -2.400338 0.676572 0.080509 0.718510 0.396495 0.566778
#> Iteration: 75 bestvalit: 44.257808 bestmemit: -4.913664 0.011960 0.015098 -2.443887 0.398341 0.148947 0.662348 0.842082 0.943404
#> Iteration: 100 bestvalit: 40.773297 bestmemit: -5.316554 0.015823 0.022189 -2.533089 0.345540 0.103944 0.658565 0.894231 0.395560
#> Iteration: 125 bestvalit: 37.116877 bestmemit: -8.209682 0.009154 0.016361 -2.452884 0.439244 0.132818 0.862769 0.945742 0.074835
#> Iteration: 150 bestvalit: 36.739270 bestmemit: -8.110012 0.008710 0.015635 -2.444493 0.416757 0.117755 0.883731 0.959595 0.000913
#> Iteration: 175 bestvalit: 36.736075 bestmemit: -9.326172 0.008783 0.015753 -2.445997 0.411614 0.117432 0.884867 0.959034 0.000165
#> Iteration: 200 bestvalit: 36.734906 bestmemit: -9.548934 0.008879 0.015797 -2.446583 0.416827 0.117396 0.884702 0.958899 0.000005
#> Iteration: 225 bestvalit: 36.734850 bestmemit: -8.388585 0.008871 0.015797 -2.446577 0.416268 0.117311 0.884129 0.958641 0.000001
#> Iteration: 250 bestvalit: 36.734846 bestmemit: -8.566194 0.008868 0.015796 -2.446567 0.416179 0.117289 0.884333 0.958671 0.000000
#> Iteration: 275 bestvalit: 36.734846 bestmemit: -8.452753 0.008868 0.015796 -2.446568 0.416169 0.117296 0.884256 0.958682 0.000000
#> ... Finished Calibration.
#> Best solution: 36.7348455387443
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 36.7348455387443
#> - total population size: 90
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 57.290599 bestmemit: -9.759648 0.011793 0.110075 -2.419671 0.518356 0.717558 0.974369 0.737991 0.787997
#> Iteration: 50 bestvalit: 53.699540 bestmemit: -6.059413 0.013724 0.157442 -2.447829 0.413552 0.435238 0.998665 0.671202 0.808761
#> Iteration: 75 bestvalit: 52.941887 bestmemit: -6.091442 0.013132 0.119188 -2.437770 0.356665 0.326061 0.999996 0.563396 0.998722
#> Iteration: 100 bestvalit: 52.939274 bestmemit: -7.717533 0.013263 0.098118 -2.439445 0.356233 0.649060 1.000000 0.623174 0.999982
#> Iteration: 125 bestvalit: 52.939203 bestmemit: -8.163549 0.013254 0.091661 -2.439369 0.356556 0.609016 1.000000 0.642833 1.000000
#> Iteration: 150 bestvalit: 52.939202 bestmemit: -8.143409 0.013251 0.091336 -2.439336 0.356522 0.578366 1.000000 0.642568 1.000000
#> Iteration: 175 bestvalit: 52.939202 bestmemit: -8.113010 0.013251 0.091614 -2.439338 0.356521 0.563861 1.000000 0.641668 1.000000
#> ... Finished Calibration.
#> Best solution: 52.9392016892755
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 36.7348455387443
#> - total population size: 90
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 65.036282 bestmemit: -7.053277 0.017549 0.142591 -2.497495 0.237707 0.456553 0.918720 0.561046 0.292246
#> Iteration: 50 bestvalit: 50.204150 bestmemit: -6.695995 0.004769 0.009459 -2.372287 0.580809 0.326293 0.734848 0.852122 0.532539
#> Iteration: 75 bestvalit: 44.086758 bestmemit: -5.350699 0.010510 0.016499 -2.456487 0.379833 0.230472 0.934068 0.861849 0.223996
#> Iteration: 100 bestvalit: 37.547268 bestmemit: -8.937665 0.009153 0.015733 -2.449254 0.437745 0.134035 0.898146 0.958734 0.398323
#> Iteration: 125 bestvalit: 36.804240 bestmemit: -6.777186 0.008788 0.015753 -2.446423 0.445956 0.117655 0.907305 0.961759 0.007241
#> Iteration: 150 bestvalit: 36.737634 bestmemit: -8.828418 0.008847 0.015791 -2.446597 0.418114 0.116505 0.885008 0.958117 0.001723
#> Iteration: 175 bestvalit: 36.735148 bestmemit: -7.606768 0.008877 0.015808 -2.446736 0.417269 0.117778 0.884563 0.958664 0.000046
#> Iteration: 200 bestvalit: 36.734855 bestmemit: -9.379100 0.008861 0.015794 -2.446547 0.415907 0.117287 0.884291 0.958692 0.000000
#> Iteration: 225 bestvalit: 36.734846 bestmemit: -8.999782 0.008870 0.015797 -2.446578 0.416219 0.117289 0.884191 0.958675 0.000000
#> Iteration: 250 bestvalit: 36.734846 bestmemit: -9.406823 0.008868 0.015796 -2.446566 0.416151 0.117300 0.884250 0.958690 0.000000
#> Iteration: 275 bestvalit: 36.734846 bestmemit: -9.211539 0.008868 0.015796 -2.446565 0.416175 0.117297 0.884261 0.958684 0.000000
#> ... Finished Calibration.
#> Best solution: 36.7348455245248
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 36.7348455245248
#> - total population size: 90
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 58.885324 bestmemit: -4.540825 0.018320 -0.007783 -2.507985 0.209409 0.436395 0.974150 0.672969 0.216557
#> Iteration: 50 bestvalit: 54.599250 bestmemit: -5.342183 0.012036 -0.314328 -2.417707 0.355543 0.369929 0.998074 0.864908 0.374964
#> Iteration: 75 bestvalit: 44.766156 bestmemit: -4.359936 0.017775 0.008833 -2.460763 0.261916 0.512971 0.984916 0.786034 0.533319
#> Iteration: 100 bestvalit: 37.727835 bestmemit: -6.357478 0.016211 0.009396 -2.448734 0.119667 0.431964 0.976061 0.880402 0.546861
#> Iteration: 125 bestvalit: 36.842307 bestmemit: -6.888980 0.015875 0.008967 -2.448300 0.115825 0.397336 0.951356 0.882384 0.935717
#> Iteration: 150 bestvalit: 36.740315 bestmemit: -9.053724 0.015797 0.008883 -2.446513 0.116430 0.414117 0.956787 0.886004 0.997549
#> Iteration: 175 bestvalit: 36.735007 bestmemit: -7.179397 0.015788 0.008861 -2.446496 0.117302 0.415234 0.958866 0.884603 0.999902
#> Iteration: 200 bestvalit: 36.734861 bestmemit: -7.772645 0.015800 0.008874 -2.446622 0.117300 0.416531 0.958643 0.884273 0.999996
#> Iteration: 225 bestvalit: 36.734846 bestmemit: -8.158451 0.015796 0.008868 -2.446573 0.117286 0.416198 0.958680 0.884256 1.000000
#> Iteration: 250 bestvalit: 36.734846 bestmemit: -8.681521 0.015796 0.008868 -2.446566 0.117299 0.416181 0.958685 0.884255 1.000000
#> ... Finished Calibration.
#> Best solution: 36.7348455233403
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.2State.truc.normal.boxcox.AR1.a0std
#> Reference model name for maximum acceptable calib. solution: model.2State.truc.normal.boxcox.AR0.a0std
#> Reference model maximum acceptable calib. solution: 36.9081759056122
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 100
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 76.175489 bestmemit: -9.075088 -0.349778 0.023590 -2.478345 -0.053040 0.473335 0.672765 0.482315 0.960875 0.406184
#> Iteration: 50 bestvalit: 60.200485 bestmemit: -8.041141 0.009054 0.008966 -2.498503 0.250009 0.166503 0.586353 0.813421 0.755801 0.082557
#> Iteration: 75 bestvalit: 42.290306 bestmemit: -5.484422 0.008431 0.008010 -2.527081 0.267633 0.067130 0.565522 0.747644 0.867846 0.212566
#> Iteration: 100 bestvalit: 35.038091 bestmemit: -3.409376 0.005132 0.003924 -2.460615 0.238418 0.058756 0.593007 0.892597 0.848454 0.484437
#> Iteration: 125 bestvalit: 29.801891 bestmemit: -6.574975 0.003726 -0.000293 -2.434271 0.224893 0.077310 0.388610 0.949901 0.866762 0.062435
#> Iteration: 150 bestvalit: 28.144644 bestmemit: -4.548268 0.007724 0.002071 -2.446610 0.166691 0.089716 0.324598 0.964047 0.912690 0.990159
#> Iteration: 175 bestvalit: 28.112513 bestmemit: -5.696608 0.007473 0.001882 -2.443727 0.166558 0.092071 0.327153 0.964908 0.916977 0.999941
#> Iteration: 200 bestvalit: 28.111339 bestmemit: -6.358978 0.007458 0.001858 -2.443901 0.167166 0.091763 0.329845 0.964335 0.914750 0.999954
#> Iteration: 225 bestvalit: 28.111072 bestmemit: -8.515949 0.007454 0.001863 -2.443884 0.167202 0.091751 0.328835 0.964262 0.915074 0.999994
#> Iteration: 250 bestvalit: 28.111062 bestmemit: -8.961336 0.007454 0.001861 -2.443873 0.167182 0.091745 0.328641 0.964215 0.915079 1.000000
#> Iteration: 275 bestvalit: 28.111061 bestmemit: -9.555253 0.007454 0.001862 -2.443881 0.167180 0.091762 0.328658 0.964213 0.915063 1.000000
#> Iteration: 300 bestvalit: 28.111061 bestmemit: -9.358239 0.007455 0.001862 -2.443880 0.167173 0.091759 0.328640 0.964215 0.915074 1.000000
#> ... Finished Calibration.
#> Best solution: 28.1110609904118
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 28.1110609904118
#> - total population size: 100
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 79.946890 bestmemit: -7.469228 0.049367 0.058789 -3.104605 -0.311199 0.567303 0.592596 0.679162 0.544440 0.521339
#> Iteration: 50 bestvalit: 64.915451 bestmemit: -9.230334 0.154494 0.004812 -2.519270 0.287389 0.283501 0.605881 0.852424 0.884055 0.399893
#> Iteration: 75 bestvalit: 45.832635 bestmemit: -7.650247 0.006453 0.003649 -2.480625 0.251327 0.311163 0.503088 0.836470 0.934445 0.134413
#> Iteration: 100 bestvalit: 44.277246 bestmemit: -6.858633 0.007931 0.004949 -2.493968 0.258282 0.100764 0.455252 0.554730 0.915704 0.215476
#> Iteration: 125 bestvalit: 36.002586 bestmemit: -4.488366 0.008257 0.005224 -2.427928 0.121342 0.059288 0.426408 0.865025 0.905640 0.251857
#> Iteration: 150 bestvalit: 32.794927 bestmemit: -5.755586 0.005309 0.002727 -2.450892 0.222272 0.112649 0.434155 0.981263 0.943720 0.377400
#> Iteration: 175 bestvalit: 28.713087 bestmemit: -6.611659 0.006870 0.001703 -2.434502 0.163680 0.094613 0.374746 0.960047 0.847556 0.934780
#> Iteration: 200 bestvalit: 28.158706 bestmemit: -5.747909 0.007317 0.001689 -2.443558 0.169279 0.091616 0.333078 0.960329 0.910761 0.965132
#> Iteration: 225 bestvalit: 28.114990 bestmemit: -5.445818 0.007377 0.001790 -2.443350 0.168065 0.091938 0.323916 0.963152 0.912109 0.999831
#> Iteration: 250 bestvalit: 28.111362 bestmemit: -7.477393 0.007459 0.001864 -2.443840 0.167012 0.091880 0.328397 0.964754 0.915130 0.999923
#> Iteration: 275 bestvalit: 28.111087 bestmemit: -9.676653 0.007460 0.001865 -2.443903 0.167095 0.091776 0.328660 0.964297 0.915164 0.999982
#> Iteration: 300 bestvalit: 28.111064 bestmemit: -9.634793 0.007457 0.001864 -2.443892 0.167145 0.091755 0.328659 0.964221 0.914991 0.999998
#> Iteration: 325 bestvalit: 28.111061 bestmemit: -8.794206 0.007454 0.001861 -2.443876 0.167180 0.091757 0.328651 0.964211 0.915069 1.000000
#> Iteration: 350 bestvalit: 28.111061 bestmemit: -9.820926 0.007455 0.001862 -2.443882 0.167172 0.091759 0.328643 0.964214 0.915069 1.000000
#> ... Finished Calibration.
#> Best solution: 28.1110609899975
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 28.1110609899975
#> - total population size: 100
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 58.569067 bestmemit: -7.884550 0.239208 0.002251 -2.511640 0.337238 0.314809 0.579533 0.462022 0.950160 0.404073
#> Iteration: 50 bestvalit: 33.747664 bestmemit: -6.791222 0.003801 0.009006 -2.420894 0.099582 0.505300 0.081191 0.818207 0.870376 0.662072
#> Iteration: 75 bestvalit: 28.603519 bestmemit: -9.856195 0.001343 0.006992 -2.444361 0.177467 0.346604 0.091723 0.829210 0.950955 0.050606
#> Iteration: 100 bestvalit: 28.115440 bestmemit: -5.180371 0.001782 0.007348 -2.443252 0.168159 0.331850 0.092419 0.916598 0.964456 0.000532
#> Iteration: 125 bestvalit: 28.111128 bestmemit: -7.041668 0.001855 0.007453 -2.443879 0.167197 0.328282 0.091764 0.915448 0.964187 0.000001
#> Iteration: 150 bestvalit: 28.111072 bestmemit: -7.487531 0.001864 0.007456 -2.443889 0.167159 0.328535 0.091735 0.915065 0.964203 0.000000
#> Iteration: 175 bestvalit: 28.111062 bestmemit: -8.068001 0.001863 0.007455 -2.443883 0.167165 0.328621 0.091758 0.915078 0.964214 0.000001
#> Iteration: 200 bestvalit: 28.111061 bestmemit: -8.156465 0.001862 0.007455 -2.443881 0.167174 0.328644 0.091758 0.915070 0.964214 0.000000
#> ... Finished Calibration.
#> Best solution: 28.1110609857224
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 28.1110609857224
#> - total population size: 100
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 60.156917 bestmemit: -5.905640 0.012073 -0.308293 -2.409147 0.023244 0.490526 0.693831 0.971234 0.774512 0.574733
#> Iteration: 50 bestvalit: 46.104779 bestmemit: -7.199690 0.002050 -0.005171 -2.340783 0.122238 0.139121 0.423657 0.773578 0.774565 0.221331
#> Iteration: 75 bestvalit: 43.713794 bestmemit: -6.589289 0.003401 0.001550 -2.396947 0.138486 0.213825 0.512706 0.834576 0.784206 0.112667
#> Iteration: 100 bestvalit: 39.481363 bestmemit: -3.618064 0.002459 -0.004285 -2.412928 0.204551 0.161800 0.416585 0.804484 0.768820 0.696287
#> Iteration: 125 bestvalit: 30.710290 bestmemit: -9.066324 0.006418 -0.000275 -2.415651 0.139847 0.102180 0.569110 0.962169 0.927015 0.877539
#> Iteration: 150 bestvalit: 28.301976 bestmemit: -6.506877 0.007451 0.001918 -2.441448 0.163888 0.101105 0.308690 0.973873 0.932182 0.977345
#> Iteration: 175 bestvalit: 28.125348 bestmemit: -6.384336 0.007359 0.001845 -2.444300 0.169038 0.092595 0.329712 0.966292 0.921780 0.996085
#> Iteration: 200 bestvalit: 28.113240 bestmemit: -7.113982 0.007406 0.001824 -2.443408 0.167210 0.092645 0.330739 0.965341 0.918599 0.999964
#> Iteration: 225 bestvalit: 28.111246 bestmemit: -6.778562 0.007444 0.001853 -2.443918 0.167409 0.091934 0.328381 0.964310 0.915333 0.999916
#> Iteration: 250 bestvalit: 28.111075 bestmemit: -8.205305 0.007456 0.001865 -2.443889 0.167141 0.091762 0.328647 0.964185 0.915132 0.999988
#> Iteration: 275 bestvalit: 28.111062 bestmemit: -8.892681 0.007455 0.001863 -2.443870 0.167141 0.091763 0.328624 0.964212 0.915033 1.000000
#> Iteration: 300 bestvalit: 28.111061 bestmemit: -8.750284 0.007455 0.001862 -2.443880 0.167172 0.091760 0.328641 0.964222 0.915074 1.000000
#> Iteration: 325 bestvalit: 28.111061 bestmemit: -8.669356 0.007455 0.001862 -2.443883 0.167172 0.091759 0.328647 0.964215 0.915073 1.000000
#> ... Finished Calibration.
#> Best solution: 28.1110609886384
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.2State.normal.boxcox.AR1.a0std
#> Reference model name for maximum acceptable calib. solution: model.2State.normal.boxcox.AR0.a0std
#> Reference model maximum acceptable calib. solution: 36.9081760137905
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 100
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 82.899253 bestmemit: -9.390405 0.030094 0.098415 -2.950879 0.161174 0.591640 0.335100 0.866758 0.519883 0.894864
#> Iteration: 50 bestvalit: 46.076703 bestmemit: -4.961621 0.021677 0.016260 -2.524976 -0.014241 0.289827 0.382919 0.971097 0.828245 0.210457
#> Iteration: 75 bestvalit: 37.292073 bestmemit: -5.751123 0.011344 0.002849 -2.454705 0.106457 0.106649 0.539799 0.989006 0.583152 0.429021
#> Iteration: 100 bestvalit: 32.310479 bestmemit: -4.002210 0.010667 0.004191 -2.446258 0.093588 0.104571 0.469284 0.977159 0.840672 0.709365
#> Iteration: 125 bestvalit: 28.414135 bestmemit: -5.994753 0.007766 0.001904 -2.446921 0.164499 0.097512 0.370326 0.970223 0.948964 0.929858
#> Iteration: 150 bestvalit: 28.134476 bestmemit: -5.955463 0.007653 0.001950 -2.443274 0.161836 0.092294 0.337167 0.965071 0.914207 0.994330
#> Iteration: 175 bestvalit: 28.113127 bestmemit: -5.869402 0.007471 0.001881 -2.444255 0.167374 0.091779 0.323969 0.964076 0.917048 0.999881
#> Iteration: 200 bestvalit: 28.111225 bestmemit: -8.473447 0.007422 0.001830 -2.443819 0.167702 0.091828 0.328590 0.964140 0.914714 0.999992
#> Iteration: 225 bestvalit: 28.111083 bestmemit: -8.000155 0.007456 0.001867 -2.443944 0.167243 0.091743 0.328659 0.964239 0.915344 0.999992
#> Iteration: 250 bestvalit: 28.111062 bestmemit: -9.661827 0.007454 0.001863 -2.443896 0.167198 0.091775 0.328693 0.964240 0.915127 1.000000
#> Iteration: 275 bestvalit: 28.111061 bestmemit: -8.802641 0.007455 0.001862 -2.443883 0.167174 0.091757 0.328624 0.964220 0.915080 1.000000
#> Iteration: 300 bestvalit: 28.111061 bestmemit: -8.703182 0.007455 0.001862 -2.443881 0.167172 0.091760 0.328658 0.964214 0.915072 1.000000
#> ... Finished Calibration.
#> Best solution: 28.1110609918279
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 28.1110609918279
#> - total population size: 100
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 84.819204 bestmemit: -2.446635 0.048486 0.062943 -3.494459 -0.211552 0.661752 0.735628 0.613094 0.776109 0.258139
#> Iteration: 50 bestvalit: 54.692715 bestmemit: -1.654651 -0.008698 -0.000285 -2.355474 0.181263 0.611019 0.179447 0.658711 0.762492 0.265613
#> Iteration: 75 bestvalit: 33.602880 bestmemit: -5.267048 0.004237 0.009454 -2.459642 0.148562 0.497132 0.076261 0.640967 0.793318 0.199190
#> Iteration: 100 bestvalit: 28.341031 bestmemit: -8.006967 0.001345 0.006906 -2.440217 0.173174 0.348277 0.090764 0.897860 0.964775 0.150722
#> Iteration: 125 bestvalit: 28.113826 bestmemit: -9.058414 0.001801 0.007408 -2.443945 0.168360 0.330113 0.091956 0.917958 0.964984 0.001103
#> Iteration: 150 bestvalit: 28.111142 bestmemit: -7.532493 0.001864 0.007458 -2.443845 0.167083 0.328822 0.091611 0.915240 0.964257 0.000026
#> Iteration: 175 bestvalit: 28.111061 bestmemit: -8.335299 0.001861 0.007454 -2.443870 0.167176 0.328671 0.091751 0.915052 0.964208 0.000000
#> Iteration: 200 bestvalit: 28.111061 bestmemit: -8.378766 0.001862 0.007455 -2.443882 0.167174 0.328644 0.091758 0.915072 0.964215 0.000000
#> ... Finished Calibration.
#> Best solution: 28.1110609880722
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 28.1110609880722
#> - total population size: 100
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 81.564508 bestmemit: -4.309436 0.391581 0.032172 -3.006020 0.120796 0.413235 0.621104 0.287398 0.917177 0.707192
#> Iteration: 50 bestvalit: 59.617746 bestmemit: -5.152113 0.024429 0.015077 -2.550732 -0.028414 0.128209 0.596672 0.420575 0.739439 0.321712
#> Iteration: 75 bestvalit: 49.586864 bestmemit: -3.888516 0.015525 0.009506 -2.456834 0.103517 0.564819 0.370426 0.330607 0.907445 0.032944
#> Iteration: 100 bestvalit: 39.999267 bestmemit: -3.829383 0.002062 0.005460 -2.436088 0.175571 0.181382 0.234743 0.837473 0.947306 0.242200
#> Iteration: 125 bestvalit: 30.618050 bestmemit: -5.803081 0.000422 0.007243 -2.454735 0.184931 0.266203 0.116100 0.873755 0.957857 0.416399
#> Iteration: 150 bestvalit: 28.292548 bestmemit: -6.797620 0.001776 0.007246 -2.441601 0.166291 0.334007 0.091358 0.901785 0.954453 0.099348
#> Iteration: 175 bestvalit: 28.125820 bestmemit: -8.443540 0.001840 0.007413 -2.442670 0.166014 0.336732 0.092184 0.923557 0.965099 0.005498
#> Iteration: 200 bestvalit: 28.111753 bestmemit: -7.997499 0.001811 0.007403 -2.443344 0.167345 0.329356 0.092131 0.915138 0.964488 0.000206
#> Iteration: 225 bestvalit: 28.111114 bestmemit: -9.361373 0.001851 0.007448 -2.443847 0.167257 0.329018 0.091693 0.915092 0.964222 0.000026
#> Iteration: 250 bestvalit: 28.111065 bestmemit: -9.282129 0.001860 0.007452 -2.443861 0.167207 0.328647 0.091774 0.915198 0.964256 0.000001
#> Iteration: 275 bestvalit: 28.111061 bestmemit: -8.424001 0.001862 0.007455 -2.443884 0.167173 0.328648 0.091763 0.915077 0.964226 0.000000
#> Iteration: 300 bestvalit: 28.111061 bestmemit: -8.171943 0.001862 0.007455 -2.443882 0.167167 0.328653 0.091759 0.915069 0.964214 0.000000
#> ... Finished Calibration.
#> Best solution: 28.1110610075556
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 28.1110609880722
#> - total population size: 100
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 60.381434 bestmemit: -8.558200 0.449662 0.003470 -2.535444 0.338681 0.317095 0.741389 0.654867 0.994061 0.247024
#> Iteration: 50 bestvalit: 33.152555 bestmemit: -3.291084 0.003533 0.009151 -2.496228 0.202075 0.352818 0.172010 0.983340 0.967645 0.094421
#> Iteration: 75 bestvalit: 28.246693 bestmemit: -3.764181 0.002204 0.007780 -2.446192 0.163947 0.307974 0.095999 0.933720 0.966454 0.005044
#> Iteration: 100 bestvalit: 28.133328 bestmemit: -4.202657 0.001873 0.007431 -2.443381 0.166848 0.335239 0.092124 0.918933 0.965331 0.001163
#> Iteration: 125 bestvalit: 28.111515 bestmemit: -6.341295 0.001881 0.007482 -2.443887 0.166591 0.328875 0.091758 0.913790 0.964195 0.000075
#> Iteration: 150 bestvalit: 28.111087 bestmemit: -7.729208 0.001859 0.007449 -2.443890 0.167293 0.328220 0.091789 0.915238 0.964227 0.000006
#> Iteration: 175 bestvalit: 28.111063 bestmemit: -8.047992 0.001863 0.007456 -2.443890 0.167156 0.328682 0.091767 0.915140 0.964208 0.000000
#> Iteration: 200 bestvalit: 28.111061 bestmemit: -8.012267 0.001862 0.007455 -2.443880 0.167172 0.328647 0.091761 0.915064 0.964212 0.000000
#> Iteration: 225 bestvalit: 28.111061 bestmemit: -8.010718 0.001862 0.007455 -2.443881 0.167173 0.328645 0.091760 0.915071 0.964215 0.000000
#> ... Finished Calibration.
#> Best solution: 28.1110609876807
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.2State.gamma.boxcox.AR1.a0std
#> Reference model name for maximum acceptable calib. solution: model.2State.gamma.boxcox.AR0.a0std
#> Reference model maximum acceptable calib. solution: 36.7348455233403
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 100
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 66.771973 bestmemit: -8.322658 0.031765 0.026020 -2.574893 -0.215377 0.583442 0.415030 0.936365 0.434164 0.867415
#> Iteration: 50 bestvalit: 58.929443 bestmemit: -3.528316 0.020332 0.028929 -2.544859 -0.024032 0.469392 0.459032 0.907481 0.609996 0.525632
#> Iteration: 75 bestvalit: 44.407914 bestmemit: -2.714109 -0.001519 -0.005768 -2.472666 0.409448 0.176169 0.419845 0.932900 0.813294 0.185809
#> Iteration: 100 bestvalit: 41.716100 bestmemit: -3.570865 0.000424 -0.005908 -2.471033 0.340144 0.205172 0.238526 0.982610 0.854637 0.600536
#> Iteration: 125 bestvalit: 32.408830 bestmemit: -3.175842 0.005057 -0.002458 -2.428846 0.197614 0.122976 0.274280 0.969251 0.714110 0.748318
#> Iteration: 150 bestvalit: 28.547080 bestmemit: -4.002602 0.006370 0.000372 -2.438241 0.181923 0.091119 0.366774 0.945054 0.938882 0.975890
#> Iteration: 175 bestvalit: 27.932436 bestmemit: -5.401257 0.007141 0.001626 -2.444121 0.173753 0.086375 0.319068 0.962883 0.917023 0.973971
#> Iteration: 200 bestvalit: 27.877164 bestmemit: -5.839702 0.007110 0.001463 -2.442125 0.171570 0.088856 0.324683 0.960997 0.903767 0.998649
#> Iteration: 225 bestvalit: 27.872920 bestmemit: -6.470821 0.007203 0.001548 -2.443243 0.171481 0.089480 0.322364 0.961828 0.905359 0.999953
#> Iteration: 250 bestvalit: 27.872600 bestmemit: -7.511937 0.007183 0.001529 -2.443346 0.172062 0.089608 0.323541 0.961906 0.905323 0.999994
#> Iteration: 275 bestvalit: 27.872556 bestmemit: -8.074389 0.007184 0.001531 -2.443391 0.172120 0.089551 0.323280 0.961947 0.905806 1.000000
#> Iteration: 300 bestvalit: 27.872554 bestmemit: -8.076851 0.007185 0.001531 -2.443386 0.172094 0.089522 0.323216 0.961902 0.905732 1.000000
#> Iteration: 325 bestvalit: 27.872553 bestmemit: -8.149803 0.007185 0.001531 -2.443385 0.172087 0.089521 0.323272 0.961906 0.905745 1.000000
#> ... Finished Calibration.
#> Best solution: 27.8725532014191
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 27.8725532014191
#> - total population size: 100
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 67.995504 bestmemit: -5.622903 -0.308302 0.015581 -2.637175 0.196158 0.545054 0.400892 0.710986 0.884171 0.163595
#> Iteration: 50 bestvalit: 42.257727 bestmemit: -5.458297 -0.005352 0.001791 -2.375408 0.144183 0.337931 0.259781 0.850482 0.936747 0.122159
#> Iteration: 75 bestvalit: 28.198890 bestmemit: -4.034451 0.000951 0.006648 -2.443857 0.184120 0.264091 0.089537 0.909267 0.971241 0.019127
#> Iteration: 100 bestvalit: 27.932833 bestmemit: -3.998285 0.001506 0.007248 -2.442438 0.169374 0.303318 0.087358 0.906460 0.960910 0.001638
#> Iteration: 125 bestvalit: 27.874661 bestmemit: -5.592667 0.001474 0.007134 -2.442752 0.172223 0.322636 0.090201 0.905946 0.961975 0.000305
#> Iteration: 150 bestvalit: 27.872824 bestmemit: -6.282747 0.001545 0.007189 -2.443449 0.172103 0.323828 0.089489 0.906075 0.961904 0.000064
#> Iteration: 175 bestvalit: 27.872605 bestmemit: -6.982120 0.001537 0.007191 -2.443473 0.172115 0.323591 0.089536 0.905923 0.961846 0.000001
#> Iteration: 200 bestvalit: 27.872554 bestmemit: -8.061069 0.001531 0.007186 -2.443385 0.172081 0.323283 0.089516 0.905762 0.961920 0.000000
#> Iteration: 225 bestvalit: 27.872553 bestmemit: -8.073139 0.001531 0.007185 -2.443386 0.172090 0.323274 0.089522 0.905748 0.961905 0.000000
#> ... Finished Calibration.
#> Best solution: 27.8725531978413
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 27.8725531978413
#> - total population size: 100
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 80.458170 bestmemit: -6.293440 0.027323 -0.170188 -2.650084 -0.114329 0.691933 0.152926 0.962470 0.854405 0.864549
#> Iteration: 50 bestvalit: 47.670209 bestmemit: -7.944564 0.002066 -0.054924 -2.452672 0.266122 0.321130 0.524654 0.998797 0.443335 0.720064
#> Iteration: 75 bestvalit: 34.009693 bestmemit: -4.123238 0.000877 -0.002838 -2.416804 0.250722 0.091733 0.520280 0.807747 0.797197 0.006351
#> Iteration: 100 bestvalit: 28.016863 bestmemit: -5.764696 0.007363 0.001540 -2.441351 0.164783 0.089562 0.315546 0.957679 0.858972 0.994179
#> Iteration: 125 bestvalit: 27.876751 bestmemit: -6.881320 0.007129 0.001532 -2.443445 0.173124 0.089899 0.324996 0.960656 0.906069 0.998775
#> Iteration: 150 bestvalit: 27.872681 bestmemit: -7.039601 0.007192 0.001537 -2.443616 0.172281 0.089577 0.323518 0.961894 0.905514 0.999997
#> Iteration: 175 bestvalit: 27.872562 bestmemit: -7.737394 0.007188 0.001533 -2.443407 0.172061 0.089522 0.323138 0.961930 0.905858 0.999999
#> Iteration: 200 bestvalit: 27.872553 bestmemit: -8.006986 0.007186 0.001531 -2.443385 0.172080 0.089516 0.323257 0.961909 0.905737 1.000000
#> Iteration: 225 bestvalit: 27.872553 bestmemit: -8.049159 0.007186 0.001531 -2.443388 0.172091 0.089523 0.323277 0.961905 0.905740 1.000000
#> ... Finished Calibration.
#> Best solution: 27.8725531977678
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 27.8725531977678
#> - total population size: 100
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 86.391836 bestmemit: -2.866047 0.103516 0.019476 -2.337666 -0.294023 0.322020 0.383466 0.753172 0.996722 0.361779
#> Iteration: 50 bestvalit: 61.933639 bestmemit: -6.220429 0.027940 0.023229 -2.449357 -0.181977 0.137073 0.549684 0.569998 0.872634 0.176553
#> Iteration: 75 bestvalit: 35.863184 bestmemit: -4.853075 -0.001084 0.006967 -2.446386 0.168269 0.438269 0.104045 0.805197 0.850139 0.380002
#> Iteration: 100 bestvalit: 34.374166 bestmemit: -4.237546 0.002234 0.008016 -2.444476 0.160113 0.469675 0.093726 0.844165 0.768009 0.393703
#> Iteration: 125 bestvalit: 29.298696 bestmemit: -6.091780 0.003430 0.009309 -2.459762 0.158494 0.401624 0.111316 0.877812 0.959327 0.232779
#> Iteration: 150 bestvalit: 27.992021 bestmemit: -8.147333 0.001264 0.006842 -2.443699 0.179549 0.304541 0.086587 0.886035 0.960597 0.051273
#> Iteration: 175 bestvalit: 27.879724 bestmemit: -7.088242 0.001525 0.007085 -2.443694 0.174414 0.327044 0.088646 0.908863 0.962706 0.000097
#> Iteration: 200 bestvalit: 27.873389 bestmemit: -8.678490 0.001526 0.007162 -2.443272 0.172306 0.325726 0.089418 0.906447 0.961635 0.000335
#> Iteration: 225 bestvalit: 27.872596 bestmemit: -8.462034 0.001527 0.007175 -2.443343 0.172215 0.323051 0.089558 0.905468 0.961967 0.000001
#> Iteration: 250 bestvalit: 27.872559 bestmemit: -8.678549 0.001534 0.007190 -2.443407 0.172031 0.323199 0.089545 0.905692 0.961890 0.000002
#> Iteration: 275 bestvalit: 27.872554 bestmemit: -9.063554 0.001531 0.007186 -2.443392 0.172088 0.323301 0.089519 0.905691 0.961891 0.000000
#> Iteration: 300 bestvalit: 27.872553 bestmemit: -8.991475 0.001531 0.007185 -2.443385 0.172089 0.323283 0.089528 0.905739 0.961905 0.000000
#> ... Finished Calibration.
#> Best solution: 27.8725532035187
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.2State.truc.normal.boxcox.AR2.a0std
#> Reference model name for maximum acceptable calib. solution: model.2State.truc.normal.boxcox.AR1.a0std
#> Reference model maximum acceptable calib. solution: 28.1110609857224
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 110
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 68.797636 bestmemit: -4.438065 -0.004117 0.015611 -2.619158 0.590637 -0.440904 0.586661 0.508788 0.137906 0.979004 0.732442
#> Iteration: 50 bestvalit: 51.292870 bestmemit: -9.343044 -0.027954 0.001448 -2.504999 0.458551 -0.107691 0.600760 0.393198 0.300122 0.981300 0.585433
#> Iteration: 75 bestvalit: 44.930661 bestmemit: -6.155695 0.003973 0.007531 -2.432803 0.157176 -0.056046 0.231990 0.348805 0.838978 0.981004 0.020492
#> Iteration: 100 bestvalit: 42.060115 bestmemit: -7.599104 0.002001 0.007486 -2.440597 0.257377 -0.132976 0.475149 0.303912 0.767919 0.991791 0.033645
#> Iteration: 125 bestvalit: 28.684275 bestmemit: -6.004300 0.000802 0.007313 -2.439215 0.200849 -0.041827 0.363320 0.139258 0.965740 0.983834 0.217619
#> Iteration: 150 bestvalit: 27.150582 bestmemit: -8.730017 0.002469 0.007624 -2.449149 0.229859 -0.062749 0.298488 0.101631 0.968029 0.986229 0.053563
#> Iteration: 175 bestvalit: 26.871808 bestmemit: -6.407367 0.001974 0.007387 -2.449587 0.242035 -0.068937 0.305860 0.113312 0.999907 0.987444 0.006211
#> Iteration: 200 bestvalit: 26.856295 bestmemit: -6.880508 0.002122 0.007524 -2.449506 0.235108 -0.065515 0.306423 0.110082 0.999818 0.986566 0.001411
#> Iteration: 225 bestvalit: 26.852015 bestmemit: -7.921367 0.002047 0.007474 -2.448837 0.235902 -0.066047 0.303758 0.110859 0.999993 0.986613 0.000005
#> Iteration: 250 bestvalit: 26.851719 bestmemit: -7.229366 0.002044 0.007461 -2.448933 0.236144 -0.065826 0.305296 0.110891 0.999998 0.986837 0.000016
#> Iteration: 275 bestvalit: 26.851674 bestmemit: -7.584348 0.002039 0.007455 -2.448935 0.236231 -0.065841 0.304836 0.110964 1.000000 0.986804 0.000003
#> Iteration: 300 bestvalit: 26.851657 bestmemit: -8.741436 0.002043 0.007457 -2.448909 0.236122 -0.065802 0.305002 0.110947 1.000000 0.986815 0.000000
#> Iteration: 325 bestvalit: 26.851656 bestmemit: -8.826827 0.002042 0.007458 -2.448907 0.236117 -0.065807 0.304903 0.110941 1.000000 0.986818 0.000000
#> Iteration: 350 bestvalit: 26.851656 bestmemit: -8.380888 0.002042 0.007457 -2.448907 0.236114 -0.065801 0.304908 0.110945 1.000000 0.986817 0.000000
#> ... Finished Calibration.
#> Best solution: 26.8516560728719
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.8516560728719
#> - total population size: 110
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 69.394037 bestmemit: -9.123991 -0.387284 0.004608 -2.666426 0.386179 0.067772 0.602313 0.646487 0.271033 0.993349 0.125781
#> Iteration: 50 bestvalit: 52.802596 bestmemit: -8.014841 -0.207424 -0.001060 -2.424399 0.217383 0.036110 0.277914 0.333441 0.212802 0.980167 0.623869
#> Iteration: 75 bestvalit: 43.359919 bestmemit: -5.210799 -0.000390 0.006411 -2.463850 0.240877 -0.051408 0.329457 0.305544 0.444918 0.991202 0.525539
#> Iteration: 100 bestvalit: 37.596524 bestmemit: -5.309586 0.001778 0.006647 -2.478696 0.259061 -0.046756 0.451765 0.172426 0.643488 0.987604 0.423754
#> Iteration: 125 bestvalit: 29.803826 bestmemit: -5.603591 0.001182 0.005037 -2.443620 0.291411 -0.085852 0.408437 0.107842 0.919290 0.984089 0.165074
#> Iteration: 150 bestvalit: 27.154090 bestmemit: -5.940485 0.001872 0.007555 -2.452790 0.250582 -0.074515 0.285753 0.103200 0.977945 0.984897 0.049709
#> Iteration: 175 bestvalit: 26.910698 bestmemit: -9.535148 0.002172 0.007729 -2.451705 0.237775 -0.068127 0.300605 0.108504 0.997782 0.988503 0.015674
#> Iteration: 200 bestvalit: 26.864162 bestmemit: -8.570611 0.002109 0.007543 -2.449900 0.236956 -0.067164 0.305650 0.111384 0.999127 0.988089 0.000101
#> Iteration: 225 bestvalit: 26.853527 bestmemit: -7.008245 0.001994 0.007428 -2.448853 0.235905 -0.064940 0.303892 0.110528 0.999903 0.987004 0.000498
#> Iteration: 250 bestvalit: 26.851921 bestmemit: -6.731834 0.002042 0.007459 -2.448802 0.235680 -0.065640 0.304590 0.110780 0.999995 0.986709 0.000028
#> Iteration: 275 bestvalit: 26.851712 bestmemit: -8.094876 0.002038 0.007453 -2.448863 0.236093 -0.065769 0.305444 0.110990 0.999992 0.986828 0.000008
#> Iteration: 300 bestvalit: 26.851666 bestmemit: -8.156754 0.002042 0.007458 -2.448935 0.236138 -0.065798 0.304915 0.110892 0.999999 0.986803 0.000001
#> Iteration: 325 bestvalit: 26.851658 bestmemit: -8.182748 0.002043 0.007458 -2.448902 0.236111 -0.065815 0.304973 0.110928 1.000000 0.986820 0.000000
#> Iteration: 350 bestvalit: 26.851656 bestmemit: -8.103801 0.002042 0.007457 -2.448908 0.236115 -0.065791 0.304927 0.110939 1.000000 0.986812 0.000000
#> Iteration: 375 bestvalit: 26.851656 bestmemit: -8.299849 0.002042 0.007457 -2.448904 0.236114 -0.065807 0.304910 0.110948 1.000000 0.986817 0.000000
#> ... Finished Calibration.
#> Best solution: 26.8516561063903
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.8516560728719
#> - total population size: 110
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 77.884741 bestmemit: -2.073303 0.020919 0.163843 -2.557310 0.071410 -0.051433 0.645929 0.459010 0.806723 0.883461 0.366952
#> Iteration: 50 bestvalit: 58.816573 bestmemit: -4.077673 -0.004874 -0.010442 -2.330652 0.301139 -0.113917 0.624176 0.337938 0.835435 0.580884 0.662088
#> Iteration: 75 bestvalit: 45.855580 bestmemit: -3.392815 0.003147 -0.040996 -2.458868 0.355254 -0.104188 0.300497 0.087242 0.993382 0.959220 0.431486
#> Iteration: 100 bestvalit: 28.675955 bestmemit: -7.232799 0.008842 0.002354 -2.449213 0.217143 -0.073681 0.093332 0.235161 0.935745 0.885885 0.759347
#> Iteration: 125 bestvalit: 28.675955 bestmemit: -7.232799 0.008842 0.002354 -2.449213 0.217143 -0.073681 0.093332 0.235161 0.935745 0.885885 0.759347
#> Iteration: 150 bestvalit: 27.892680 bestmemit: -6.566911 0.009433 0.002934 -2.461028 0.206389 -0.054308 0.084608 0.287956 0.957366 0.856092 0.867104
#> Iteration: 175 bestvalit: 26.932743 bestmemit: -7.691639 0.007406 0.002048 -2.446624 0.228798 -0.060284 0.106434 0.296442 0.984972 0.989753 0.996052
#> Iteration: 200 bestvalit: 26.864456 bestmemit: -7.799880 0.007454 0.002094 -2.449917 0.236854 -0.065322 0.112840 0.304295 0.986895 0.999514 0.996672
#> Iteration: 225 bestvalit: 26.853320 bestmemit: -7.972291 0.007373 0.001980 -2.448433 0.236540 -0.065369 0.110691 0.304480 0.986696 0.999875 0.999697
#> Iteration: 250 bestvalit: 26.851920 bestmemit: -7.803039 0.007420 0.002009 -2.448542 0.235961 -0.065497 0.111177 0.305202 0.986851 0.999990 0.999996
#> Iteration: 275 bestvalit: 26.851702 bestmemit: -8.711714 0.007459 0.002043 -2.448936 0.236142 -0.065815 0.110987 0.304781 0.986711 0.999998 1.000000
#> Iteration: 300 bestvalit: 26.851662 bestmemit: -9.079595 0.007457 0.002042 -2.448906 0.236137 -0.065829 0.110947 0.304605 0.986815 1.000000 0.999999
#> Iteration: 325 bestvalit: 26.851657 bestmemit: -8.582191 0.007458 0.002042 -2.448900 0.236088 -0.065800 0.110942 0.304962 0.986810 1.000000 1.000000
#> Iteration: 350 bestvalit: 26.851656 bestmemit: -9.271320 0.007458 0.002042 -2.448905 0.236104 -0.065800 0.110947 0.304898 0.986818 1.000000 1.000000
#> Iteration: 375 bestvalit: 26.851656 bestmemit: -9.423230 0.007457 0.002042 -2.448907 0.236113 -0.065802 0.110945 0.304909 0.986819 1.000000 1.000000
#> ... Finished Calibration.
#> Best solution: 26.8516560764465
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.8516560728719
#> - total population size: 110
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 68.184510 bestmemit: -4.376002 -0.034015 0.027342 -2.423959 -0.185279 -0.128095 0.455797 0.542947 0.277170 0.968404 0.370912
#> Iteration: 50 bestvalit: 44.406326 bestmemit: -6.346683 0.002555 0.004798 -2.433642 0.284424 -0.115939 0.592571 0.321678 0.026336 0.979744 0.346049
#> Iteration: 75 bestvalit: 30.097556 bestmemit: -8.732404 0.001286 0.007348 -2.460729 0.212958 -0.014243 0.313700 0.126850 0.924606 0.942789 0.404432
#> Iteration: 100 bestvalit: 27.021640 bestmemit: -9.035439 0.002439 0.007880 -2.449595 0.237230 -0.074193 0.291449 0.108812 0.993100 0.986078 0.084881
#> Iteration: 125 bestvalit: 26.860216 bestmemit: -9.074026 0.002072 0.007538 -2.449016 0.235462 -0.066973 0.301094 0.110327 0.999128 0.986546 0.000047
#> Iteration: 150 bestvalit: 26.852120 bestmemit: -8.744773 0.002074 0.007498 -2.449136 0.235370 -0.065566 0.306124 0.111051 0.999997 0.986705 0.000114
#> Iteration: 175 bestvalit: 26.851716 bestmemit: -7.959061 0.002038 0.007461 -2.448854 0.235980 -0.065830 0.305630 0.110952 1.000000 0.986811 0.000001
#> Iteration: 200 bestvalit: 26.851660 bestmemit: -8.065367 0.002042 0.007459 -2.448909 0.236064 -0.065783 0.304961 0.110941 1.000000 0.986816 0.000000
#> Iteration: 225 bestvalit: 26.851656 bestmemit: -8.128973 0.002043 0.007458 -2.448914 0.236113 -0.065795 0.304919 0.110940 1.000000 0.986819 0.000000
#> Iteration: 250 bestvalit: 26.851656 bestmemit: -8.172412 0.002042 0.007457 -2.448905 0.236111 -0.065800 0.304921 0.110945 1.000000 0.986817 0.000000
#> ... Finished Calibration.
#> Best solution: 26.8516560628465
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.2State.normal.boxcox.AR2.a0std
#> Reference model name for maximum acceptable calib. solution: model.2State.normal.boxcox.AR1.a0std
#> Reference model maximum acceptable calib. solution: 28.1110609876807
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 110
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 79.952860 bestmemit: -4.044199 0.019657 -0.055524 -2.793910 0.513954 -0.238879 0.332931 0.741569 0.852657 0.730573 0.235953
#> Iteration: 50 bestvalit: 35.675218 bestmemit: -4.672689 0.004267 -0.000814 -2.415234 0.214195 -0.058685 0.188755 0.455931 0.992249 0.982758 0.369098
#> Iteration: 75 bestvalit: 27.835677 bestmemit: -5.025920 0.009038 0.003707 -2.462759 0.225999 -0.062722 0.097537 0.276582 0.960779 0.881343 0.735124
#> Iteration: 100 bestvalit: 27.245510 bestmemit: -4.655198 0.007500 0.001799 -2.449983 0.225792 -0.051361 0.096536 0.307119 0.959637 0.915312 0.988764
#> Iteration: 125 bestvalit: 26.863930 bestmemit: -4.778355 0.007538 0.002178 -2.449867 0.236652 -0.066758 0.111334 0.307571 0.986733 0.999097 0.999710
#> Iteration: 150 bestvalit: 26.857259 bestmemit: -4.742158 0.007438 0.002030 -2.448956 0.236421 -0.065666 0.110819 0.305916 0.987034 0.999982 0.999937
#> Iteration: 175 bestvalit: 26.856799 bestmemit: -4.748911 0.007459 0.002050 -2.448747 0.235835 -0.065829 0.110889 0.305216 0.986895 0.999999 0.999997
#> Iteration: 200 bestvalit: 26.855957 bestmemit: -4.878720 0.007443 0.002038 -2.448906 0.236854 -0.066281 0.110944 0.305063 0.987174 1.000000 0.999999
#> Iteration: 225 bestvalit: 26.854140 bestmemit: -5.306387 0.007452 0.002048 -2.448394 0.235887 -0.066264 0.110382 0.304030 0.986981 0.999999 0.999967
#> Iteration: 250 bestvalit: 26.851928 bestmemit: -6.660460 0.007459 0.002039 -2.448881 0.236046 -0.065793 0.110953 0.304861 0.986820 0.999991 0.999834
#> Iteration: 275 bestvalit: 26.851906 bestmemit: -6.780724 0.007457 0.002042 -2.448899 0.236088 -0.065786 0.110971 0.304874 0.986811 0.999990 0.999838
#> Iteration: 300 bestvalit: 26.851780 bestmemit: -6.946504 0.007461 0.002043 -2.448928 0.236112 -0.065836 0.110897 0.304590 0.986788 0.999981 0.999996
#> Iteration: 325 bestvalit: 26.851747 bestmemit: -7.375034 0.007456 0.002041 -2.448877 0.236095 -0.065799 0.110954 0.304957 0.986824 0.999981 1.000000
#> Iteration: 350 bestvalit: 26.851740 bestmemit: -7.583957 0.007452 0.002039 -2.448852 0.236153 -0.065832 0.110953 0.305040 0.986828 0.999983 1.000000
#> Iteration: 375 bestvalit: 26.851704 bestmemit: -7.149418 0.007445 0.002031 -2.448825 0.236292 -0.065890 0.110976 0.304827 0.986812 0.999999 1.000000
#> Iteration: 400 bestvalit: 26.851660 bestmemit: -8.001274 0.007461 0.002045 -2.448924 0.236073 -0.065818 0.110957 0.304824 0.986808 1.000000 1.000000
#> Iteration: 425 bestvalit: 26.851656 bestmemit: -8.031202 0.007457 0.002042 -2.448900 0.236098 -0.065792 0.110942 0.304916 0.986815 1.000000 1.000000
#> Iteration: 450 bestvalit: 26.851656 bestmemit: -8.057220 0.007457 0.002042 -2.448904 0.236108 -0.065800 0.110946 0.304921 0.986817 1.000000 1.000000
#> ... Finished Calibration.
#> Best solution: 26.8516563657847
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.8516563657847
#> - total population size: 110
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 70.140105 bestmemit: -1.549867 0.012930 0.105116 -2.313932 -0.098463 -0.082709 0.507256 0.399578 0.998749 0.677987 0.925144
#> Iteration: 50 bestvalit: 53.898632 bestmemit: -3.410094 0.017132 -0.243219 -2.531387 0.296940 -0.265517 0.346800 0.433400 0.995852 0.299568 0.493185
#> Iteration: 75 bestvalit: 45.604473 bestmemit: -4.884121 0.008683 0.156183 -2.453782 0.232845 -0.106967 0.331709 0.651063 0.996969 0.306079 0.560827
#> Iteration: 100 bestvalit: 38.418358 bestmemit: -5.927890 0.004953 -0.000341 -2.430998 0.252607 -0.087473 0.235185 0.599578 0.996456 0.965344 0.808545
#> Iteration: 125 bestvalit: 28.405422 bestmemit: -5.598210 0.006169 0.001914 -2.439009 0.212830 -0.036585 0.117005 0.322481 0.989122 0.953211 0.858629
#> Iteration: 150 bestvalit: 27.020708 bestmemit: -5.487223 0.007840 0.002531 -2.453154 0.234157 -0.066489 0.107784 0.303701 0.984402 0.988047 0.933683
#> Iteration: 175 bestvalit: 26.868392 bestmemit: -5.292892 0.007571 0.002186 -2.451003 0.240413 -0.069299 0.111558 0.302113 0.986342 0.999131 0.996597
#> Iteration: 200 bestvalit: 26.853127 bestmemit: -5.954372 0.007475 0.002053 -2.449073 0.235562 -0.065362 0.110845 0.308067 0.986759 0.999950 0.999628
#> Iteration: 225 bestvalit: 26.851868 bestmemit: -6.335355 0.007453 0.002042 -2.448982 0.236299 -0.065752 0.111041 0.304789 0.986880 0.999999 0.999983
#> Iteration: 250 bestvalit: 26.851672 bestmemit: -8.138208 0.007457 0.002039 -2.448863 0.236141 -0.065882 0.110927 0.304851 0.986841 0.999999 0.999999
#> Iteration: 275 bestvalit: 26.851658 bestmemit: -8.361606 0.007458 0.002043 -2.448911 0.236091 -0.065775 0.110934 0.304989 0.986828 1.000000 1.000000
#> Iteration: 300 bestvalit: 26.851656 bestmemit: -8.297986 0.007458 0.002042 -2.448909 0.236105 -0.065796 0.110939 0.304896 0.986816 1.000000 1.000000
#> Iteration: 325 bestvalit: 26.851656 bestmemit: -8.288337 0.007458 0.002042 -2.448908 0.236112 -0.065801 0.110944 0.304921 0.986817 1.000000 1.000000
#> ... Finished Calibration.
#> Best solution: 26.8516560647419
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.8516560647419
#> - total population size: 110
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 68.111117 bestmemit: -7.601217 0.031230 0.047630 -2.515524 -0.161985 -0.137741 0.604605 0.589142 0.900331 0.223389 0.596672
#> Iteration: 50 bestvalit: 32.338067 bestmemit: -8.350096 0.005861 0.009789 -2.488379 0.279495 -0.101390 0.550373 0.127074 0.820196 0.940125 0.560985
#> Iteration: 75 bestvalit: 27.396858 bestmemit: -6.755182 0.002587 0.008245 -2.447458 0.210346 -0.054665 0.321004 0.092262 0.858852 0.957391 0.015862
#> Iteration: 100 bestvalit: 26.874897 bestmemit: -5.694682 0.002140 0.007522 -2.447806 0.233466 -0.065123 0.312179 0.110992 0.999657 0.986332 0.000627
#> Iteration: 125 bestvalit: 26.853058 bestmemit: -5.845888 0.002049 0.007463 -2.448734 0.235740 -0.065919 0.307653 0.111220 0.999969 0.987017 0.000139
#> Iteration: 150 bestvalit: 26.852184 bestmemit: -5.806140 0.002060 0.007479 -2.449043 0.236016 -0.065946 0.304972 0.110903 0.999997 0.986913 0.000000
#> Iteration: 175 bestvalit: 26.852102 bestmemit: -5.805037 0.002042 0.007456 -2.448900 0.236112 -0.065801 0.304927 0.110965 1.000000 0.986820 0.000000
#> Iteration: 200 bestvalit: 26.852088 bestmemit: -5.821907 0.002042 0.007456 -2.448900 0.236120 -0.065798 0.305105 0.110952 1.000000 0.986803 0.000001
#> Iteration: 225 bestvalit: 26.851923 bestmemit: -6.079876 0.002047 0.007460 -2.448915 0.235991 -0.065706 0.305049 0.110903 1.000000 0.986803 0.000021
#> Iteration: 250 bestvalit: 26.851786 bestmemit: -6.784877 0.002043 0.007457 -2.448894 0.236081 -0.065784 0.304865 0.110946 1.000000 0.986815 0.000082
#> Iteration: 275 bestvalit: 26.851777 bestmemit: -6.852453 0.002040 0.007456 -2.448889 0.236116 -0.065807 0.304950 0.110956 1.000000 0.986813 0.000079
#> Iteration: 300 bestvalit: 26.851667 bestmemit: -8.088526 0.002045 0.007461 -2.448923 0.236047 -0.065792 0.304809 0.110935 0.999998 0.986820 0.000000
#> Iteration: 325 bestvalit: 26.851664 bestmemit: -8.001681 0.002042 0.007458 -2.448908 0.236099 -0.065793 0.304917 0.110944 0.999998 0.986818 0.000000
#> Iteration: 350 bestvalit: 26.851663 bestmemit: -8.000584 0.002042 0.007458 -2.448907 0.236111 -0.065803 0.304913 0.110943 0.999998 0.986818 0.000000
#> ... Finished Calibration.
#> Best solution: 26.8516633876304
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.8516560647419
#> - total population size: 110
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 73.049812 bestmemit: -5.006296 -0.333698 0.031649 -2.747520 -0.215504 0.179343 0.628987 0.658985 0.698846 0.967628 0.531825
#> Iteration: 50 bestvalit: 52.585900 bestmemit: -7.592820 0.003839 0.003120 -2.466009 0.505986 -0.256678 0.659282 0.503995 0.675522 0.958442 0.892214
#> Iteration: 75 bestvalit: 44.493078 bestmemit: -2.316490 -0.002456 0.006157 -2.429897 0.280852 -0.100750 0.448478 0.242681 0.230246 0.918222 0.250561
#> Iteration: 100 bestvalit: 32.403040 bestmemit: -5.241771 0.000440 0.006129 -2.409253 0.193837 -0.065009 0.393214 0.120206 0.690006 0.973590 0.191015
#> Iteration: 125 bestvalit: 28.598647 bestmemit: -5.347173 0.001789 0.006658 -2.433352 0.218427 -0.055056 0.402194 0.114348 0.863823 0.963723 0.164517
#> Iteration: 150 bestvalit: 27.008573 bestmemit: -6.310462 0.001603 0.006990 -2.446582 0.248926 -0.074220 0.291782 0.115383 0.993930 0.985439 0.036448
#> Iteration: 175 bestvalit: 26.891488 bestmemit: -6.219243 0.002210 0.007503 -2.450008 0.240040 -0.069309 0.297497 0.109366 0.997089 0.987379 0.008272
#> Iteration: 200 bestvalit: 26.857495 bestmemit: -5.859013 0.002091 0.007510 -2.448868 0.234105 -0.064735 0.311861 0.110803 0.999688 0.986896 0.001277
#> Iteration: 225 bestvalit: 26.852634 bestmemit: -6.292306 0.002094 0.007498 -2.449142 0.235536 -0.065692 0.303931 0.111120 0.999967 0.986768 0.000313
#> Iteration: 250 bestvalit: 26.851763 bestmemit: -7.403077 0.002017 0.007430 -2.448647 0.235961 -0.065508 0.304995 0.110976 0.999999 0.986795 0.000002
#> Iteration: 275 bestvalit: 26.851674 bestmemit: -7.902279 0.002044 0.007459 -2.448929 0.236135 -0.065839 0.304996 0.110945 0.999999 0.986844 0.000006
#> Iteration: 300 bestvalit: 26.851659 bestmemit: -8.582685 0.002041 0.007456 -2.448897 0.236157 -0.065832 0.304898 0.110950 1.000000 0.986803 0.000000
#> Iteration: 325 bestvalit: 26.851657 bestmemit: -9.065418 0.002041 0.007456 -2.448898 0.236111 -0.065790 0.304925 0.110932 1.000000 0.986811 0.000000
#> Iteration: 350 bestvalit: 26.851656 bestmemit: -8.926808 0.002042 0.007458 -2.448907 0.236112 -0.065803 0.304930 0.110945 1.000000 0.986817 0.000000
#> ... Finished Calibration.
#> Best solution: 26.8516560711295
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.2State.gamma.boxcox.AR2.a0std
#> Reference model name for maximum acceptable calib. solution: model.2State.gamma.boxcox.AR1.a0std
#> Reference model maximum acceptable calib. solution: 27.8725531977678
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 110
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 94.662684 bestmemit: -6.639650 0.031880 0.469378 -3.496405 0.265076 -0.009298 0.529202 0.536711 0.990183 0.265967 0.467480
#> Iteration: 50 bestvalit: 46.855653 bestmemit: -4.093785 0.002142 -0.413755 -2.429749 0.291867 -0.065328 0.242623 0.716353 0.998787 0.355679 0.894998
#> Iteration: 75 bestvalit: 41.364128 bestmemit: -7.455411 0.012927 0.002820 -2.514929 0.266802 -0.144107 0.218828 0.085580 0.973781 0.404758 0.769679
#> Iteration: 100 bestvalit: 27.224488 bestmemit: -8.330693 0.008004 0.002622 -2.447492 0.198822 -0.039275 0.086217 0.342139 0.974728 0.933627 0.976819
#> Iteration: 125 bestvalit: 27.000551 bestmemit: -6.658214 0.007845 0.002156 -2.449025 0.215673 -0.049057 0.090462 0.305249 0.972084 0.920460 0.996329
#> Iteration: 150 bestvalit: 26.958699 bestmemit: -4.927225 0.007719 0.002047 -2.447575 0.211795 -0.045220 0.089877 0.305419 0.967311 0.914324 0.999773
#> Iteration: 175 bestvalit: 26.945658 bestmemit: -6.953207 0.007727 0.002060 -2.447944 0.214025 -0.046942 0.089591 0.302467 0.963837 0.911080 0.999980
#> Iteration: 200 bestvalit: 26.945562 bestmemit: -8.000752 0.007745 0.002074 -2.447981 0.213545 -0.046789 0.089468 0.302735 0.963793 0.910439 1.000000
#> Iteration: 225 bestvalit: 26.945557 bestmemit: -8.000465 0.007741 0.002070 -2.447953 0.213611 -0.046805 0.089466 0.302573 0.963791 0.910570 1.000000
#> Iteration: 250 bestvalit: 26.945555 bestmemit: -8.000847 0.007739 0.002068 -2.447934 0.213633 -0.046833 0.089447 0.302561 0.963809 0.910561 1.000000
#> Iteration: 275 bestvalit: 26.945554 bestmemit: -8.043100 0.007739 0.002068 -2.447938 0.213623 -0.046812 0.089461 0.302546 0.963843 0.910642 1.000000
#> ... Finished Calibration.
#> Best solution: 26.945553588731
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.945553588731
#> - total population size: 110
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 80.513776 bestmemit: -6.001940 -0.036855 0.031936 -2.629795 0.152508 -0.269537 0.329766 0.247158 0.766151 0.978415 0.775757
#> Iteration: 50 bestvalit: 61.680782 bestmemit: -7.306505 -0.005110 0.465755 -2.471950 0.627731 -0.170059 0.398013 0.282299 0.951030 0.618402 0.405552
#> Iteration: 75 bestvalit: 49.305657 bestmemit: -3.644667 0.012907 0.010005 -2.498599 0.202324 -0.060006 0.492826 0.400516 0.827421 0.927333 0.726636
#> Iteration: 100 bestvalit: 34.919924 bestmemit: -3.957304 0.004540 0.000295 -2.494179 0.403674 -0.105236 0.136114 0.388518 0.903425 0.713025 0.077727
#> Iteration: 125 bestvalit: 29.745092 bestmemit: -5.365466 0.008168 0.001793 -2.471573 0.219392 -0.020892 0.108880 0.340228 0.943134 0.946273 0.683615
#> Iteration: 150 bestvalit: 27.050231 bestmemit: -6.977093 0.007746 0.002294 -2.445245 0.207041 -0.045259 0.088710 0.312213 0.969444 0.913577 0.958707
#> Iteration: 175 bestvalit: 26.952146 bestmemit: -6.989968 0.007724 0.002108 -2.448274 0.214758 -0.046658 0.089914 0.306505 0.964734 0.910407 0.999575
#> Iteration: 200 bestvalit: 26.946360 bestmemit: -8.122087 0.007769 0.002087 -2.448334 0.213927 -0.047108 0.089545 0.302073 0.963635 0.910258 0.999409
#> Iteration: 225 bestvalit: 26.945658 bestmemit: -7.125389 0.007746 0.002079 -2.448060 0.213475 -0.046619 0.089490 0.303265 0.963887 0.911126 0.999998
#> Iteration: 250 bestvalit: 26.945559 bestmemit: -8.371649 0.007741 0.002070 -2.447965 0.213611 -0.046815 0.089488 0.302608 0.963817 0.910565 0.999999
#> Iteration: 275 bestvalit: 26.945554 bestmemit: -8.334469 0.007739 0.002068 -2.447937 0.213638 -0.046819 0.089461 0.302582 0.963846 0.910583 1.000000
#> Iteration: 300 bestvalit: 26.945554 bestmemit: -8.493072 0.007738 0.002068 -2.447937 0.213637 -0.046813 0.089463 0.302550 0.963848 0.910627 1.000000
#> ... Finished Calibration.
#> Best solution: 26.9455535711624
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.9455535711624
#> - total population size: 110
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 91.959464 bestmemit: -6.079584 0.049541 -0.425319 -3.022887 -0.233956 0.006642 0.468565 0.229532 0.942995 0.876407 0.399099
#> Iteration: 50 bestvalit: 64.982005 bestmemit: -7.949146 0.338242 0.018872 -2.654045 0.501002 -0.364607 0.257832 0.378965 0.489777 0.981612 0.554654
#> Iteration: 75 bestvalit: 50.257117 bestmemit: -6.612702 0.158932 -0.001970 -2.446276 0.407226 -0.086121 0.380599 0.301747 0.375198 0.980001 0.049145
#> Iteration: 100 bestvalit: 37.620576 bestmemit: -5.623649 0.010641 0.017499 -2.526434 0.123744 -0.043157 0.329649 0.084875 0.386687 0.870489 0.176424
#> Iteration: 125 bestvalit: 29.419410 bestmemit: -3.933662 -0.000108 0.006215 -2.437920 0.218038 -0.033859 0.275815 0.098307 0.693551 0.931390 0.513308
#> Iteration: 150 bestvalit: 27.026831 bestmemit: -5.735327 0.002012 0.007737 -2.447765 0.223378 -0.056929 0.297124 0.089766 0.914082 0.960023 0.021240
#> Iteration: 175 bestvalit: 26.958443 bestmemit: -5.706041 0.002125 0.007824 -2.448390 0.214914 -0.048678 0.306030 0.090045 0.904141 0.962408 0.003648
#> Iteration: 200 bestvalit: 26.947088 bestmemit: -5.788234 0.002081 0.007734 -2.447975 0.214258 -0.047188 0.303668 0.089713 0.908215 0.963471 0.000004
#> Iteration: 225 bestvalit: 26.945714 bestmemit: -6.792596 0.002079 0.007757 -2.448026 0.213744 -0.047136 0.302633 0.089411 0.910315 0.963810 0.000019
#> Iteration: 250 bestvalit: 26.945562 bestmemit: -8.360395 0.002064 0.007735 -2.447934 0.213673 -0.046796 0.302658 0.089505 0.910613 0.963878 0.000003
#> Iteration: 275 bestvalit: 26.945555 bestmemit: -9.073195 0.002068 0.007738 -2.447930 0.213615 -0.046808 0.302510 0.089464 0.910644 0.963856 0.000000
#> Iteration: 300 bestvalit: 26.945554 bestmemit: -9.115075 0.002068 0.007739 -2.447936 0.213626 -0.046812 0.302558 0.089459 0.910641 0.963847 0.000000
#> Iteration: 325 bestvalit: 26.945554 bestmemit: -9.023524 0.002068 0.007738 -2.447938 0.213638 -0.046817 0.302549 0.089463 0.910624 0.963845 0.000000
#> ... Finished Calibration.
#> Best solution: 26.945553579858
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.9455535711624
#> - total population size: 110
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 77.557661 bestmemit: -4.209060 0.267571 0.018685 -2.575678 -0.123400 0.208039 0.492802 0.321074 0.272460 0.875950 0.570063
#> Iteration: 50 bestvalit: 45.562222 bestmemit: -2.702470 -0.004235 0.002783 -2.455861 0.318031 -0.058670 0.329860 0.269438 0.155681 0.984912 0.523802
#> Iteration: 75 bestvalit: 33.732430 bestmemit: -4.795367 0.001230 0.008850 -2.476432 0.207312 -0.027728 0.130193 0.107295 0.431484 0.913891 0.557450
#> Iteration: 100 bestvalit: 27.809413 bestmemit: -7.897222 0.001645 0.007679 -2.445177 0.242683 -0.079205 0.228991 0.094587 0.876107 0.952288 0.019719
#> Iteration: 125 bestvalit: 26.971081 bestmemit: -8.248138 0.002288 0.007948 -2.449727 0.213582 -0.049157 0.300513 0.091781 0.905500 0.961941 0.000234
#> Iteration: 150 bestvalit: 26.946199 bestmemit: -6.192790 0.002112 0.007788 -2.448104 0.212481 -0.046438 0.303200 0.089450 0.911054 0.964126 0.000037
#> Iteration: 175 bestvalit: 26.945682 bestmemit: -6.643266 0.002075 0.007746 -2.448081 0.213853 -0.046984 0.302115 0.089522 0.911066 0.963914 0.000014
#> Iteration: 200 bestvalit: 26.945559 bestmemit: -8.009177 0.002068 0.007740 -2.447970 0.213686 -0.046846 0.302434 0.089491 0.910625 0.963876 0.000001
#> Iteration: 225 bestvalit: 26.945554 bestmemit: -8.217386 0.002068 0.007739 -2.447940 0.213638 -0.046816 0.302536 0.089460 0.910631 0.963846 0.000000
#> Iteration: 250 bestvalit: 26.945554 bestmemit: -8.227203 0.002068 0.007739 -2.447939 0.213637 -0.046818 0.302550 0.089462 0.910631 0.963846 0.000000
#> ... Finished Calibration.
#> Best solution: 26.9455535690498
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.2State.truc.normal.boxcox.AR3.a0std
#> Reference model name for maximum acceptable calib. solution: model.2State.truc.normal.boxcox.AR2.a0std
#> Reference model maximum acceptable calib. solution: 26.8516560628465
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 120
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 82.424324 bestmemit: -5.804090 0.045907 0.069958 -4.987332 -0.150722 -0.017377 -0.249253 0.270521 0.704895 0.473728 0.940555 0.503185
#> Iteration: 50 bestvalit: 47.768267 bestmemit: -8.679255 0.018469 0.025594 -2.525863 0.233117 -0.087146 -0.204134 0.258980 0.095444 0.587009 0.688422 0.997879
#> Iteration: 75 bestvalit: 33.871309 bestmemit: -3.679085 0.004677 0.009581 -2.460146 0.237955 -0.023868 -0.059727 0.235305 0.069281 0.710077 0.704064 0.831732
#> Iteration: 100 bestvalit: 28.517125 bestmemit: -3.523160 0.003492 0.008229 -2.451596 0.194550 -0.011782 -0.020857 0.372393 0.088525 0.793066 0.946192 0.209830
#> Iteration: 125 bestvalit: 26.963927 bestmemit: -7.057510 0.003104 0.008669 -2.453429 0.211488 -0.032869 -0.022747 0.326448 0.098243 0.938694 0.970563 0.002644
#> Iteration: 150 bestvalit: 26.765103 bestmemit: -5.027431 0.002080 0.007471 -2.449011 0.237622 -0.053078 -0.014798 0.303752 0.111851 0.999968 0.986418 0.002167
#> Iteration: 175 bestvalit: 26.754728 bestmemit: -5.732215 0.002206 0.007638 -2.448569 0.233100 -0.051020 -0.016348 0.301768 0.110508 0.999987 0.986856 0.000015
#> Iteration: 200 bestvalit: 26.753730 bestmemit: -6.254796 0.002150 0.007586 -2.448158 0.233372 -0.051246 -0.016090 0.303529 0.110590 0.999978 0.986817 0.000010
#> Iteration: 225 bestvalit: 26.753512 bestmemit: -6.970850 0.002140 0.007580 -2.448149 0.233338 -0.051196 -0.015988 0.303743 0.110643 1.000000 0.986803 0.000012
#> Iteration: 250 bestvalit: 26.753452 bestmemit: -8.204834 0.002144 0.007586 -2.448149 0.233280 -0.051111 -0.016142 0.303526 0.110705 1.000000 0.986821 0.000000
#> Iteration: 275 bestvalit: 26.753447 bestmemit: -8.082392 0.002142 0.007582 -2.448144 0.233295 -0.051045 -0.016159 0.303475 0.110737 1.000000 0.986826 0.000000
#> Iteration: 300 bestvalit: 26.753446 bestmemit: -8.034327 0.002141 0.007581 -2.448137 0.233304 -0.051056 -0.016148 0.303456 0.110736 1.000000 0.986822 0.000000
#> ... Finished Calibration.
#> Best solution: 26.7534464746424
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.7534464746424
#> - total population size: 120
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 81.741587 bestmemit: -7.848757 0.012322 0.136804 -2.694188 -0.026980 0.504076 -0.152141 0.465261 0.587642 0.953450 0.480664 0.299219
#> Iteration: 50 bestvalit: 44.489261 bestmemit: -5.490192 0.004517 -0.018298 -2.449334 0.277215 -0.061503 -0.017318 0.295253 0.356128 0.997118 0.745294 0.517943
#> Iteration: 75 bestvalit: 27.698958 bestmemit: -6.099387 0.008389 0.002322 -2.448969 0.208023 -0.043404 -0.012669 0.094134 0.447516 0.966390 0.913007 0.928475
#> Iteration: 100 bestvalit: 26.890961 bestmemit: -6.918435 0.008259 0.002557 -2.448435 0.211470 -0.033417 -0.021733 0.094078 0.304923 0.968627 0.922277 0.992654
#> Iteration: 125 bestvalit: 26.874953 bestmemit: -6.877584 0.008205 0.002564 -2.448291 0.210803 -0.032139 -0.022331 0.093592 0.305690 0.969062 0.926063 0.999999
#> Iteration: 150 bestvalit: 26.874801 bestmemit: -6.852571 0.008218 0.002566 -2.448345 0.210246 -0.031698 -0.022307 0.093166 0.306231 0.968708 0.925042 0.999998
#> Iteration: 175 bestvalit: 26.874793 bestmemit: -6.859223 0.008218 0.002564 -2.448368 0.210357 -0.031751 -0.022316 0.093147 0.306072 0.968673 0.924990 1.000000
#> Iteration: 200 bestvalit: 26.874790 bestmemit: -6.923918 0.008218 0.002564 -2.448369 0.210342 -0.031681 -0.022382 0.093136 0.306105 0.968622 0.924940 1.000000
#> Iteration: 225 bestvalit: 26.874774 bestmemit: -7.325697 0.008219 0.002565 -2.448382 0.210408 -0.031785 -0.022342 0.093138 0.305989 0.968620 0.925017 0.999998
#> Iteration: 250 bestvalit: 26.874761 bestmemit: -8.010071 0.008219 0.002566 -2.448389 0.210364 -0.031740 -0.022329 0.093161 0.306071 0.968655 0.924965 0.999993
#> Iteration: 275 bestvalit: 26.874760 bestmemit: -8.000136 0.008218 0.002564 -2.448371 0.210339 -0.031733 -0.022325 0.093152 0.306092 0.968656 0.924970 0.999993
#> Iteration: 300 bestvalit: 26.874760 bestmemit: -8.000030 0.008218 0.002564 -2.448370 0.210337 -0.031732 -0.022325 0.093150 0.306077 0.968653 0.924966 0.999993
#> ... Finished Calibration.
#> Best solution: 26.8747599755234
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.7534464746424
#> - total population size: 120
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 73.044396 bestmemit: -4.866723 0.040163 0.020109 -2.571219 -0.144507 0.216459 -0.029495 0.492771 0.437183 0.344045 0.858763 0.768442
#> Iteration: 50 bestvalit: 47.135152 bestmemit: -4.824088 -0.000016 0.007563 -2.418620 0.024045 0.083674 -0.012033 0.599043 0.200227 0.303651 0.832812 0.706348
#> Iteration: 75 bestvalit: 31.226987 bestmemit: -2.910564 0.001070 0.008274 -2.451700 0.213084 -0.012539 -0.040853 0.169755 0.085863 0.427010 0.920969 0.033143
#> Iteration: 100 bestvalit: 27.567847 bestmemit: -4.533184 0.002030 0.007905 -2.449340 0.227615 -0.026765 -0.040421 0.247203 0.094608 0.871694 0.964227 0.033326
#> Iteration: 125 bestvalit: 26.782864 bestmemit: -4.771376 0.001999 0.007477 -2.447619 0.231486 -0.048509 -0.015982 0.310433 0.109164 0.999722 0.986771 0.011631
#> Iteration: 150 bestvalit: 26.755124 bestmemit: -5.550967 0.002127 0.007579 -2.448164 0.233583 -0.051560 -0.015710 0.306612 0.110723 0.999971 0.986794 0.000074
#> Iteration: 175 bestvalit: 26.753911 bestmemit: -6.126588 0.002167 0.007601 -2.448291 0.233352 -0.051479 -0.015906 0.303741 0.110527 0.999977 0.986910 0.000010
#> Iteration: 200 bestvalit: 26.753623 bestmemit: -6.975832 0.002140 0.007570 -2.448188 0.233633 -0.051302 -0.015894 0.303418 0.110622 1.000000 0.986934 0.000002
#> Iteration: 225 bestvalit: 26.753457 bestmemit: -8.016401 0.002144 0.007584 -2.448142 0.233262 -0.051083 -0.016127 0.303371 0.110715 1.000000 0.986832 0.000008
#> Iteration: 250 bestvalit: 26.753447 bestmemit: -8.054383 0.002143 0.007583 -2.448143 0.233278 -0.051048 -0.016154 0.303436 0.110730 1.000000 0.986823 0.000000
#> Iteration: 275 bestvalit: 26.753446 bestmemit: -8.046046 0.002142 0.007582 -2.448140 0.233303 -0.051063 -0.016144 0.303474 0.110732 1.000000 0.986823 0.000000
#> ... Finished Calibration.
#> Best solution: 26.7534464509194
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.7534464509194
#> - total population size: 120
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 94.232311 bestmemit: -4.911974 0.048343 0.218166 -3.844192 -0.065109 0.148766 -0.101951 0.622159 0.338019 0.944956 0.102639 0.893280
#> Iteration: 50 bestvalit: 66.393053 bestmemit: -9.602844 0.016975 0.122913 -2.492742 0.261391 -0.162425 -0.051378 0.445483 0.541502 0.855912 0.499809 0.635333
#> Iteration: 75 bestvalit: 46.759031 bestmemit: -8.157448 0.014734 0.002963 -2.455874 0.112157 0.001019 -0.105676 0.356518 0.523928 0.967243 0.592933 0.846440
#> Iteration: 100 bestvalit: 37.930118 bestmemit: -8.618003 0.009390 0.006224 -2.472060 0.195650 0.001477 -0.053542 0.211537 0.304193 0.940822 0.722146 0.934513
#> Iteration: 125 bestvalit: 31.045477 bestmemit: -8.970022 0.006518 0.000456 -2.433485 0.232510 -0.015352 -0.050973 0.113496 0.481192 0.883317 0.870788 0.912940
#> Iteration: 150 bestvalit: 27.880396 bestmemit: -6.693820 0.007735 0.001808 -2.433740 0.192527 -0.030281 -0.022687 0.087628 0.397068 0.961360 0.927073 0.780021
#> Iteration: 175 bestvalit: 26.967579 bestmemit: -5.578893 0.008554 0.002899 -2.448473 0.208870 -0.034491 -0.024795 0.090124 0.326895 0.971293 0.908452 0.995603
#> Iteration: 200 bestvalit: 26.883556 bestmemit: -5.238271 0.008114 0.002407 -2.448307 0.214300 -0.032888 -0.022845 0.092924 0.302036 0.968556 0.926107 0.999718
#> Iteration: 225 bestvalit: 26.876814 bestmemit: -5.454711 0.008257 0.002590 -2.448304 0.208635 -0.030335 -0.022699 0.091922 0.305807 0.967801 0.921297 0.999959
#> Iteration: 250 bestvalit: 26.875115 bestmemit: -6.306297 0.008205 0.002555 -2.448343 0.210814 -0.031979 -0.022368 0.093172 0.305313 0.968570 0.924317 0.999895
#> Iteration: 275 bestvalit: 26.874813 bestmemit: -7.145379 0.008219 0.002572 -2.448425 0.210446 -0.031684 -0.022414 0.093179 0.306233 0.968676 0.924797 0.999996
#> Iteration: 300 bestvalit: 26.874761 bestmemit: -8.069592 0.008216 0.002563 -2.448375 0.210328 -0.031710 -0.022299 0.093127 0.306272 0.968651 0.924847 0.999998
#> Iteration: 325 bestvalit: 26.874754 bestmemit: -8.065300 0.008219 0.002565 -2.448372 0.210328 -0.031725 -0.022331 0.093141 0.306052 0.968658 0.924992 1.000000
#> Iteration: 350 bestvalit: 26.874754 bestmemit: -8.120205 0.008218 0.002564 -2.448373 0.210341 -0.031726 -0.022327 0.093149 0.306059 0.968657 0.924956 1.000000
#> ... Finished Calibration.
#> Best solution: 26.874753817682
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.2State.normal.boxcox.AR3.a0std
#> Reference model name for maximum acceptable calib. solution: model.2State.normal.boxcox.AR2.a0std
#> Reference model maximum acceptable calib. solution: 26.8516560647419
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 120
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 67.320814 bestmemit: -7.466392 0.023094 0.109704 -2.536396 0.140863 -0.028304 -0.178176 0.654514 0.062393 0.889585 0.797075 0.892486
#> Iteration: 50 bestvalit: 47.312008 bestmemit: -7.367802 0.010477 0.008475 -2.505467 0.211815 -0.021814 -0.038248 0.374283 0.339035 0.927596 0.422609 0.605012
#> Iteration: 75 bestvalit: 35.160207 bestmemit: -4.747650 0.013189 0.006674 -2.452036 0.141350 -0.040788 -0.062844 0.186498 0.322910 0.977063 0.927382 0.530740
#> Iteration: 100 bestvalit: 30.755399 bestmemit: -4.763075 0.008241 0.001918 -2.454061 0.223370 -0.008616 -0.059791 0.149013 0.361013 0.976447 0.925568 0.283217
#> Iteration: 125 bestvalit: 27.504819 bestmemit: -5.118404 0.007958 0.002158 -2.438546 0.196697 -0.029358 -0.022940 0.089273 0.333171 0.964013 0.905895 0.634854
#> Iteration: 150 bestvalit: 26.881997 bestmemit: -5.280978 0.007323 0.001859 -2.444834 0.224916 -0.040796 -0.016982 0.111248 0.321744 0.987356 0.994162 0.951034
#> Iteration: 175 bestvalit: 26.766735 bestmemit: -5.191715 0.007619 0.002203 -2.448549 0.233901 -0.052153 -0.015714 0.108796 0.305851 0.986842 0.999440 0.995265
#> Iteration: 200 bestvalit: 26.755371 bestmemit: -6.007325 0.007600 0.002160 -2.448773 0.234183 -0.051282 -0.016084 0.110769 0.304703 0.986907 0.999773 0.999865
#> Iteration: 225 bestvalit: 26.753703 bestmemit: -6.974141 0.007605 0.002168 -2.448302 0.233122 -0.050990 -0.016277 0.110624 0.304520 0.986910 0.999996 0.999927
#> Iteration: 250 bestvalit: 26.753497 bestmemit: -7.106493 0.007588 0.002147 -2.448241 0.233405 -0.051118 -0.016180 0.110717 0.303251 0.986845 0.999999 0.999999
#> Iteration: 275 bestvalit: 26.753451 bestmemit: -8.041980 0.007582 0.002142 -2.448121 0.233256 -0.051002 -0.016181 0.110724 0.303338 0.986812 1.000000 0.999999
#> Iteration: 300 bestvalit: 26.753447 bestmemit: -8.075534 0.007582 0.002142 -2.448151 0.233326 -0.051064 -0.016162 0.110737 0.303433 0.986817 1.000000 1.000000
#> Iteration: 325 bestvalit: 26.753447 bestmemit: -8.098985 0.007581 0.002141 -2.448134 0.233300 -0.051054 -0.016150 0.110729 0.303445 0.986823 1.000000 1.000000
#> ... Finished Calibration.
#> Best solution: 26.7534464869762
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.7534464869762
#> - total population size: 120
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 67.608559 bestmemit: -3.770974 -0.134240 -0.002200 -2.418778 0.285460 0.183198 -0.154679 0.394615 0.650377 0.342078 0.881308 0.185066
#> Iteration: 50 bestvalit: 38.271041 bestmemit: -4.223676 0.002457 0.010509 -2.440780 0.148494 0.018822 -0.076331 0.434531 0.174306 0.341917 0.879593 0.201155
#> Iteration: 75 bestvalit: 29.077115 bestmemit: -8.100914 0.002628 0.009100 -2.453879 0.225672 -0.049776 -0.027450 0.243000 0.083395 0.761333 0.932335 0.678008
#> Iteration: 100 bestvalit: 27.147459 bestmemit: -6.863645 0.002234 0.007758 -2.448912 0.230166 -0.041910 -0.025521 0.339958 0.105337 0.993926 0.984448 0.216543
#> Iteration: 125 bestvalit: 26.858083 bestmemit: -6.284809 0.001910 0.007255 -2.445842 0.233189 -0.052356 -0.013095 0.332937 0.116084 0.998587 0.986076 0.004558
#> Iteration: 150 bestvalit: 26.756351 bestmemit: -6.954082 0.002067 0.007555 -2.447890 0.232594 -0.049460 -0.016779 0.304008 0.110632 0.999897 0.987123 0.000508
#> Iteration: 175 bestvalit: 26.753891 bestmemit: -6.955124 0.002176 0.007620 -2.448326 0.232483 -0.050424 -0.016381 0.303833 0.110939 0.999996 0.986868 0.000053
#> Iteration: 200 bestvalit: 26.753488 bestmemit: -6.960763 0.002145 0.007584 -2.448213 0.233374 -0.051034 -0.016166 0.303491 0.110711 1.000000 0.986821 0.000001
#> Iteration: 225 bestvalit: 26.753479 bestmemit: -6.956516 0.002141 0.007581 -2.448143 0.233353 -0.051081 -0.016153 0.303480 0.110730 1.000000 0.986824 0.000000
#> Iteration: 250 bestvalit: 26.753478 bestmemit: -6.955954 0.002141 0.007581 -2.448142 0.233316 -0.051061 -0.016144 0.303449 0.110728 1.000000 0.986823 0.000000
#> ... Finished Calibration.
#> Best solution: 26.753477755306
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.7534464869762
#> - total population size: 120
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 63.968294 bestmemit: -7.747196 -0.330903 0.009276 -2.572742 0.598510 -0.223781 -0.091220 0.642017 0.582385 0.794504 0.937942 0.188637
#> Iteration: 50 bestvalit: 36.448711 bestmemit: -4.427658 -0.000233 0.006710 -2.459410 0.266508 -0.117817 0.070642 0.178046 0.094208 0.608955 0.845464 0.260545
#> Iteration: 75 bestvalit: 29.430343 bestmemit: -4.682685 0.000430 0.006956 -2.439278 0.228648 -0.028260 -0.033775 0.183081 0.088599 0.711899 0.869116 0.012239
#> Iteration: 100 bestvalit: 27.394559 bestmemit: -8.857813 0.002801 0.008979 -2.450038 0.185390 -0.007142 -0.034979 0.352557 0.089997 0.853620 0.950299 0.036508
#> Iteration: 125 bestvalit: 26.895335 bestmemit: -8.436823 0.002713 0.008311 -2.450236 0.211995 -0.030112 -0.025705 0.305603 0.095150 0.926371 0.971130 0.000333
#> Iteration: 150 bestvalit: 26.875152 bestmemit: -6.657452 0.002577 0.008222 -2.448255 0.209807 -0.031529 -0.022312 0.305979 0.093036 0.925107 0.968951 0.000125
#> Iteration: 175 bestvalit: 26.874798 bestmemit: -7.384663 0.002568 0.008220 -2.448307 0.210060 -0.031619 -0.022310 0.306105 0.093174 0.924848 0.968707 0.000002
#> Iteration: 200 bestvalit: 26.874762 bestmemit: -7.679839 0.002566 0.008220 -2.448382 0.210322 -0.031770 -0.022308 0.306063 0.093171 0.925031 0.968687 0.000000
#> Iteration: 225 bestvalit: 26.874756 bestmemit: -8.009671 0.002569 0.008223 -2.448395 0.210297 -0.031767 -0.022300 0.306095 0.093150 0.924986 0.968658 0.000000
#> Iteration: 250 bestvalit: 26.874754 bestmemit: -8.065132 0.002565 0.008218 -2.448370 0.210333 -0.031742 -0.022314 0.306080 0.093150 0.924977 0.968666 0.000000
#> Iteration: 275 bestvalit: 26.874754 bestmemit: -8.042820 0.002565 0.008218 -2.448369 0.210329 -0.031730 -0.022324 0.306081 0.093150 0.924964 0.968656 0.000000
#> ... Finished Calibration.
#> Best solution: 26.8747540668982
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.7534464869762
#> - total population size: 120
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 60.353858 bestmemit: -3.472990 -0.000871 -0.419058 -2.488006 0.300091 0.218669 -0.146096 0.564193 0.596761 0.968299 0.622857 0.386051
#> Iteration: 50 bestvalit: 34.545211 bestmemit: -3.941691 0.015749 0.011405 -2.489454 0.139595 -0.059584 -0.022789 0.147468 0.447070 0.975754 0.797041 0.869698
#> Iteration: 75 bestvalit: 27.042597 bestmemit: -5.500070 0.007975 0.002240 -2.448728 0.220330 -0.041884 -0.019456 0.111156 0.298251 0.987957 0.991943 0.835490
#> Iteration: 100 bestvalit: 26.763459 bestmemit: -6.487729 0.007411 0.002014 -2.447768 0.236585 -0.050998 -0.016571 0.111308 0.310489 0.986295 0.999951 0.998382
#> Iteration: 125 bestvalit: 26.754226 bestmemit: -6.534802 0.007563 0.002130 -2.448283 0.233479 -0.050889 -0.016021 0.110312 0.302814 0.986782 0.999996 0.999885
#> Iteration: 150 bestvalit: 26.753552 bestmemit: -6.515044 0.007581 0.002142 -2.448146 0.233362 -0.051129 -0.016133 0.110762 0.303107 0.986840 1.000000 0.999997
#> Iteration: 175 bestvalit: 26.753532 bestmemit: -6.523529 0.007582 0.002142 -2.448149 0.233274 -0.051033 -0.016141 0.110718 0.303472 0.986828 1.000000 1.000000
#> Iteration: 200 bestvalit: 26.753531 bestmemit: -6.525830 0.007583 0.002142 -2.448142 0.233288 -0.051062 -0.016146 0.110721 0.303496 0.986820 1.000000 1.000000
#> Iteration: 225 bestvalit: 26.753529 bestmemit: -6.536341 0.007581 0.002141 -2.448125 0.233288 -0.051052 -0.016144 0.110731 0.303502 0.986818 1.000000 1.000000
#> ... Finished Calibration.
#> Best solution: 26.7535291521034
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.2State.gamma.boxcox.AR3.a0std
#> Reference model name for maximum acceptable calib. solution: model.2State.gamma.boxcox.AR2.a0std
#> Reference model maximum acceptable calib. solution: 26.9455535690498
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 120
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 95.580241 bestmemit: -7.713447 0.032892 0.165937 -2.994357 0.153839 -0.137957 0.011771 0.606539 0.552356 0.899448 0.862835 0.133878
#> Iteration: 50 bestvalit: 83.527759 bestmemit: -8.062796 0.008337 -0.205754 -2.947839 0.589462 0.130550 -0.121368 0.679652 0.613902 0.962378 0.591275 0.274674
#> Iteration: 75 bestvalit: 67.187153 bestmemit: -5.168285 0.012400 0.015149 -2.524690 0.196436 0.129895 -0.252989 0.050709 0.719046 0.766275 0.875940 0.366039
#> Iteration: 100 bestvalit: 61.380646 bestmemit: -4.204259 0.009409 -0.077579 -2.563095 0.097875 0.165688 -0.017935 0.527194 0.560202 0.986046 0.503427 0.662864
#> Iteration: 125 bestvalit: 46.333209 bestmemit: -5.693509 0.002642 -0.005603 -2.478658 0.338091 -0.043300 0.002626 0.307050 0.681785 0.963231 0.406085 0.659246
#> Iteration: 150 bestvalit: 43.093910 bestmemit: -5.287877 0.012230 0.006125 -2.512522 0.278951 -0.016349 -0.110090 0.228253 0.719986 0.952468 0.435421 0.644270
#> Iteration: 175 bestvalit: 30.741015 bestmemit: -6.493561 0.004606 -0.000100 -2.448830 0.320028 -0.060112 -0.025968 0.090879 0.345941 0.984930 0.992292 0.826049
#> Iteration: 200 bestvalit: 27.173020 bestmemit: -7.429856 0.008029 0.002725 -2.438392 0.195579 -0.038739 -0.011464 0.088606 0.327537 0.959309 0.888109 0.943699
#> Iteration: 225 bestvalit: 26.768027 bestmemit: -8.544199 0.007992 0.002345 -2.444996 0.204176 -0.021110 -0.026774 0.085718 0.314526 0.960212 0.895158 0.983198
#> Iteration: 250 bestvalit: 26.726572 bestmemit: -6.120702 0.008096 0.002250 -2.447436 0.208852 -0.030231 -0.019889 0.087753 0.299828 0.962650 0.900008 0.999581
#> Iteration: 275 bestvalit: 26.713776 bestmemit: -6.275177 0.008056 0.002302 -2.447798 0.209035 -0.026776 -0.022722 0.087862 0.302567 0.963208 0.906398 0.999713
#> Iteration: 300 bestvalit: 26.712865 bestmemit: -7.282930 0.008009 0.002273 -2.447717 0.209204 -0.026292 -0.022553 0.088136 0.301626 0.962565 0.904466 0.999960
#> Iteration: 325 bestvalit: 26.712659 bestmemit: -7.613643 0.007996 0.002252 -2.447508 0.209432 -0.026421 -0.022697 0.087890 0.301602 0.962598 0.904922 0.999987
#> Iteration: 350 bestvalit: 26.712626 bestmemit: -8.185288 0.007996 0.002252 -2.447543 0.209394 -0.026310 -0.022726 0.087879 0.301237 0.962592 0.904783 0.999995
#> Iteration: 375 bestvalit: 26.712620 bestmemit: -8.970728 0.007998 0.002254 -2.447563 0.209340 -0.026297 -0.022697 0.087876 0.301304 0.962617 0.904756 1.000000
#> Iteration: 400 bestvalit: 26.712619 bestmemit: -8.770421 0.007998 0.002253 -2.447569 0.209366 -0.026291 -0.022716 0.087884 0.301275 0.962611 0.904785 1.000000
#> Iteration: 425 bestvalit: 26.712619 bestmemit: -8.134229 0.007998 0.002253 -2.447570 0.209370 -0.026290 -0.022721 0.087887 0.301294 0.962606 0.904779 1.000000
#> ... Finished Calibration.
#> Best solution: 26.7126190954289
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.7126190954289
#> - total population size: 120
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 84.031918 bestmemit: -6.009659 0.014265 -0.109294 -2.910410 0.826167 -0.819986 0.448289 0.654737 0.648267 0.879208 0.203110 0.869588
#> Iteration: 50 bestvalit: 44.679803 bestmemit: -6.911405 0.013152 0.005286 -2.554792 0.305683 -0.217378 0.128733 0.230778 0.428660 0.972789 0.669005 0.795811
#> Iteration: 75 bestvalit: 27.354764 bestmemit: -6.911995 0.008138 0.002575 -2.450958 0.214694 -0.016781 -0.034805 0.083948 0.399981 0.965015 0.924119 0.851499
#> Iteration: 100 bestvalit: 26.752130 bestmemit: -6.965206 0.008089 0.002313 -2.447472 0.200607 -0.021056 -0.020611 0.087599 0.311368 0.961436 0.895056 0.996638
#> Iteration: 125 bestvalit: 26.715197 bestmemit: -6.943509 0.007970 0.002241 -2.447166 0.208923 -0.025906 -0.022609 0.087245 0.304567 0.961141 0.902786 0.999940
#> Iteration: 150 bestvalit: 26.712704 bestmemit: -6.967431 0.008008 0.002260 -2.447572 0.209269 -0.026149 -0.022950 0.087928 0.301453 0.962670 0.904781 0.999982
#> Iteration: 175 bestvalit: 26.712650 bestmemit: -6.968430 0.007999 0.002254 -2.447584 0.209368 -0.026282 -0.022717 0.087888 0.301304 0.962602 0.904774 1.000000
#> Iteration: 200 bestvalit: 26.712649 bestmemit: -6.968046 0.007998 0.002253 -2.447571 0.209376 -0.026282 -0.022727 0.087883 0.301293 0.962605 0.904781 1.000000
#> Iteration: 225 bestvalit: 26.712649 bestmemit: -6.967888 0.007998 0.002254 -2.447572 0.209370 -0.026289 -0.022722 0.087887 0.301298 0.962605 0.904778 1.000000
#> ... Finished Calibration.
#> Best solution: 26.712649244645
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.7126190954289
#> - total population size: 120
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 87.421182 bestmemit: -7.976521 0.030137 -0.106034 -3.036889 0.024633 -0.280445 0.420013 0.619552 0.076837 0.991157 0.962629 0.545082
#> Iteration: 50 bestvalit: 54.431836 bestmemit: -8.598145 0.008107 -0.315977 -2.486586 0.135622 0.030641 0.031564 0.367338 0.173870 0.970941 0.710333 0.295865
#> Iteration: 75 bestvalit: 32.443678 bestmemit: -9.727980 0.006350 0.000311 -2.432098 0.167075 0.050012 -0.057320 0.114149 0.260718 0.955733 0.629350 0.474129
#> Iteration: 100 bestvalit: 27.164878 bestmemit: -6.622537 0.007392 0.001899 -2.444376 0.216702 -0.031590 -0.017376 0.089791 0.314261 0.964886 0.924690 0.651938
#> Iteration: 125 bestvalit: 26.779916 bestmemit: -7.846387 0.008008 0.002460 -2.446865 0.201406 -0.022410 -0.020083 0.085299 0.318850 0.960368 0.904176 0.985207
#> Iteration: 150 bestvalit: 26.714248 bestmemit: -6.115388 0.008037 0.002313 -2.447638 0.208472 -0.026024 -0.022710 0.087849 0.300298 0.962028 0.905872 0.999738
#> Iteration: 175 bestvalit: 26.712668 bestmemit: -7.488487 0.007997 0.002253 -2.447555 0.209368 -0.026411 -0.022596 0.087920 0.301459 0.962436 0.904958 1.000000
#> Iteration: 200 bestvalit: 26.712629 bestmemit: -7.533748 0.007997 0.002252 -2.447568 0.209403 -0.026285 -0.022717 0.087891 0.301292 0.962583 0.904760 1.000000
#> Iteration: 225 bestvalit: 26.712627 bestmemit: -7.588674 0.007998 0.002252 -2.447570 0.209382 -0.026295 -0.022713 0.087903 0.301294 0.962600 0.904741 1.000000
#> Iteration: 250 bestvalit: 26.712627 bestmemit: -7.587239 0.007998 0.002252 -2.447573 0.209381 -0.026282 -0.022726 0.087900 0.301272 0.962598 0.904731 1.000000
#> ... Finished Calibration.
#> Best solution: 26.7126271008113
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.7126190954289
#> - total population size: 120
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 62.947438 bestmemit: -5.307027 0.018066 0.005507 -2.656016 0.420612 -0.349189 0.109960 0.600620 0.300558 0.932678 0.566277 0.327897
#> Iteration: 50 bestvalit: 39.538759 bestmemit: -4.489420 0.004120 -0.001915 -2.428811 0.246734 0.095452 -0.137783 0.200173 0.344929 0.981708 0.634478 0.768413
#> Iteration: 75 bestvalit: 29.959788 bestmemit: -2.567012 0.008069 0.001398 -2.438526 0.201631 -0.000127 -0.048437 0.097788 0.215530 0.948539 0.642546 0.976754
#> Iteration: 100 bestvalit: 27.670221 bestmemit: -4.962790 0.007212 0.001527 -2.443161 0.215198 -0.035194 -0.012253 0.085373 0.322826 0.947400 0.766807 0.981385
#> Iteration: 125 bestvalit: 26.731478 bestmemit: -6.107774 0.007797 0.002088 -2.446669 0.209125 -0.020633 -0.025275 0.088499 0.301629 0.964504 0.904159 0.997190
#> Iteration: 150 bestvalit: 26.713172 bestmemit: -6.051564 0.008004 0.002269 -2.447780 0.209519 -0.026382 -0.022608 0.087837 0.301631 0.962694 0.904737 0.999794
#> Iteration: 175 bestvalit: 26.712900 bestmemit: -6.016752 0.007994 0.002251 -2.447546 0.209430 -0.026251 -0.022768 0.087868 0.301476 0.962672 0.904849 0.999998
#> Iteration: 200 bestvalit: 26.712886 bestmemit: -6.027231 0.007998 0.002252 -2.447574 0.209404 -0.026344 -0.022687 0.087895 0.301267 0.962593 0.904859 0.999999
#> Iteration: 225 bestvalit: 26.712852 bestmemit: -6.115733 0.008000 0.002254 -2.447596 0.209357 -0.026232 -0.022774 0.087852 0.301427 0.962500 0.904693 1.000000
#> Iteration: 250 bestvalit: 26.712681 bestmemit: -7.009531 0.007989 0.002250 -2.447551 0.209462 -0.026244 -0.022710 0.087822 0.301448 0.962555 0.904709 0.999997
#> Iteration: 275 bestvalit: 26.712625 bestmemit: -8.010009 0.007999 0.002254 -2.447573 0.209371 -0.026294 -0.022720 0.087880 0.301265 0.962610 0.904766 0.999993
#> Iteration: 300 bestvalit: 26.712625 bestmemit: -8.018042 0.007998 0.002254 -2.447565 0.209360 -0.026285 -0.022721 0.087889 0.301320 0.962604 0.904783 0.999994
#> ... Finished Calibration.
#> Best solution: 26.7126229074951
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.3State.truc.normal.boxcox.AR0.a0std
#> Reference model name for maximum acceptable calib. solution: model.2State.truc.normal.boxcox.AR3.a0std
#> Reference model maximum acceptable calib. solution: 26.7534464509194
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 68.421024 bestmemit: -7.898971 -0.000528 0.201921 -0.228101 -2.317806 0.558847 0.351829 0.235592 0.963328 0.685976 0.781928 0.629439 0.191502 0.308231 0.525476 0.482821
#> Iteration: 50 bestvalit: 44.983010 bestmemit: -4.763103 0.016259 0.009750 -0.057001 -2.453988 0.257914 0.298879 0.195632 0.974976 0.879384 0.575967 0.312184 0.098173 0.503631 0.878435 0.188970
#> Iteration: 75 bestvalit: 37.363508 bestmemit: -3.832917 0.015097 0.008513 0.006035 -2.439193 0.118617 0.441986 0.098504 0.938008 0.991315 0.372819 0.327529 0.178561 0.536631 0.948481 0.774987
#> Iteration: 100 bestvalit: 36.297444 bestmemit: -8.225415 0.015632 0.008533 0.004160 -2.444757 0.119467 0.386130 0.054400 0.951860 0.969169 0.393497 0.482197 0.041222 0.615223 0.998960 0.067043
#> Iteration: 125 bestvalit: 35.688012 bestmemit: -7.013409 0.016050 0.008995 0.004659 -2.450672 0.119615 0.437849 0.051198 0.969740 0.926178 0.353188 0.403984 0.000564 0.735470 0.980348 0.203517
#> Iteration: 150 bestvalit: 35.628818 bestmemit: -9.276591 0.016311 0.009447 0.004754 -2.453555 0.122176 0.428902 0.050045 0.968603 0.927937 0.345399 0.403121 0.000190 0.736384 0.999145 0.841008
#> Iteration: 175 bestvalit: 35.622063 bestmemit: -8.218453 0.016265 0.009393 0.004716 -2.452999 0.121034 0.425705 0.050013 0.967454 0.927984 0.341527 0.423467 0.000079 0.734019 0.999665 0.868633
#> Iteration: 200 bestvalit: 35.611074 bestmemit: -9.640537 0.016237 0.009430 0.004739 -2.453265 0.119974 0.430384 0.050061 0.967898 0.928836 0.343637 0.438484 0.000021 0.740269 0.999004 0.475768
#> Iteration: 225 bestvalit: 35.594821 bestmemit: -9.177835 0.016247 0.009543 0.004844 -2.453437 0.119636 0.441949 0.050001 0.966995 0.936349 0.328171 0.388550 0.000041 0.742322 1.000000 0.351569
#> Iteration: 250 bestvalit: 35.591893 bestmemit: -9.088542 0.016240 0.009577 0.004808 -2.453377 0.119390 0.439575 0.050001 0.967552 0.937907 0.326325 0.392696 0.000005 0.746875 0.999999 0.678232
#> Iteration: 275 bestvalit: 35.585980 bestmemit: -8.300514 0.016244 0.009525 0.004817 -2.453431 0.119637 0.434264 0.050042 0.968175 0.944760 0.309787 0.401292 0.000003 0.755725 0.999875 0.308111
#> Iteration: 300 bestvalit: 35.583910 bestmemit: -7.155058 0.016221 0.009542 0.004801 -2.453261 0.119144 0.435148 0.050015 0.968453 0.946683 0.319373 0.387436 0.000082 0.765377 0.998893 0.744719
#> Iteration: 325 bestvalit: 35.559231 bestmemit: -6.672889 0.016369 0.009548 0.004821 -2.454577 0.117194 0.423644 0.050003 0.968228 0.949806 0.394070 0.426167 0.001059 0.822305 0.989369 0.478223
#> Iteration: 350 bestvalit: 35.534513 bestmemit: -8.303961 0.016237 0.009469 0.004724 -2.453145 0.119503 0.432743 0.050003 0.966570 0.955426 0.419344 0.429034 0.001501 0.848334 0.984511 0.692630
#> Iteration: 375 bestvalit: 35.527743 bestmemit: -7.293733 0.016181 0.009416 0.004695 -2.452370 0.119260 0.434841 0.050005 0.965900 0.955955 0.438267 0.422458 0.001186 0.854604 0.985565 0.656423
#> Iteration: 400 bestvalit: 35.506505 bestmemit: -6.813189 0.016242 0.009469 0.004673 -2.453045 0.119324 0.436705 0.050004 0.965647 0.950258 0.488191 0.429094 0.000007 0.857930 0.992192 0.556787
#> Iteration: 425 bestvalit: 35.504098 bestmemit: -9.018571 0.016227 0.009455 0.004701 -2.452903 0.119573 0.432113 0.050000 0.966028 0.953316 0.484144 0.425882 0.000001 0.863284 0.992058 0.284427
#> Iteration: 450 bestvalit: 35.502767 bestmemit: -9.047638 0.016238 0.009437 0.004691 -2.453031 0.120333 0.430714 0.050000 0.966080 0.953810 0.489772 0.434446 0.000005 0.866516 0.992252 0.814977
#> Iteration: 475 bestvalit: 35.495143 bestmemit: -6.096150 0.016170 0.009391 0.004572 -2.452208 0.119762 0.434396 0.050003 0.965962 0.949074 0.537138 0.437158 0.000002 0.869499 0.994852 0.662271
#> Iteration: 500 bestvalit: 35.492380 bestmemit: -8.869653 0.016235 0.009459 0.004678 -2.453094 0.119321 0.431792 0.050004 0.965833 0.946354 0.560842 0.434153 0.000004 0.869866 0.996343 0.878579
#> Iteration: 525 bestvalit: 35.491727 bestmemit: -9.380420 0.016243 0.009462 0.004674 -2.453153 0.119084 0.430662 0.050000 0.965980 0.946435 0.562077 0.437025 0.000003 0.870627 0.996500 0.133515
#> Iteration: 550 bestvalit: 35.491608 bestmemit: -8.017289 0.016244 0.009456 0.004683 -2.453159 0.119248 0.431014 0.050000 0.965888 0.946284 0.563264 0.438382 0.000001 0.870623 0.996498 0.818278
#> Iteration: 575 bestvalit: 35.491365 bestmemit: -9.444245 0.016250 0.009466 0.004692 -2.453309 0.119313 0.430024 0.050000 0.965578 0.946328 0.565389 0.439609 0.000003 0.870954 0.996562 0.274286
#> Iteration: 600 bestvalit: 35.486668 bestmemit: -8.773140 0.016273 0.009520 0.004738 -2.453507 0.119675 0.434208 0.050000 0.965427 0.951012 0.564838 0.440646 0.000041 0.879030 0.996429 0.990370
#> Iteration: 625 bestvalit: 35.483693 bestmemit: -6.949842 0.016257 0.009475 0.004710 -2.453341 0.119408 0.432710 0.050000 0.966473 0.954304 0.565077 0.444545 0.000086 0.886183 0.997120 0.797003
#> Iteration: 650 bestvalit: 35.483269 bestmemit: -9.242166 0.016242 0.009471 0.004687 -2.453155 0.119564 0.430520 0.050000 0.966472 0.955323 0.565610 0.438580 0.000092 0.887739 0.997138 0.396145
#> Iteration: 675 bestvalit: 35.483253 bestmemit: -8.016870 0.016240 0.009467 0.004682 -2.453103 0.119565 0.430658 0.050000 0.966486 0.955239 0.565664 0.438483 0.000090 0.887609 0.997124 0.299108
#> Iteration: 700 bestvalit: 35.483175 bestmemit: -8.182054 0.016243 0.009464 0.004688 -2.453140 0.119563 0.429916 0.050000 0.966376 0.954790 0.566166 0.436829 0.000081 0.886707 0.997089 0.931489
#> Iteration: 725 bestvalit: 35.481633 bestmemit: -7.344135 0.016232 0.009473 0.004673 -2.452980 0.119373 0.428276 0.050000 0.966143 0.953055 0.574241 0.438069 0.000001 0.885089 0.997738 0.342885
#> Iteration: 750 bestvalit: 35.480607 bestmemit: -8.487038 0.016239 0.009463 0.004687 -2.453104 0.119431 0.430867 0.050000 0.966414 0.953774 0.575467 0.439210 0.000000 0.886943 0.998034 0.565629
#> Iteration: 775 bestvalit: 35.480471 bestmemit: -7.487465 0.016237 0.009469 0.004689 -2.453102 0.119407 0.430631 0.050000 0.966419 0.953854 0.576031 0.440201 0.000000 0.887256 0.998125 0.801907
#> Iteration: 800 bestvalit: 35.480326 bestmemit: -7.369804 0.016244 0.009476 0.004692 -2.453222 0.119494 0.431048 0.050000 0.966286 0.954472 0.576299 0.437738 0.000000 0.888105 0.998127 0.469373
#> Iteration: 825 bestvalit: 35.479857 bestmemit: -7.779460 0.016238 0.009471 0.004696 -2.453131 0.119467 0.430650 0.050000 0.966683 0.956161 0.577667 0.441351 0.000000 0.891883 0.998600 0.669623
#> Iteration: 850 bestvalit: 35.479758 bestmemit: -8.091501 0.016235 0.009468 0.004677 -2.453098 0.119547 0.431097 0.050000 0.966664 0.955843 0.577939 0.440857 0.000000 0.891337 0.998580 0.629461
#> Iteration: 875 bestvalit: 35.478997 bestmemit: -9.033272 0.016237 0.009466 0.004685 -2.453066 0.119279 0.431632 0.050000 0.966942 0.956747 0.582910 0.440204 0.000000 0.894051 0.999111 0.533212
#> Iteration: 900 bestvalit: 35.478354 bestmemit: -8.394330 0.016230 0.009461 0.004677 -2.453013 0.119506 0.430976 0.050000 0.966749 0.957460 0.586185 0.444038 0.000000 0.895892 0.999369 0.785401
#> Iteration: 925 bestvalit: 35.476670 bestmemit: -9.385039 0.016234 0.009436 0.004676 -2.452961 0.119121 0.431023 0.050000 0.966647 0.956885 0.595786 0.452206 0.000000 0.896965 0.999990 0.094894
#> Iteration: 950 bestvalit: 35.474559 bestmemit: -7.376121 0.016233 0.009447 0.004686 -2.452884 0.119538 0.430393 0.050000 0.965456 0.956723 0.608168 0.434864 0.000000 0.896739 0.999999 0.055012
#> Iteration: 975 bestvalit: 35.474049 bestmemit: -9.463744 0.016239 0.009446 0.004677 -2.453000 0.119503 0.431003 0.050000 0.965329 0.954727 0.610932 0.435510 0.000000 0.893735 0.999997 0.265722
#> Iteration: 1000 bestvalit: 35.473942 bestmemit: -8.396828 0.016241 0.009451 0.004678 -2.453009 0.119532 0.431381 0.050000 0.965439 0.954470 0.610901 0.438298 0.000000 0.893572 1.000000 0.645892
#> Iteration: 1025 bestvalit: 35.473486 bestmemit: -9.622606 0.016226 0.009431 0.004670 -2.452788 0.119600 0.431419 0.050000 0.965500 0.954779 0.613896 0.436417 0.000000 0.894663 1.000000 0.130944
#> Iteration: 1050 bestvalit: 35.473375 bestmemit: -9.879216 0.016239 0.009447 0.004676 -2.452974 0.119601 0.431129 0.050000 0.965287 0.954734 0.615128 0.436590 0.000000 0.894617 1.000000 0.877028
#> Iteration: 1075 bestvalit: 35.473367 bestmemit: -9.796911 0.016236 0.009445 0.004671 -2.452946 0.119567 0.431272 0.050000 0.965293 0.954778 0.614942 0.437025 0.000000 0.894686 1.000000 0.190327
#> Iteration: 1100 bestvalit: 35.473308 bestmemit: -9.289704 0.016233 0.009435 0.004664 -2.452920 0.119603 0.431763 0.050000 0.965299 0.954986 0.615585 0.436562 0.000000 0.895114 1.000000 0.064866
#> Iteration: 1125 bestvalit: 35.473085 bestmemit: -9.513575 0.016245 0.009456 0.004684 -2.453075 0.119507 0.430961 0.050000 0.965522 0.955990 0.615668 0.436440 0.000000 0.896956 0.999999 0.422997
#> Iteration: 1150 bestvalit: 35.472735 bestmemit: -9.139846 0.016236 0.009449 0.004668 -2.452916 0.119660 0.431082 0.050000 0.965021 0.955794 0.624078 0.435531 0.000001 0.897528 0.999999 0.635514
#> Iteration: 1175 bestvalit: 35.472509 bestmemit: -8.392010 0.016233 0.009438 0.004678 -2.452900 0.119784 0.430466 0.050000 0.965241 0.956352 0.624389 0.436134 0.000001 0.898706 0.999999 0.973508
#> Iteration: 1200 bestvalit: 35.472241 bestmemit: -9.598251 0.016239 0.009452 0.004673 -2.452948 0.119632 0.430536 0.050000 0.965405 0.956744 0.625595 0.437088 0.000001 0.899727 0.999999 0.652410
#> Iteration: 1225 bestvalit: 35.471137 bestmemit: -9.300163 0.016241 0.009443 0.004677 -2.452871 0.119561 0.429790 0.050000 0.964521 0.955141 0.648372 0.436366 0.000001 0.899971 0.999999 0.744605
#> Iteration: 1250 bestvalit: 35.467969 bestmemit: -6.961905 0.016246 0.009446 0.004677 -2.453112 0.119734 0.430130 0.050000 0.965625 0.954447 0.661597 0.429248 0.000002 0.901492 0.999989 0.275588
#> Iteration: 1275 bestvalit: 35.465719 bestmemit: -7.987786 0.016221 0.009447 0.004640 -2.452893 0.119638 0.429596 0.050000 0.965479 0.951244 0.693357 0.437214 0.000004 0.901655 0.999970 0.555418
#> Iteration: 1300 bestvalit: 35.465207 bestmemit: -8.550128 0.016244 0.009448 0.004658 -2.453149 0.119330 0.430321 0.050000 0.965442 0.949827 0.706563 0.443245 0.000004 0.901760 0.999965 0.557445
#> Iteration: 1325 bestvalit: 35.464951 bestmemit: -8.738847 0.016245 0.009456 0.004681 -2.453171 0.119320 0.430148 0.050000 0.965384 0.950997 0.698748 0.444573 0.000004 0.902353 0.999996 0.914885
#> Iteration: 1350 bestvalit: 35.464510 bestmemit: -8.393239 0.016240 0.009439 0.004657 -2.453102 0.119256 0.430171 0.050000 0.965928 0.950966 0.701830 0.443608 0.000004 0.903123 1.000000 0.650278
#> Iteration: 1375 bestvalit: 35.464466 bestmemit: -8.217583 0.016247 0.009445 0.004669 -2.453194 0.119376 0.430073 0.050000 0.965850 0.950838 0.703262 0.443372 0.000004 0.903065 1.000000 0.809586
#> Iteration: 1400 bestvalit: 35.464230 bestmemit: -9.417996 0.016239 0.009443 0.004656 -2.453095 0.119358 0.430014 0.050000 0.965633 0.949674 0.716358 0.446767 0.000004 0.903207 1.000000 0.979962
#> Iteration: 1425 bestvalit: 35.464149 bestmemit: -8.040780 0.016237 0.009433 0.004649 -2.453029 0.119326 0.429867 0.050000 0.965491 0.949979 0.714554 0.447750 0.000004 0.903326 1.000000 0.322433
#> Iteration: 1450 bestvalit: 35.463559 bestmemit: -7.992713 0.016234 0.009435 0.004655 -2.453033 0.119483 0.430048 0.050000 0.965187 0.951130 0.713341 0.445325 0.000004 0.904420 1.000000 0.887503
#> Iteration: 1475 bestvalit: 35.463255 bestmemit: -8.743596 0.016238 0.009444 0.004661 -2.453045 0.119313 0.430229 0.050000 0.965250 0.951223 0.714720 0.444981 0.000004 0.904768 1.000000 0.590366
#> Iteration: 1500 bestvalit: 35.463206 bestmemit: -8.021287 0.016230 0.009438 0.004649 -2.452936 0.119282 0.430298 0.050000 0.965355 0.951092 0.715823 0.443790 0.000004 0.904756 1.000000 0.782351
#> Iteration: 1525 bestvalit: 35.462897 bestmemit: -9.741079 0.016245 0.009440 0.004662 -2.453146 0.119335 0.430128 0.050000 0.965401 0.950160 0.727614 0.442550 0.000004 0.904995 0.999996 0.237668
#> Iteration: 1550 bestvalit: 35.462023 bestmemit: -7.414955 0.016237 0.009445 0.004669 -2.453056 0.119410 0.430523 0.050000 0.964836 0.951926 0.729031 0.446728 0.000004 0.907371 0.999991 0.252388
#> Iteration: 1575 bestvalit: 35.460609 bestmemit: -7.429203 0.016258 0.009486 0.004671 -2.453246 0.119125 0.429344 0.050000 0.965598 0.954366 0.729638 0.441692 0.000004 0.911132 0.999987 0.222914
#> Iteration: 1600 bestvalit: 35.460229 bestmemit: -8.713533 0.016248 0.009458 0.004666 -2.453154 0.119418 0.430243 0.050000 0.965879 0.954656 0.729655 0.445074 0.000004 0.911906 0.999988 0.199674
#> Iteration: 1625 bestvalit: 35.459859 bestmemit: -7.712488 0.016246 0.009452 0.004652 -2.453107 0.119272 0.427858 0.050000 0.965791 0.954261 0.735720 0.444662 0.000004 0.912009 0.999999 0.574457
#> Iteration: 1650 bestvalit: 35.459696 bestmemit: -9.375936 0.016247 0.009459 0.004661 -2.453145 0.119390 0.430042 0.050000 0.965697 0.954060 0.736368 0.445499 0.000004 0.911782 1.000000 0.122712
#> Iteration: 1675 bestvalit: 35.459517 bestmemit: -8.193960 0.016254 0.009458 0.004677 -2.453233 0.119376 0.429109 0.050000 0.965539 0.953090 0.742387 0.444900 0.000004 0.911040 1.000000 0.741310
#> Iteration: 1700 bestvalit: 35.459113 bestmemit: -7.458387 0.016266 0.009457 0.004672 -2.453390 0.119503 0.429350 0.050000 0.965483 0.952130 0.753230 0.448545 0.000005 0.911175 1.000000 0.632280
#> Iteration: 1725 bestvalit: 35.458621 bestmemit: -7.473637 0.016244 0.009445 0.004657 -2.453125 0.119352 0.429702 0.050000 0.965407 0.950575 0.771297 0.447617 0.000005 0.911145 1.000000 0.676555
#> Iteration: 1750 bestvalit: 35.458563 bestmemit: -9.013098 0.016245 0.009449 0.004652 -2.453121 0.119335 0.429873 0.050000 0.965421 0.950650 0.771428 0.445779 0.000005 0.911185 1.000000 0.119532
#> Iteration: 1775 bestvalit: 35.456974 bestmemit: -9.548904 0.016236 0.009445 0.004660 -2.453020 0.119176 0.428607 0.050000 0.965527 0.954399 0.770452 0.449594 0.000006 0.916184 1.000000 0.339186
#> Iteration: 1800 bestvalit: 35.456687 bestmemit: -7.773823 0.016246 0.009452 0.004658 -2.453157 0.119399 0.429896 0.050000 0.965746 0.954731 0.771486 0.444696 0.000006 0.916668 1.000000 0.775494
#> Iteration: 1825 bestvalit: 35.454884 bestmemit: -7.704605 0.016239 0.009439 0.004653 -2.453114 0.119111 0.431223 0.050000 0.965519 0.950818 0.820038 0.446508 0.000011 0.916749 0.999983 0.633911
#> Iteration: 1850 bestvalit: 35.454614 bestmemit: -8.103922 0.016251 0.009448 0.004648 -2.453162 0.119300 0.430348 0.050000 0.965348 0.950964 0.821849 0.445843 0.000011 0.916970 0.999982 0.561922
#> Iteration: 1875 bestvalit: 35.454034 bestmemit: -8.424531 0.016262 0.009462 0.004661 -2.453296 0.119357 0.430798 0.050000 0.965739 0.952555 0.814535 0.447370 0.000012 0.918505 0.999998 0.041392
#> Iteration: 1900 bestvalit: 35.453384 bestmemit: -7.323210 0.016246 0.009450 0.004646 -2.453146 0.119362 0.428753 0.050000 0.965620 0.953359 0.818662 0.449533 0.000013 0.919912 1.000000 0.116041
#> Iteration: 1925 bestvalit: 35.453070 bestmemit: -7.613543 0.016255 0.009467 0.004659 -2.453250 0.119383 0.430129 0.050000 0.965584 0.954271 0.820822 0.448766 0.000014 0.921177 0.999999 0.781797
#> Iteration: 1950 bestvalit: 35.451764 bestmemit: -8.132458 0.016247 0.009453 0.004639 -2.453161 0.119418 0.429651 0.050000 0.965271 0.951137 0.862502 0.450780 0.000020 0.921234 0.999976 0.757212
#> Iteration: 1975 bestvalit: 35.451602 bestmemit: -9.416273 0.016240 0.009432 0.004637 -2.453067 0.119367 0.429131 0.050000 0.965247 0.951420 0.862087 0.449663 0.000020 0.921464 0.999969 0.717799
#> Iteration: 2000 bestvalit: 35.450351 bestmemit: -7.778113 0.016246 0.009447 0.004650 -2.453142 0.119418 0.429574 0.050000 0.965676 0.954448 0.863267 0.448235 0.000024 0.925295 0.999874 0.825719
#> Iteration: 2025 bestvalit: 35.450312 bestmemit: -9.565189 0.016249 0.009455 0.004651 -2.453154 0.119335 0.429384 0.050000 0.965722 0.954401 0.864009 0.448075 0.000024 0.925329 0.999870 0.208094
#> Iteration: 2050 bestvalit: 35.450148 bestmemit: -8.779267 0.016251 0.009452 0.004646 -2.453171 0.119361 0.429016 0.050000 0.965533 0.953906 0.869672 0.445650 0.000026 0.925028 0.999830 0.582272
#> Iteration: 2075 bestvalit: 35.449531 bestmemit: -8.026855 0.016246 0.009447 0.004638 -2.453132 0.119330 0.429576 0.050000 0.965352 0.951909 0.897678 0.450151 0.000037 0.925206 0.999564 0.325554
#> Iteration: 2100 bestvalit: 35.449513 bestmemit: -8.250917 0.016245 0.009441 0.004639 -2.453117 0.119314 0.429501 0.050000 0.965434 0.951853 0.898287 0.449216 0.000037 0.925209 0.999557 0.574916
#> Iteration: 2125 bestvalit: 35.449488 bestmemit: -8.048064 0.016244 0.009440 0.004640 -2.453109 0.119201 0.429994 0.050000 0.965375 0.952008 0.898387 0.447734 0.000037 0.925297 0.999549 0.924664
#> Iteration: 2150 bestvalit: 35.449239 bestmemit: -8.124273 0.016244 0.009454 0.004648 -2.453099 0.119218 0.428662 0.050000 0.965683 0.952843 0.896946 0.450734 0.000040 0.926410 0.999442 0.895131
#> Iteration: 2175 bestvalit: 35.448955 bestmemit: -8.146786 0.016245 0.009447 0.004650 -2.453122 0.119270 0.429467 0.050000 0.965578 0.953915 0.899369 0.446971 0.000045 0.927594 0.999294 0.746574
#> Iteration: 2200 bestvalit: 35.448927 bestmemit: -8.297720 0.016245 0.009449 0.004646 -2.453118 0.119328 0.429468 0.050000 0.965611 0.954061 0.899317 0.448784 0.000046 0.927842 0.999267 0.626637
#> Iteration: 2225 bestvalit: 35.448743 bestmemit: -7.613676 0.016262 0.009451 0.004672 -2.453321 0.119205 0.429273 0.050000 0.965292 0.953749 0.906896 0.447945 0.000051 0.927875 0.999293 0.729434
#> Iteration: 2250 bestvalit: 35.447940 bestmemit: -8.904331 0.016244 0.009440 0.004644 -2.453131 0.119277 0.429297 0.050000 0.965261 0.951285 0.939758 0.450953 0.000074 0.927870 0.999472 0.023853
#> Iteration: 2275 bestvalit: 35.447890 bestmemit: -8.469692 0.016251 0.009447 0.004645 -2.453190 0.119303 0.429435 0.050000 0.965323 0.951258 0.940318 0.449480 0.000074 0.927866 0.999508 0.514110
#> Iteration: 2300 bestvalit: 35.447510 bestmemit: -9.569918 0.016249 0.009441 0.004642 -2.453184 0.119258 0.429844 0.050000 0.965398 0.951069 0.939065 0.451478 0.000066 0.927686 0.999992 0.005122
#> Iteration: 2325 bestvalit: 35.447469 bestmemit: -9.474136 0.016249 0.009442 0.004642 -2.453175 0.119297 0.429494 0.050000 0.965308 0.951393 0.935735 0.450175 0.000063 0.927674 1.000000 0.244525
#> Iteration: 2350 bestvalit: 35.447348 bestmemit: -8.832409 0.016243 0.009439 0.004637 -2.453107 0.119507 0.429305 0.050000 0.965365 0.951724 0.935078 0.447992 0.000061 0.927927 0.999999 0.480476
#> Iteration: 2375 bestvalit: 35.445967 bestmemit: -9.733407 0.016231 0.009431 0.004617 -2.452915 0.119446 0.429098 0.050000 0.965621 0.954640 0.941869 0.445838 0.000039 0.931614 0.999959 0.706935
#> Iteration: 2400 bestvalit: 35.445831 bestmemit: -9.073890 0.016246 0.009448 0.004644 -2.453126 0.119368 0.429515 0.050000 0.965635 0.954745 0.941470 0.449721 0.000038 0.931848 0.999957 0.180353
#> Iteration: 2425 bestvalit: 35.445823 bestmemit: -8.095622 0.016244 0.009445 0.004644 -2.453101 0.119356 0.429388 0.050000 0.965689 0.954817 0.941582 0.449679 0.000037 0.931962 0.999959 0.580900
#> Iteration: 2450 bestvalit: 35.445645 bestmemit: -7.094747 0.016239 0.009446 0.004629 -2.453048 0.119381 0.428666 0.050000 0.965496 0.954244 0.949733 0.450328 0.000042 0.931854 0.999831 0.261006
#> Iteration: 2475 bestvalit: 35.445147 bestmemit: -7.687621 0.016246 0.009435 0.004644 -2.453124 0.119308 0.429008 0.050000 0.965449 0.952698 0.974583 0.451386 0.000051 0.932017 0.999494 0.285555
#> Iteration: 2500 bestvalit: 35.444419 bestmemit: -8.552179 0.016241 0.009432 0.004627 -2.453093 0.119252 0.429281 0.050000 0.965337 0.952114 0.987323 0.452271 0.000065 0.932271 0.999996 0.941753
#> Iteration: 2525 bestvalit: 35.444363 bestmemit: -8.395948 0.016249 0.009441 0.004637 -2.453166 0.119235 0.429559 0.050000 0.965275 0.951861 0.992200 0.451161 0.000068 0.932278 0.999999 0.091035
#> Iteration: 2550 bestvalit: 35.444358 bestmemit: -8.381811 0.016247 0.009441 0.004637 -2.453149 0.119269 0.429478 0.050000 0.965290 0.951756 0.993550 0.451324 0.000069 0.932278 1.000000 0.314408
#> Iteration: 2575 bestvalit: 35.444297 bestmemit: -7.670029 0.016247 0.009443 0.004637 -2.453132 0.119270 0.429698 0.050000 0.965272 0.952024 0.991771 0.451619 0.000067 0.932427 0.999985 0.141836
#> Iteration: 2600 bestvalit: 35.443788 bestmemit: -7.651115 0.016252 0.009456 0.004643 -2.453214 0.119200 0.429299 0.050000 0.965369 0.953894 0.991750 0.448281 0.000057 0.934247 0.999781 0.052772
#> Iteration: 2625 bestvalit: 35.443674 bestmemit: -9.285059 0.016248 0.009446 0.004642 -2.453150 0.119315 0.429334 0.050000 0.965570 0.954210 0.991992 0.450425 0.000055 0.934768 0.999723 0.655526
#> Iteration: 2650 bestvalit: 35.443533 bestmemit: -8.771215 0.016251 0.009448 0.004638 -2.453186 0.119457 0.428407 0.050000 0.965502 0.953525 0.999917 0.453649 0.000064 0.934674 0.999704 0.551652
#> Iteration: 2675 bestvalit: 35.443449 bestmemit: -9.755981 0.016246 0.009445 0.004639 -2.453119 0.119318 0.429187 0.050000 0.965534 0.953706 0.999989 0.451419 0.000062 0.934801 0.999689 0.251051
#> Iteration: 2700 bestvalit: 35.443443 bestmemit: -8.092952 0.016246 0.009444 0.004638 -2.453128 0.119317 0.429292 0.050000 0.965524 0.953733 0.999998 0.451756 0.000062 0.934835 0.999685 0.427523
#> Iteration: 2725 bestvalit: 35.443420 bestmemit: -8.372768 0.016247 0.009445 0.004640 -2.453132 0.119325 0.429425 0.050000 0.965544 0.954169 0.999984 0.451275 0.000061 0.935264 0.999636 0.984079
#> Iteration: 2750 bestvalit: 35.443418 bestmemit: -9.851067 0.016247 0.009447 0.004641 -2.453142 0.119322 0.429397 0.050000 0.965560 0.954207 1.000000 0.451378 0.000061 0.935315 0.999630 0.919496
#> Iteration: 2775 bestvalit: 35.443418 bestmemit: -8.120282 0.016247 0.009447 0.004641 -2.453139 0.119329 0.429429 0.050000 0.965567 0.954192 1.000000 0.451552 0.000061 0.935310 0.999632 0.999902
#> ... Finished Calibration.
#> Best solution: 35.4434178016874
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 35.4434178016874
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 69.552240 bestmemit: -9.294906 0.083431 0.014544 -0.190436 -2.479080 0.279469 0.373116 0.653843 0.709365 0.922417 0.712438 0.342343 0.104565 0.329446 0.276274 0.587121
#> Iteration: 50 bestvalit: 59.196417 bestmemit: -3.539192 0.017015 0.014391 -0.351740 -2.483480 0.577495 0.343898 0.414049 0.663010 0.980203 0.639166 0.553863 0.048689 0.341151 0.268983 0.485760
#> Iteration: 75 bestvalit: 57.511630 bestmemit: -4.855250 0.003613 0.008776 -0.252926 -2.367519 0.436056 0.312682 0.125226 0.584498 0.924771 0.603652 0.570326 0.138020 0.053540 0.283391 0.332248
#> Iteration: 100 bestvalit: 45.373012 bestmemit: -6.575623 0.010071 0.013341 -0.492367 -2.415919 0.556984 0.172029 0.125118 0.719599 0.992645 0.500028 0.750275 0.093725 0.284817 0.073795 0.362040
#> Iteration: 125 bestvalit: 42.864836 bestmemit: -7.012054 0.008860 0.013135 -0.329827 -2.422555 0.644484 0.146366 0.278064 0.975872 0.998409 0.400080 0.512171 0.059192 0.484476 0.298767 0.240522
#> Iteration: 150 bestvalit: 41.202762 bestmemit: -7.952909 0.005654 0.015311 0.457237 -2.436011 0.395609 0.165366 0.085027 0.796993 0.997783 0.595180 0.952765 0.066250 0.067347 0.175873 0.486377
#> Iteration: 175 bestvalit: 37.763477 bestmemit: -8.355310 0.010447 0.016551 0.016383 -2.454396 0.441968 0.139487 0.332644 0.886719 0.995379 0.488788 0.926044 0.038939 0.148813 0.172534 0.600832
#> Iteration: 200 bestvalit: 37.171661 bestmemit: -7.545580 0.009899 0.016639 0.007901 -2.456588 0.468802 0.127404 0.496475 0.896459 0.993570 0.283981 0.875608 0.044377 0.509455 0.029089 0.954220
#> Iteration: 225 bestvalit: 37.002908 bestmemit: -7.031214 0.008396 0.015727 0.008370 -2.447487 0.448154 0.117828 0.202164 0.902198 0.985033 0.193377 0.602422 0.028735 0.035664 0.027062 0.784180
#> Iteration: 250 bestvalit: 36.679112 bestmemit: -4.521105 0.009973 0.016548 0.014067 -2.457559 0.400700 0.116876 0.057027 0.902339 0.990135 0.156589 0.432237 0.044685 0.007077 0.020688 0.863833
#> Iteration: 275 bestvalit: 36.100006 bestmemit: -3.659656 0.009434 0.015913 0.004381 -2.447866 0.474641 0.117721 0.056824 0.955517 0.989823 0.061780 0.234951 0.024343 0.007508 0.024426 0.929573
#> Iteration: 300 bestvalit: 35.656640 bestmemit: -5.417138 0.009528 0.016324 0.004485 -2.453675 0.438649 0.115193 0.051948 0.936350 0.985712 0.083035 0.014770 0.018487 0.038020 0.012788 0.960024
#> Iteration: 325 bestvalit: 35.530099 bestmemit: -5.546837 0.009612 0.016516 0.005053 -2.456788 0.440500 0.118695 0.050298 0.951992 0.982056 0.078138 0.017148 0.016028 0.004383 0.020806 0.990990
#> Iteration: 350 bestvalit: 35.483492 bestmemit: -5.230929 0.009566 0.016377 0.004894 -2.454979 0.433115 0.118859 0.050682 0.954449 0.983139 0.064266 0.006802 0.014345 0.000566 0.005875 0.998939
#> Iteration: 375 bestvalit: 35.454256 bestmemit: -5.956839 0.009460 0.016268 0.004617 -2.453420 0.431724 0.120057 0.050317 0.952426 0.981220 0.066348 0.007978 0.015879 0.000228 0.000740 0.999065
#> Iteration: 400 bestvalit: 35.448795 bestmemit: -6.381445 0.009532 0.016301 0.004687 -2.453949 0.427926 0.119850 0.050147 0.955316 0.980712 0.064025 0.001876 0.015062 0.000561 0.000426 0.999799
#> Iteration: 425 bestvalit: 35.445633 bestmemit: -6.394507 0.009484 0.016287 0.004701 -2.453767 0.429788 0.119262 0.050001 0.955078 0.980415 0.064708 0.000242 0.015300 0.001013 0.000015 0.999649
#> Iteration: 450 bestvalit: 35.444102 bestmemit: -6.117690 0.009441 0.016256 0.004644 -2.453244 0.427422 0.119185 0.050007 0.954857 0.980571 0.064275 0.000440 0.015583 0.000253 0.000303 0.999805
#> Iteration: 475 bestvalit: 35.443081 bestmemit: -6.700368 0.009452 0.016249 0.004640 -2.453207 0.429742 0.119289 0.050001 0.954967 0.980550 0.064175 0.000270 0.015538 0.000065 0.000005 0.999997
#> Iteration: 500 bestvalit: 35.442903 bestmemit: -6.941932 0.009447 0.016253 0.004641 -2.453214 0.429062 0.119316 0.050002 0.954454 0.980689 0.064563 0.000068 0.015631 0.000007 0.000009 0.999986
#> Iteration: 525 bestvalit: 35.442810 bestmemit: -7.265571 0.009450 0.016254 0.004643 -2.453217 0.428670 0.119254 0.050000 0.954375 0.980749 0.064578 0.000051 0.015589 0.000007 0.000005 0.999993
#> Iteration: 550 bestvalit: 35.442742 bestmemit: -7.883849 0.009444 0.016246 0.004637 -2.453117 0.429408 0.119319 0.050000 0.954600 0.980841 0.064265 0.000021 0.015533 0.000013 0.000000 0.999996
#> Iteration: 575 bestvalit: 35.442718 bestmemit: -9.292749 0.009447 0.016245 0.004638 -2.453106 0.429453 0.119322 0.050000 0.954530 0.980864 0.064309 0.000001 0.015542 0.000001 0.000001 0.999999
#> Iteration: 600 bestvalit: 35.442712 bestmemit: -9.847207 0.009449 0.016249 0.004642 -2.453156 0.429444 0.119324 0.050000 0.954542 0.980833 0.064328 0.000001 0.015541 0.000000 0.000001 0.999999
#> Iteration: 625 bestvalit: 35.442709 bestmemit: -8.971640 0.009445 0.016247 0.004641 -2.453129 0.429356 0.119336 0.050000 0.954578 0.980846 0.064278 0.000001 0.015530 0.000000 0.000000 0.999999
#> Iteration: 650 bestvalit: 35.442708 bestmemit: -9.531052 0.009446 0.016246 0.004640 -2.453119 0.429340 0.119329 0.050000 0.954586 0.980851 0.064266 0.000001 0.015528 0.000000 0.000000 1.000000
#> ... Finished Calibration.
#> Best solution: 35.4427074281478
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 35.4427074281478
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 73.038924 bestmemit: -6.091360 0.198630 -0.005280 0.008685 -2.364652 0.507694 0.412900 0.517293 0.867520 0.903171 0.851751 0.365488 0.738330 0.028594 0.481184 0.419251
#> Iteration: 50 bestvalit: 60.801924 bestmemit: -7.037864 -0.088973 -0.081756 0.012578 -2.448957 0.671025 0.126191 0.359558 0.830767 0.713901 0.998665 0.383495 0.608987 0.071496 0.624915 0.616424
#> Iteration: 75 bestvalit: 57.445777 bestmemit: -6.656291 -0.307928 0.090083 0.014549 -2.449528 0.702684 0.152138 0.424709 0.945060 0.782637 0.994497 0.440203 0.808405 0.044844 0.164886 0.703569
#> Iteration: 100 bestvalit: 57.445777 bestmemit: -6.656291 -0.307928 0.090083 0.014549 -2.449528 0.702684 0.152138 0.424709 0.945060 0.782637 0.994497 0.440203 0.808405 0.044844 0.164886 0.703569
#> Iteration: 125 bestvalit: 52.010597 bestmemit: -3.533613 0.016682 0.308431 0.078573 -2.492149 0.392996 0.467923 0.642614 0.998788 0.467083 0.884042 0.159817 0.376430 0.366645 0.904417 0.069448
#> Iteration: 150 bestvalit: 52.010597 bestmemit: -3.533613 0.016682 0.308431 0.078573 -2.492149 0.392996 0.467923 0.642614 0.998788 0.467083 0.884042 0.159817 0.376430 0.366645 0.904417 0.069448
#> Iteration: 175 bestvalit: 51.717359 bestmemit: -3.850314 0.015102 -0.350935 0.119180 -2.462191 0.305669 0.417333 0.612471 0.987080 0.530894 0.846196 0.405612 0.406588 0.367386 0.764365 0.719373
#> Iteration: 200 bestvalit: 47.208578 bestmemit: -5.219703 0.015071 -0.381356 0.002125 -2.453313 0.203084 0.609788 0.422569 0.975735 0.394862 0.875916 0.256886 0.430118 0.214170 0.424049 0.329513
#> Iteration: 225 bestvalit: 41.057589 bestmemit: -5.468164 0.014139 -0.283122 0.009612 -2.433969 0.127976 0.259841 0.453590 0.980537 0.311586 0.987162 0.447843 0.737017 0.164746 0.553009 0.726167
#> Iteration: 250 bestvalit: 38.481662 bestmemit: -9.697274 0.018024 0.017060 0.012329 -2.476485 0.134357 0.342168 0.451170 0.976933 0.395895 0.971022 0.176675 0.825063 0.011691 0.373110 0.591690
#> Iteration: 275 bestvalit: 37.311921 bestmemit: -6.888967 0.015972 0.015470 0.009568 -2.448620 0.114834 0.347716 0.489137 0.959811 0.518354 0.994914 0.257508 0.672907 0.098091 0.656013 0.757807
#> Iteration: 300 bestvalit: 36.968435 bestmemit: -8.139999 0.015986 0.013001 0.009201 -2.448130 0.130631 0.217779 0.413344 0.950556 0.430068 0.995749 0.340166 0.782258 0.091928 0.924709 0.457379
#> Iteration: 325 bestvalit: 36.663280 bestmemit: -7.623864 0.016026 0.005344 0.009489 -2.451283 0.123081 0.051514 0.383920 0.952473 0.388846 0.979864 0.218703 0.616616 0.094046 0.951154 0.267028
#> Iteration: 350 bestvalit: 35.897378 bestmemit: -7.585655 0.015864 0.004565 0.009444 -2.448349 0.121672 0.057495 0.460539 0.961466 0.460723 0.944447 0.804071 0.805738 0.000433 0.976867 0.441201
#> Iteration: 375 bestvalit: 35.762371 bestmemit: -7.685462 0.016256 0.005306 0.009672 -2.454538 0.116182 0.050021 0.408912 0.968187 0.540639 0.936583 0.523492 0.849338 0.006601 0.907621 0.511803
#> Iteration: 400 bestvalit: 35.610263 bestmemit: -7.805889 0.016189 0.004741 0.009552 -2.452835 0.116790 0.050603 0.422150 0.964338 0.883148 0.945939 0.595695 0.901652 0.006955 0.951459 0.384896
#> Iteration: 425 bestvalit: 35.490387 bestmemit: -8.872284 0.016237 0.004573 0.009545 -2.452996 0.121678 0.050506 0.419681 0.963970 0.988568 0.950985 0.573861 0.929405 0.003723 0.998975 0.530413
#> Iteration: 450 bestvalit: 35.474006 bestmemit: -9.620512 0.016098 0.004493 0.009274 -2.451179 0.119402 0.050586 0.413975 0.967768 0.931278 0.951738 0.538115 0.928199 0.000297 0.997860 0.623300
#> Iteration: 475 bestvalit: 35.457639 bestmemit: -7.903003 0.016149 0.004569 0.009388 -2.451921 0.118930 0.050002 0.415657 0.966461 0.988170 0.955773 0.550403 0.934769 0.000389 0.997764 0.666431
#> Iteration: 500 bestvalit: 35.449066 bestmemit: -8.379278 0.016303 0.004637 0.009514 -2.453625 0.119930 0.050014 0.423358 0.966235 0.998872 0.954611 0.543396 0.936051 0.000228 0.998491 0.761765
#> Iteration: 525 bestvalit: 35.445275 bestmemit: -7.461017 0.016257 0.004649 0.009442 -2.453347 0.119493 0.050009 0.426454 0.965696 0.988902 0.954022 0.556242 0.933962 0.000101 0.999822 0.468538
#> Iteration: 550 bestvalit: 35.443909 bestmemit: -8.977987 0.016237 0.004632 0.009441 -2.453043 0.119012 0.050005 0.428963 0.966105 0.992305 0.954919 0.546472 0.935840 0.000026 0.999828 0.572688
#> Iteration: 575 bestvalit: 35.443308 bestmemit: -7.725946 0.016285 0.004701 0.009496 -2.453607 0.119060 0.050007 0.429303 0.965425 0.999920 0.954881 0.549101 0.935880 0.000007 0.999949 0.239233
#> Iteration: 600 bestvalit: 35.442988 bestmemit: -8.844878 0.016252 0.004647 0.009453 -2.453213 0.119392 0.050003 0.430261 0.965829 0.999221 0.954507 0.549091 0.935685 0.000001 0.999897 0.710898
#> Iteration: 625 bestvalit: 35.442824 bestmemit: -8.748171 0.016260 0.004663 0.009463 -2.453285 0.119339 0.050001 0.428820 0.965705 0.999505 0.954471 0.547505 0.935662 0.000003 0.999999 0.273671
#> Iteration: 650 bestvalit: 35.442746 bestmemit: -8.493124 0.016246 0.004646 0.009449 -2.453133 0.119265 0.050000 0.429041 0.965594 0.999993 0.954751 0.549196 0.935853 0.000001 0.999996 0.517858
#> Iteration: 675 bestvalit: 35.442724 bestmemit: -8.803449 0.016249 0.004648 0.009450 -2.453175 0.119337 0.050000 0.429163 0.965599 0.999937 0.954575 0.548314 0.935707 0.000001 0.999999 0.398001
#> Iteration: 700 bestvalit: 35.442717 bestmemit: -8.325073 0.016249 0.004646 0.009449 -2.453164 0.119361 0.050000 0.429225 0.965592 0.999997 0.954589 0.549244 0.935690 0.000000 0.999997 0.680917
#> Iteration: 725 bestvalit: 35.442711 bestmemit: -8.436637 0.016247 0.004644 0.009448 -2.453142 0.119371 0.050000 0.429284 0.965600 0.999997 0.954584 0.548696 0.935709 0.000000 1.000000 0.889636
#> Iteration: 750 bestvalit: 35.442709 bestmemit: -8.339978 0.016247 0.004642 0.009448 -2.453137 0.119361 0.050000 0.429236 0.965604 0.999997 0.954591 0.548485 0.935725 0.000000 1.000000 0.739118
#> Iteration: 775 bestvalit: 35.442708 bestmemit: -8.629903 0.016247 0.004641 0.009447 -2.453135 0.119333 0.050000 0.429237 0.965618 0.999996 0.954593 0.548324 0.935741 0.000000 1.000000 0.000077
#> Iteration: 800 bestvalit: 35.442708 bestmemit: -8.912713 0.016246 0.004641 0.009446 -2.453127 0.119338 0.050000 0.429377 0.965617 0.999999 0.954584 0.548444 0.935727 0.000000 1.000000 0.828747
#> ... Finished Calibration.
#> Best solution: 35.4427074582321
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 35.4427074281478
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 65.257502 bestmemit: -3.137456 0.011859 0.370443 0.471688 -2.444354 0.454277 0.398912 0.671251 0.881391 0.846451 0.479884 0.446013 0.245451 0.213854 0.604247 0.494984
#> Iteration: 50 bestvalit: 55.312403 bestmemit: -6.390999 0.024300 0.012515 0.087687 -2.602248 0.437383 0.415578 0.481551 0.968794 0.790989 0.593200 0.711038 0.302977 0.506573 0.770850 0.155466
#> Iteration: 75 bestvalit: 54.013133 bestmemit: -7.076350 0.016580 -0.064961 0.016337 -2.493453 0.419878 0.593028 0.354547 0.966017 0.705099 0.908951 0.402530 0.363582 0.525736 0.325132 0.739009
#> Iteration: 100 bestvalit: 45.639205 bestmemit: -4.886430 0.012664 -0.369623 0.008954 -2.426828 0.206434 0.108259 0.395365 0.947544 0.812461 0.896369 0.164702 0.554137 0.200524 0.804798 0.251623
#> Iteration: 125 bestvalit: 41.899304 bestmemit: -4.419309 0.012532 -0.449157 0.007641 -2.413622 0.113240 0.679193 0.498229 0.924247 0.630942 0.979679 0.018638 0.825557 0.014055 0.629740 0.571512
#> Iteration: 150 bestvalit: 39.057028 bestmemit: -5.565862 0.019227 -0.103025 0.012899 -2.494159 0.152870 0.693440 0.390123 0.959705 0.814366 0.993583 0.188155 0.657991 0.091918 0.822736 0.359135
#> Iteration: 175 bestvalit: 37.900780 bestmemit: -7.193836 0.017092 0.015990 0.010415 -2.464787 0.103276 0.398698 0.381378 0.937886 0.565351 0.953238 0.801934 0.779473 0.116882 0.812765 0.375493
#> Iteration: 200 bestvalit: 37.631062 bestmemit: -5.511267 0.016313 0.012806 0.008724 -2.455378 0.108866 0.186750 0.492786 0.941153 0.487957 0.941007 0.068896 0.696413 0.120603 0.788506 0.449027
#> Iteration: 225 bestvalit: 36.924995 bestmemit: -6.918073 0.016437 0.008918 0.010450 -2.456398 0.117323 0.472479 0.439723 0.958991 0.378675 0.981960 0.317749 0.773480 0.082912 0.993798 0.318875
#> Iteration: 250 bestvalit: 36.252719 bestmemit: -6.214809 0.016475 0.005896 0.009961 -2.456244 0.112534 0.106612 0.460192 0.972173 0.931863 0.963036 0.599974 0.877494 0.008767 0.989549 0.435959
#> Iteration: 275 bestvalit: 35.789655 bestmemit: -8.447561 0.016279 0.005278 0.009977 -2.455145 0.120720 0.051248 0.428121 0.971961 0.799967 0.966391 0.449893 0.901287 0.013527 0.986474 0.417693
#> Iteration: 300 bestvalit: 35.557867 bestmemit: -8.446989 0.016339 0.004768 0.009577 -2.454643 0.119538 0.053377 0.446272 0.964812 0.651625 0.952946 0.581661 0.893756 0.004877 0.997224 0.281339
#> Iteration: 325 bestvalit: 35.508119 bestmemit: -5.670817 0.016012 0.004403 0.009195 -2.450610 0.120551 0.050013 0.446234 0.964861 0.582779 0.952623 0.540224 0.883787 0.001245 0.998181 0.851755
#> Iteration: 350 bestvalit: 35.465497 bestmemit: -8.588883 0.016138 0.004387 0.009297 -2.451910 0.119128 0.050107 0.425864 0.964638 0.899095 0.950972 0.565439 0.922883 0.000688 0.998677 0.006793
#> Iteration: 375 bestvalit: 35.451530 bestmemit: -6.850046 0.016217 0.004694 0.009441 -2.452995 0.118681 0.050147 0.428299 0.966314 0.980580 0.953278 0.561368 0.932976 0.000049 0.998317 0.114678
#> Iteration: 400 bestvalit: 35.445961 bestmemit: -7.912284 0.016181 0.004604 0.009424 -2.452297 0.119641 0.050010 0.433022 0.965645 0.987739 0.953245 0.545610 0.933507 0.000048 0.999854 0.417747
#> Iteration: 425 bestvalit: 35.444137 bestmemit: -6.926474 0.016218 0.004598 0.009435 -2.452679 0.119125 0.050000 0.431912 0.966199 0.996397 0.953949 0.549162 0.935119 0.000025 0.999916 0.722221
#> Iteration: 450 bestvalit: 35.443521 bestmemit: -7.198170 0.016236 0.004637 0.009421 -2.452986 0.119333 0.050004 0.430867 0.965686 0.996201 0.954036 0.546797 0.935005 0.000026 0.999785 0.704220
#> Iteration: 475 bestvalit: 35.443020 bestmemit: -7.254750 0.016241 0.004631 0.009440 -2.453043 0.119397 0.050000 0.430106 0.965583 0.999056 0.954568 0.550253 0.935560 0.000033 0.999983 0.351856
#> Iteration: 500 bestvalit: 35.442802 bestmemit: -8.919342 0.016243 0.004636 0.009449 -2.453088 0.119272 0.050002 0.428849 0.965543 0.999927 0.954832 0.548074 0.935941 0.000003 0.999983 0.240943
#> Iteration: 525 bestvalit: 35.442750 bestmemit: -7.997452 0.016249 0.004644 0.009454 -2.453174 0.119336 0.050000 0.429461 0.965641 0.999775 0.954456 0.548419 0.935596 0.000001 0.999992 0.442179
#> Iteration: 550 bestvalit: 35.442718 bestmemit: -8.139936 0.016244 0.004635 0.009444 -2.453094 0.119352 0.050000 0.429295 0.965627 0.999985 0.954673 0.547767 0.935843 0.000000 0.999999 0.337843
#> Iteration: 575 bestvalit: 35.442714 bestmemit: -8.048763 0.016246 0.004640 0.009445 -2.453121 0.119338 0.050000 0.429309 0.965646 0.999916 0.954640 0.548414 0.935795 0.000000 1.000000 0.986104
#> Iteration: 600 bestvalit: 35.442709 bestmemit: -8.590248 0.016245 0.004639 0.009446 -2.453111 0.119347 0.050000 0.429301 0.965621 0.999999 0.954578 0.548122 0.935734 0.000000 1.000000 0.685734
#> Iteration: 625 bestvalit: 35.442708 bestmemit: -8.170331 0.016247 0.004641 0.009447 -2.453132 0.119335 0.050000 0.429358 0.965607 0.999997 0.954574 0.548290 0.935716 0.000000 1.000000 0.605968
#> Iteration: 650 bestvalit: 35.442708 bestmemit: -8.502796 0.016246 0.004640 0.009446 -2.453122 0.119337 0.050000 0.429360 0.965608 0.999999 0.954586 0.548384 0.935726 0.000000 1.000000 0.485832
#> ... Finished Calibration.
#> Best solution: 35.4427073528533
#>
#> ... Doing Calibration Trial 5 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 35.4427073528533
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 79.393431 bestmemit: -3.548967 0.022765 0.463904 -0.001409 -2.582887 0.140111 0.622599 0.080582 0.990885 0.499439 0.705098 0.412654 0.012971 0.158785 0.782107 0.819139
#> Iteration: 50 bestvalit: 56.458721 bestmemit: -2.662949 0.020990 0.042664 -0.069510 -2.530707 0.354221 0.516489 0.246927 0.981356 0.518541 0.754963 0.125233 0.526183 0.147104 0.523118 0.740292
#> Iteration: 75 bestvalit: 53.388340 bestmemit: -2.579125 0.015553 0.172898 -0.194266 -2.477491 0.330724 0.445984 0.267147 0.994081 0.536788 0.745371 0.610678 0.364650 0.182086 0.666580 0.364226
#> Iteration: 100 bestvalit: 47.091904 bestmemit: -4.073773 0.015678 0.114485 0.005998 -2.444651 0.146916 0.274520 0.464248 0.938289 0.402083 0.857492 0.827424 0.410388 0.269907 0.302215 0.506381
#> Iteration: 125 bestvalit: 43.563093 bestmemit: -4.113606 0.016550 0.038591 0.012023 -2.457095 0.163847 0.422466 0.580156 0.947883 0.398265 0.926783 0.609741 0.443212 0.216482 0.687773 0.690681
#> Iteration: 150 bestvalit: 39.571580 bestmemit: -5.353345 0.016077 0.012501 0.006832 -2.451894 0.112323 0.315303 0.450243 0.954751 0.659026 0.901165 0.436366 0.441478 0.292150 0.615356 0.324998
#> Iteration: 175 bestvalit: 37.993245 bestmemit: -5.126232 0.016971 0.007144 0.010038 -2.462645 0.116433 0.138759 0.451719 0.954174 0.396037 0.879512 0.574827 0.551422 0.184037 0.606634 0.183414
#> Iteration: 200 bestvalit: 36.927541 bestmemit: -4.168539 0.016608 0.013565 0.009869 -2.457283 0.124937 0.388827 0.491529 0.931344 0.635874 0.894868 0.786853 0.434887 0.026251 0.961008 0.492405
#> Iteration: 225 bestvalit: 36.480158 bestmemit: -6.354195 0.017395 0.011555 0.010300 -2.466896 0.112590 0.268149 0.419138 0.917599 0.630409 0.937266 0.862565 0.677778 0.028815 0.932536 0.982994
#> Iteration: 250 bestvalit: 36.154820 bestmemit: -7.419379 0.016569 0.009763 0.009559 -2.456488 0.118754 0.201097 0.445895 0.945501 0.314779 0.998265 0.965768 0.640127 0.030952 0.982759 0.343772
#> Iteration: 275 bestvalit: 36.005511 bestmemit: -7.327302 0.017990 0.013346 0.010664 -2.469664 0.100971 0.185168 0.456925 0.905628 0.869292 0.996633 0.999693 0.399795 0.018294 0.997402 0.395274
#> Iteration: 300 bestvalit: 35.979928 bestmemit: -6.629746 0.018034 0.013054 0.010816 -2.470743 0.104803 0.182318 0.452939 0.913645 0.836512 0.997791 0.999007 0.399842 0.023030 0.999681 0.712611
#> Iteration: 325 bestvalit: 35.975160 bestmemit: -6.662312 0.018077 0.013168 0.010800 -2.470826 0.104806 0.176875 0.445668 0.911250 0.850750 0.999791 0.999940 0.388342 0.022306 0.998091 0.695064
#> Iteration: 350 bestvalit: 35.973947 bestmemit: -7.370008 0.018106 0.013284 0.010833 -2.471154 0.104422 0.177825 0.443524 0.909498 0.853983 0.999885 0.999875 0.381212 0.021713 0.999943 0.509030
#> Iteration: 375 bestvalit: 35.973412 bestmemit: -8.003727 0.018108 0.013209 0.010837 -2.471305 0.104436 0.177993 0.443997 0.910790 0.849438 0.999946 0.999987 0.384947 0.022791 0.999887 0.738575
#> Iteration: 400 bestvalit: 35.973302 bestmemit: -8.491674 0.018113 0.013218 0.010841 -2.471323 0.104390 0.178290 0.444115 0.911143 0.850135 0.999997 0.999998 0.383002 0.022815 0.999978 0.923269
#> Iteration: 425 bestvalit: 35.973286 bestmemit: -9.057630 0.018117 0.013222 0.010843 -2.471387 0.104345 0.178336 0.444208 0.911015 0.850050 0.999995 0.999999 0.383493 0.022884 0.999996 0.988941
#> Iteration: 450 bestvalit: 35.973279 bestmemit: -9.547765 0.018119 0.013226 0.010844 -2.471408 0.104357 0.178179 0.444267 0.910889 0.850072 0.999998 1.000000 0.383513 0.022834 0.999999 0.621322
#> Iteration: 475 bestvalit: 35.973278 bestmemit: -9.084683 0.018118 0.013226 0.010842 -2.471384 0.104365 0.178237 0.444250 0.910922 0.850125 1.000000 1.000000 0.383471 0.022877 1.000000 0.339585
#> ... Finished Calibration.
#> Best solution: 35.973277118279
#>
#> ... Doing Calibration Trial 6 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 35.4427073528533
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 61.484843 bestmemit: -8.267868 0.022992 -0.047011 -0.384451 -2.569319 0.615465 0.422799 0.304073 0.974145 0.442854 0.919507 0.242348 0.488538 0.384813 0.378722 0.397200
#> Iteration: 50 bestvalit: 43.730913 bestmemit: -9.207687 0.017359 -0.109504 0.008534 -2.481457 0.209030 0.243395 0.288338 0.935213 0.662388 0.886684 0.104088 0.255241 0.413391 0.964671 0.489922
#> Iteration: 75 bestvalit: 38.095814 bestmemit: -5.552662 0.018117 0.011332 0.010798 -2.476500 0.105599 0.445491 0.321765 0.921672 0.744398 0.884568 0.247992 0.366653 0.242819 0.966332 0.671500
#> Iteration: 100 bestvalit: 35.587782 bestmemit: -4.734892 0.017253 0.015132 0.010228 -2.461955 0.125549 0.050950 0.520517 0.918283 0.825363 0.842964 0.410499 0.573634 0.001454 0.239015 0.938928
#> Iteration: 125 bestvalit: 34.695921 bestmemit: -9.070015 0.017987 0.015436 0.010232 -2.466327 0.111796 0.050635 0.379230 0.924988 0.829481 0.838554 0.491621 0.348961 0.001995 0.012297 0.987206
#> Iteration: 150 bestvalit: 34.246275 bestmemit: -8.955578 0.020756 0.017219 0.011063 -2.490268 0.088266 0.050073 0.406323 0.911446 0.877021 0.814647 0.396030 0.175921 0.019272 0.011500 0.998762
#> Iteration: 175 bestvalit: 33.910558 bestmemit: -5.331072 0.021577 0.018048 0.012543 -2.501227 0.081913 0.050025 0.380976 0.909685 0.904392 0.831093 0.383024 0.180397 0.050314 0.007854 0.996306
#> Iteration: 200 bestvalit: 33.792713 bestmemit: -5.462739 0.021045 0.017638 0.011979 -2.494382 0.085538 0.050016 0.369296 0.899012 0.905078 0.844540 0.450374 0.182115 0.074329 0.026302 0.999307
#> Iteration: 225 bestvalit: 33.640420 bestmemit: -4.938069 0.021255 0.017716 0.012096 -2.495000 0.081572 0.050030 0.389868 0.886610 0.893513 0.858248 0.542875 0.173486 0.093439 0.000842 0.999947
#> Iteration: 250 bestvalit: 33.556739 bestmemit: -5.961509 0.021221 0.017763 0.012289 -2.495040 0.082141 0.050263 0.427659 0.879874 0.892281 0.853712 0.564705 0.163288 0.075112 0.002010 0.999128
#> Iteration: 275 bestvalit: 33.386915 bestmemit: -6.487018 0.021696 0.018171 0.012948 -2.501615 0.084218 0.050001 0.413362 0.864675 0.880603 0.886326 0.609999 0.148863 0.087843 0.000371 0.997190
#> Iteration: 300 bestvalit: 33.377122 bestmemit: -5.818650 0.021654 0.018208 0.012999 -2.501225 0.083624 0.050000 0.417305 0.864117 0.884535 0.884524 0.607642 0.149197 0.083065 0.000450 0.996986
#> Iteration: 325 bestvalit: 33.361268 bestmemit: -5.808648 0.021819 0.018336 0.013146 -2.503058 0.082774 0.050000 0.422774 0.861431 0.878468 0.889175 0.624775 0.153936 0.082923 0.000089 0.994831
#> Iteration: 350 bestvalit: 33.327876 bestmemit: -6.915386 0.021846 0.018404 0.013243 -2.503935 0.082469 0.050000 0.418729 0.858718 0.894480 0.888730 0.590792 0.165212 0.080679 0.000010 0.989612
#> Iteration: 375 bestvalit: 33.132447 bestmemit: -6.367124 0.022363 0.018813 0.013176 -2.506179 0.073796 0.050000 0.393601 0.823255 0.903683 0.912654 0.708793 0.161977 0.065022 0.006378 0.951708
#> Iteration: 400 bestvalit: 32.519590 bestmemit: -5.387565 0.024036 0.019214 0.013142 -2.507417 0.050007 0.050006 0.388721 0.778657 0.894855 0.914082 0.990135 0.131191 0.039630 0.016614 0.889829
#> Iteration: 425 bestvalit: 32.436487 bestmemit: -5.537325 0.024024 0.019267 0.013487 -2.507716 0.050024 0.050007 0.399498 0.766770 0.902805 0.925416 0.998956 0.118133 0.049083 0.014979 0.891443
#> Iteration: 450 bestvalit: 32.433582 bestmemit: -5.801893 0.024051 0.019295 0.013492 -2.507979 0.050000 0.050007 0.397164 0.766484 0.902958 0.925944 0.999957 0.118852 0.048799 0.015366 0.890462
#> Iteration: 475 bestvalit: 32.432876 bestmemit: -5.816715 0.024025 0.019280 0.013494 -2.507678 0.050000 0.050007 0.398475 0.763834 0.903311 0.927863 0.999998 0.118909 0.048783 0.015468 0.889243
#> Iteration: 500 bestvalit: 32.414323 bestmemit: -8.432121 0.024111 0.019351 0.013557 -2.508635 0.050058 0.050008 0.389124 0.761878 0.899524 0.927646 0.999421 0.116202 0.047125 0.019126 0.885435
#> Iteration: 525 bestvalit: 32.185430 bestmemit: -6.359060 0.024028 0.019215 0.013286 -2.507634 0.051023 0.050023 0.401339 0.694252 0.895412 0.907753 0.988744 0.141017 0.047497 0.080902 0.831943
#> Iteration: 550 bestvalit: 32.099540 bestmemit: -6.278327 0.024042 0.019338 0.013446 -2.509270 0.051512 0.050031 0.379288 0.688355 0.887034 0.884632 0.988825 0.136392 0.043154 0.104523 0.821054
#> Iteration: 575 bestvalit: 31.971664 bestmemit: -7.582145 0.024112 0.019376 0.013389 -2.510135 0.052044 0.050025 0.378972 0.679755 0.877270 0.865858 0.998670 0.142774 0.043694 0.000654 0.808077
#> Iteration: 600 bestvalit: 31.962297 bestmemit: -8.535001 0.024117 0.019386 0.013418 -2.510191 0.052092 0.050028 0.380751 0.671074 0.880834 0.866998 0.999956 0.137835 0.040786 0.000017 0.802116
#> Iteration: 625 bestvalit: 31.960884 bestmemit: -9.463345 0.024067 0.019336 0.013402 -2.509518 0.052022 0.050029 0.382003 0.673554 0.882477 0.867992 1.000000 0.139254 0.040025 0.000089 0.804434
#> Iteration: 650 bestvalit: 31.959940 bestmemit: -6.977951 0.024067 0.019337 0.013416 -2.509492 0.052068 0.050031 0.380288 0.670389 0.881677 0.866044 0.999912 0.140635 0.038877 0.000003 0.801265
#> Iteration: 675 bestvalit: 31.942919 bestmemit: -8.465237 0.024040 0.019295 0.013372 -2.509683 0.051140 0.050088 0.376946 0.673850 0.880457 0.866973 0.995150 0.147515 0.040289 0.000250 0.811483
#> Iteration: 700 bestvalit: 31.893104 bestmemit: -7.147046 0.024219 0.019454 0.013505 -2.511271 0.050004 0.050170 0.379483 0.669037 0.880850 0.860107 0.988542 0.141306 0.037248 0.000606 0.817178
#> Iteration: 725 bestvalit: 31.889415 bestmemit: -8.377029 0.024119 0.019358 0.013400 -2.509838 0.050001 0.050179 0.379440 0.660970 0.881517 0.857310 0.987800 0.142065 0.037651 0.000335 0.812601
#> Iteration: 750 bestvalit: 31.888442 bestmemit: -8.259630 0.024126 0.019363 0.013400 -2.509913 0.050004 0.050177 0.379088 0.662314 0.881187 0.857876 0.986705 0.141246 0.037913 0.000010 0.815640
#> Iteration: 775 bestvalit: 31.865447 bestmemit: -7.997746 0.024049 0.019255 0.013358 -2.508930 0.050270 0.050116 0.369981 0.666614 0.887552 0.852974 0.935658 0.140231 0.038752 0.000049 0.925129
#> Iteration: 800 bestvalit: 31.839296 bestmemit: -8.695067 0.023997 0.019273 0.013359 -2.508903 0.050510 0.050073 0.375924 0.654737 0.890364 0.860452 0.898418 0.143975 0.041231 0.000094 0.998664
#> Iteration: 825 bestvalit: 31.838682 bestmemit: -9.185375 0.023999 0.019270 0.013346 -2.508818 0.050509 0.050071 0.376597 0.656379 0.890432 0.860890 0.898584 0.143890 0.040650 0.000105 0.999931
#> Iteration: 850 bestvalit: 31.816578 bestmemit: -5.974542 0.024088 0.019317 0.013395 -2.508895 0.050232 0.050154 0.381753 0.659121 0.888215 0.852705 0.947499 0.138473 0.037662 0.004160 0.957551
#> Iteration: 875 bestvalit: 31.782308 bestmemit: -6.364567 0.024093 0.019326 0.013385 -2.509284 0.050009 0.050225 0.378103 0.655669 0.879945 0.861564 0.994333 0.140969 0.039183 0.007925 0.914017
#> Iteration: 900 bestvalit: 31.776370 bestmemit: -7.309960 0.024116 0.019343 0.013359 -2.509566 0.050002 0.050242 0.376821 0.654417 0.881117 0.854769 0.999522 0.142284 0.036874 0.008479 0.910667
#> Iteration: 925 bestvalit: 31.768646 bestmemit: -9.100690 0.024219 0.019408 0.013454 -2.510722 0.050069 0.050250 0.383271 0.652893 0.881158 0.851339 0.999894 0.144486 0.033337 0.008238 0.924282
#> Iteration: 950 bestvalit: 31.709127 bestmemit: -6.516962 0.024221 0.019463 0.013458 -2.511150 0.050499 0.050282 0.375601 0.639937 0.876494 0.848711 0.999773 0.143349 0.034547 0.005885 0.999546
#> Iteration: 975 bestvalit: 31.703330 bestmemit: -7.469826 0.024131 0.019360 0.013373 -2.509785 0.050486 0.050262 0.376362 0.646979 0.880278 0.856745 0.999769 0.143079 0.035775 0.005664 0.999947
#> Iteration: 1000 bestvalit: 31.702960 bestmemit: -8.065993 0.024149 0.019368 0.013381 -2.509881 0.050484 0.050264 0.375711 0.647101 0.879585 0.855598 0.999993 0.143576 0.035720 0.005763 0.999995
#> Iteration: 1025 bestvalit: 31.702901 bestmemit: -9.576947 0.024138 0.019362 0.013370 -2.509763 0.050485 0.050263 0.375648 0.646974 0.880004 0.855921 0.999999 0.143239 0.035771 0.005730 0.999999
#> Iteration: 1050 bestvalit: 31.702872 bestmemit: -9.082442 0.024141 0.019364 0.013375 -2.509835 0.050484 0.050264 0.375736 0.647063 0.879824 0.855430 1.000000 0.143307 0.035573 0.005722 0.999998
#> Iteration: 1075 bestvalit: 31.702332 bestmemit: -9.620375 0.024142 0.019374 0.013385 -2.509889 0.050462 0.050262 0.375931 0.649950 0.879728 0.855037 1.000000 0.143565 0.035809 0.005164 0.999943
#> Iteration: 1100 bestvalit: 31.694213 bestmemit: -8.300662 0.024132 0.019344 0.013361 -2.509519 0.050336 0.050276 0.373582 0.647275 0.879669 0.853651 1.000000 0.142151 0.035330 0.000007 0.998907
#> Iteration: 1125 bestvalit: 31.693841 bestmemit: -7.469386 0.024150 0.019365 0.013384 -2.509821 0.050338 0.050276 0.375036 0.646787 0.879990 0.854266 1.000000 0.143445 0.035566 0.000001 0.998893
#> Iteration: 1150 bestvalit: 31.693771 bestmemit: -7.806180 0.024145 0.019363 0.013377 -2.509796 0.050340 0.050274 0.375343 0.647006 0.879894 0.855012 1.000000 0.143344 0.035626 0.000001 0.998897
#> Iteration: 1175 bestvalit: 31.693765 bestmemit: -8.013442 0.024146 0.019365 0.013378 -2.509824 0.050341 0.050275 0.375302 0.646977 0.879835 0.854961 1.000000 0.143286 0.035606 0.000000 0.998897
#> Iteration: 1200 bestvalit: 31.693762 bestmemit: -8.001310 0.024147 0.019365 0.013380 -2.509832 0.050341 0.050275 0.375363 0.646888 0.879878 0.855115 1.000000 0.143342 0.035639 0.000000 0.998896
#> Iteration: 1225 bestvalit: 31.693730 bestmemit: -8.042395 0.024147 0.019366 0.013383 -2.509824 0.050341 0.050274 0.375516 0.646962 0.879995 0.855502 1.000000 0.143124 0.035601 0.000002 0.998932
#> Iteration: 1250 bestvalit: 31.692877 bestmemit: -9.680754 0.024150 0.019373 0.013403 -2.509913 0.050332 0.050274 0.376262 0.646800 0.880176 0.854042 1.000000 0.144040 0.035981 0.000055 0.999966
#> Iteration: 1275 bestvalit: 31.692426 bestmemit: -9.506043 0.024139 0.019357 0.013378 -2.509726 0.050337 0.050274 0.375752 0.645671 0.880141 0.855049 1.000000 0.143546 0.035575 0.000055 0.999998
#> Iteration: 1300 bestvalit: 31.692377 bestmemit: -9.305266 0.024146 0.019362 0.013379 -2.509802 0.050335 0.050273 0.375399 0.646408 0.879934 0.855240 1.000000 0.143325 0.035567 0.000055 1.000000
#> Iteration: 1325 bestvalit: 31.692356 bestmemit: -9.748348 0.024146 0.019363 0.013376 -2.509808 0.050334 0.050273 0.375435 0.646535 0.879941 0.855125 1.000000 0.143372 0.035607 0.000053 1.000000
#> Iteration: 1350 bestvalit: 31.692352 bestmemit: -9.823809 0.024148 0.019365 0.013377 -2.509825 0.050334 0.050273 0.375359 0.646651 0.879882 0.855195 1.000000 0.143326 0.035652 0.000052 1.000000
#> Iteration: 1375 bestvalit: 31.692253 bestmemit: -9.442257 0.024147 0.019364 0.013374 -2.509839 0.050328 0.050271 0.375167 0.647714 0.879867 0.855262 1.000000 0.143118 0.035543 0.000040 0.999999
#> Iteration: 1400 bestvalit: 31.691755 bestmemit: -8.362206 0.024151 0.019368 0.013379 -2.509882 0.050321 0.050272 0.375345 0.646787 0.880010 0.855183 1.000000 0.143488 0.035440 0.000000 0.999993
#> Iteration: 1425 bestvalit: 31.691734 bestmemit: -8.166863 0.024145 0.019362 0.013378 -2.509797 0.050322 0.050272 0.375559 0.646481 0.880033 0.855361 1.000000 0.143390 0.035545 0.000000 0.999994
#> Iteration: 1450 bestvalit: 31.691729 bestmemit: -8.141851 0.024147 0.019363 0.013378 -2.509812 0.050321 0.050272 0.375483 0.646630 0.880002 0.855226 1.000000 0.143400 0.035530 0.000000 0.999995
#> Iteration: 1475 bestvalit: 31.691726 bestmemit: -8.326129 0.024147 0.019363 0.013379 -2.509810 0.050321 0.050272 0.375577 0.646463 0.879976 0.855223 1.000000 0.143434 0.035547 0.000000 0.999996
#> Iteration: 1500 bestvalit: 31.691721 bestmemit: -8.010697 0.024146 0.019363 0.013382 -2.509810 0.050321 0.050272 0.375744 0.646264 0.879887 0.855209 1.000000 0.143446 0.035521 0.000000 0.999999
#> Iteration: 1525 bestvalit: 31.691714 bestmemit: -8.004695 0.024145 0.019361 0.013378 -2.509786 0.050321 0.050272 0.375589 0.646398 0.879959 0.855250 1.000000 0.143435 0.035570 0.000000 1.000000
#> Iteration: 1550 bestvalit: 31.691713 bestmemit: -8.010590 0.024146 0.019363 0.013379 -2.509809 0.050321 0.050272 0.375545 0.646493 0.879958 0.855218 1.000000 0.143441 0.035529 0.000000 1.000000
#> ... Finished Calibration.
#> Best solution: 31.6917129319883
#>
#> ... Doing Calibration Trial 7 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6917129319883
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 76.024901 bestmemit: -3.839392 0.015472 0.175873 0.239374 -2.451274 0.273440 0.634335 0.394008 0.732325 0.927219 0.660759 0.111889 0.090776 0.526430 0.444606 0.628199
#> Iteration: 50 bestvalit: 60.631152 bestmemit: -3.432118 0.321972 0.031431 0.021164 -2.711161 0.383786 0.203825 0.469300 0.637668 0.899812 0.637530 0.494276 0.033327 0.306188 0.341969 0.986930
#> Iteration: 75 bestvalit: 58.870952 bestmemit: -7.314678 0.228774 0.013548 0.218625 -2.438048 0.307286 0.233458 0.599296 0.609675 0.943505 0.689936 0.499876 0.004978 0.424325 0.593506 0.625876
#> Iteration: 100 bestvalit: 49.921915 bestmemit: -5.535856 0.013603 0.012204 0.065336 -2.416522 0.215218 0.450655 0.345900 0.953179 0.928331 0.496577 0.579060 0.075704 0.447655 0.643672 0.199647
#> Iteration: 125 bestvalit: 41.984468 bestmemit: -7.534597 0.017482 0.014195 -0.297565 -2.474408 0.133428 0.525310 0.238927 0.982522 0.933532 0.449641 0.602006 0.063743 0.373701 0.893611 0.341919
#> Iteration: 150 bestvalit: 37.810124 bestmemit: -9.245832 0.017576 0.010872 0.007776 -2.465501 0.128090 0.465377 0.282558 0.970688 0.935055 0.521060 0.430741 0.085127 0.460090 0.692385 0.320258
#> Iteration: 175 bestvalit: 37.503419 bestmemit: -6.578836 0.016985 0.010424 0.010490 -2.462468 0.119567 0.411875 0.363565 0.967096 0.818463 0.997080 0.752768 0.030455 0.387357 0.958236 0.114548
#> Iteration: 200 bestvalit: 36.510223 bestmemit: -8.568279 0.017213 0.010566 0.015427 -2.462766 0.132818 0.559758 0.064854 0.960178 0.914636 0.706786 0.518827 0.019019 0.237391 0.680277 0.133643
#> Iteration: 225 bestvalit: 35.681165 bestmemit: -6.841459 0.017054 0.010248 0.014750 -2.457836 0.126488 0.449827 0.051790 0.944209 0.796170 0.800215 0.377448 0.013877 0.292857 0.563692 0.262184
#> Iteration: 250 bestvalit: 33.842931 bestmemit: -6.630472 0.022424 0.013037 0.018789 -2.506562 0.077149 0.408907 0.052296 0.793285 0.766916 0.824421 0.351387 0.017830 0.200179 0.080325 0.263197
#> Iteration: 275 bestvalit: 32.018062 bestmemit: -4.850184 0.023881 0.012938 0.019256 -2.508050 0.050535 0.391851 0.050886 0.655379 0.833901 0.881286 0.028305 0.053212 0.124518 0.006820 0.076082
#> Iteration: 300 bestvalit: 31.801408 bestmemit: -5.291347 0.023752 0.013218 0.019040 -2.505199 0.050302 0.394060 0.050205 0.615620 0.867094 0.880427 0.000800 0.036035 0.147104 0.010391 0.053723
#> Iteration: 325 bestvalit: 31.687470 bestmemit: -8.168715 0.024158 0.013183 0.019329 -2.509087 0.050090 0.376550 0.050062 0.637589 0.841110 0.873878 0.005014 0.028834 0.145680 0.000143 0.001076
#> Iteration: 350 bestvalit: 31.671403 bestmemit: -7.453424 0.024146 0.013357 0.019388 -2.510051 0.050071 0.375844 0.050023 0.636418 0.850931 0.880243 0.003273 0.033276 0.144351 0.001893 0.001543
#> Iteration: 375 bestvalit: 31.660912 bestmemit: -7.870956 0.024106 0.013333 0.019328 -2.509266 0.050017 0.379007 0.050016 0.644999 0.852751 0.879934 0.000343 0.035697 0.143534 0.000049 0.000466
#> Iteration: 400 bestvalit: 31.658672 bestmemit: -8.242975 0.024152 0.013362 0.019348 -2.509545 0.050007 0.375718 0.050002 0.639226 0.853380 0.880364 0.000345 0.034403 0.144218 0.000207 0.000179
#> Iteration: 425 bestvalit: 31.657320 bestmemit: -8.077882 0.024189 0.013388 0.019397 -2.510317 0.050001 0.376026 0.050002 0.642730 0.852961 0.879670 0.000022 0.034946 0.144590 0.000045 0.000023
#> Iteration: 450 bestvalit: 31.657047 bestmemit: -7.925217 0.024160 0.013375 0.019373 -2.509971 0.050001 0.376224 0.050000 0.640519 0.853238 0.879605 0.000008 0.034427 0.144976 0.000012 0.000092
#> Iteration: 475 bestvalit: 31.656840 bestmemit: -8.152481 0.024154 0.013368 0.019366 -2.509847 0.050000 0.375711 0.050000 0.641695 0.853075 0.879466 0.000029 0.034681 0.144025 0.000000 0.000000
#> Iteration: 500 bestvalit: 31.656764 bestmemit: -8.234773 0.024148 0.013367 0.019362 -2.509803 0.050000 0.375400 0.050000 0.641854 0.853435 0.879634 0.000006 0.034810 0.144257 0.000005 0.000002
#> Iteration: 525 bestvalit: 31.656745 bestmemit: -8.114630 0.024149 0.013368 0.019364 -2.509816 0.050000 0.375407 0.050000 0.641633 0.853502 0.879493 0.000006 0.034940 0.144313 0.000001 0.000001
#> Iteration: 550 bestvalit: 31.656737 bestmemit: -8.167129 0.024148 0.013364 0.019363 -2.509808 0.050000 0.375409 0.050000 0.641665 0.853203 0.879358 0.000001 0.034841 0.144252 0.000000 0.000002
#> Iteration: 575 bestvalit: 31.656731 bestmemit: -8.536589 0.024148 0.013365 0.019363 -2.509808 0.050000 0.375273 0.050000 0.641532 0.853430 0.879443 0.000000 0.034899 0.144249 0.000000 0.000000
#> Iteration: 600 bestvalit: 31.656730 bestmemit: -8.692289 0.024149 0.013366 0.019363 -2.509813 0.050000 0.375307 0.050000 0.641548 0.853462 0.879421 0.000000 0.034885 0.144222 0.000000 0.000000
#> Iteration: 625 bestvalit: 31.656729 bestmemit: -8.656680 0.024149 0.013366 0.019363 -2.509815 0.050000 0.375323 0.050000 0.641554 0.853400 0.879431 0.000000 0.034885 0.144245 0.000000 0.000000
#> ... Finished Calibration.
#> Best solution: 31.656729235082
#>
#> ... Doing Calibration Trial 8 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.656729235082
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 82.427693 bestmemit: -3.175451 0.006917 0.081853 -0.299330 -2.399305 0.603903 0.433704 0.535538 0.797019 0.803736 0.700340 0.433794 0.331059 0.292892 0.041579 0.080652
#> Iteration: 50 bestvalit: 55.641394 bestmemit: -7.475455 0.014482 0.169806 -0.172237 -2.454500 0.486667 0.688481 0.451235 0.972818 0.602433 0.616854 0.354185 0.492406 0.315748 0.365799 0.238015
#> Iteration: 75 bestvalit: 52.949048 bestmemit: -7.522560 0.015314 0.258165 -0.498235 -2.477824 0.415685 0.667238 0.551163 0.992833 0.599042 0.734827 0.444917 0.176104 0.279734 0.820242 0.459709
#> Iteration: 100 bestvalit: 48.772392 bestmemit: -3.879530 0.014125 0.008324 -0.359675 -2.438327 0.284047 0.497663 0.413748 0.989239 0.650767 0.886077 0.833595 0.049364 0.214337 0.705987 0.303104
#> Iteration: 125 bestvalit: 42.515252 bestmemit: -3.299457 0.016069 0.153237 0.012223 -2.442328 0.097276 0.211724 0.615710 0.977642 0.828994 0.969153 0.182798 0.427298 0.058375 0.840404 0.049612
#> Iteration: 150 bestvalit: 41.710379 bestmemit: -4.029689 0.015979 0.342333 0.010155 -2.440467 0.112239 0.231034 0.422976 0.970376 0.320305 0.867208 0.024894 0.541035 0.158664 0.907139 0.475610
#> Iteration: 175 bestvalit: 38.413806 bestmemit: -4.937825 0.016653 0.012913 0.010710 -2.461488 0.112293 0.346777 0.573753 0.981745 0.766626 0.920951 0.592171 0.405181 0.021103 0.557326 0.743454
#> Iteration: 200 bestvalit: 37.485023 bestmemit: -4.699043 0.015748 0.008956 0.008715 -2.450333 0.117415 0.488389 0.422172 0.955061 0.500007 0.988197 0.137678 0.509952 0.126764 0.787326 0.340997
#> Iteration: 225 bestvalit: 37.114358 bestmemit: -5.119619 0.016353 0.012752 0.009601 -2.451579 0.109419 0.323698 0.380103 0.940881 0.746867 0.975012 0.648553 0.228319 0.137280 0.937978 0.616414
#> Iteration: 250 bestvalit: 36.850845 bestmemit: -6.015348 0.018307 0.015911 0.010619 -2.475169 0.113278 0.066646 0.394162 0.947172 0.842886 0.948353 0.632886 0.285025 0.101580 0.834253 0.516769
#> Iteration: 275 bestvalit: 36.492095 bestmemit: -7.224484 0.019668 0.017004 0.011827 -2.483673 0.105201 0.051117 0.449822 0.923754 0.720131 0.936795 0.870835 0.181438 0.155374 0.807307 0.763366
#> Iteration: 300 bestvalit: 36.388999 bestmemit: -4.755469 0.018545 0.016640 0.010389 -2.475293 0.116455 0.057325 0.436384 0.933090 0.678084 0.950189 0.916498 0.096049 0.096830 0.908040 0.814412
#> Iteration: 325 bestvalit: 35.236629 bestmemit: -5.468108 0.017739 0.015603 0.009058 -2.466991 0.128830 0.051458 0.468390 0.942326 0.794502 0.859206 0.651104 0.143907 0.030211 0.238112 0.875041
#> Iteration: 350 bestvalit: 33.631565 bestmemit: -5.271385 0.021410 0.017575 0.011589 -2.489459 0.066527 0.051303 0.347440 0.836840 0.870095 0.869848 0.731298 0.156869 0.040537 0.039031 0.892218
#> Iteration: 375 bestvalit: 32.309114 bestmemit: -7.022762 0.024003 0.019148 0.013491 -2.506126 0.051216 0.050090 0.411036 0.722238 0.862964 0.820744 0.947119 0.118713 0.021165 0.038469 0.928700
#> Iteration: 400 bestvalit: 31.949249 bestmemit: -5.559839 0.024281 0.019449 0.013589 -2.511987 0.050097 0.050668 0.428995 0.688291 0.884364 0.861131 0.985215 0.133668 0.036210 0.046337 0.987553
#> Iteration: 425 bestvalit: 31.786896 bestmemit: -5.473453 0.024122 0.019407 0.013651 -2.510443 0.050736 0.050240 0.379953 0.674880 0.877640 0.873906 0.994101 0.145825 0.040081 0.004708 0.980365
#> Iteration: 450 bestvalit: 31.697664 bestmemit: -5.695487 0.024160 0.019340 0.013530 -2.509898 0.050135 0.050009 0.384578 0.647213 0.881067 0.854969 0.995695 0.138832 0.036020 0.003150 0.988835
#> Iteration: 475 bestvalit: 31.673278 bestmemit: -7.349693 0.024148 0.019356 0.013440 -2.510066 0.050174 0.050006 0.375691 0.638845 0.875488 0.853284 0.999163 0.148014 0.036651 0.003146 0.999382
#> Iteration: 500 bestvalit: 31.663959 bestmemit: -8.709674 0.024139 0.019347 0.013388 -2.509617 0.050018 0.050035 0.375365 0.638722 0.878755 0.853059 0.998628 0.147022 0.034445 0.000260 0.999586
#> Iteration: 525 bestvalit: 31.659896 bestmemit: -9.317651 0.024138 0.019347 0.013371 -2.509628 0.050011 0.050010 0.376143 0.642619 0.880612 0.856210 0.999490 0.145209 0.036337 0.000102 0.999664
#> Iteration: 550 bestvalit: 31.657901 bestmemit: -9.712300 0.024128 0.019350 0.013344 -2.509574 0.050002 0.050000 0.374225 0.639478 0.880689 0.853153 0.999890 0.145231 0.035414 0.000178 0.999832
#> Iteration: 575 bestvalit: 31.657302 bestmemit: -9.313733 0.024147 0.019360 0.013358 -2.509736 0.050003 0.050000 0.376390 0.641521 0.879923 0.853342 0.999873 0.144313 0.034698 0.000038 0.999896
#> Iteration: 600 bestvalit: 31.656962 bestmemit: -8.230676 0.024139 0.019356 0.013347 -2.509706 0.050001 0.050000 0.375293 0.641715 0.879455 0.853062 0.999996 0.144580 0.035113 0.000003 0.999919
#> Iteration: 625 bestvalit: 31.656831 bestmemit: -9.213736 0.024147 0.019361 0.013370 -2.509761 0.050000 0.050000 0.374966 0.641705 0.879557 0.853288 0.999989 0.143993 0.034836 0.000008 0.999991
#> Iteration: 650 bestvalit: 31.656768 bestmemit: -9.748970 0.024147 0.019360 0.013363 -2.509770 0.050000 0.050000 0.375238 0.641472 0.879303 0.853326 0.999997 0.144236 0.034822 0.000000 0.999986
#> Iteration: 675 bestvalit: 31.656748 bestmemit: -9.333374 0.024150 0.019364 0.013368 -2.509823 0.050000 0.050000 0.375494 0.641475 0.879356 0.853701 1.000000 0.144347 0.034910 0.000007 0.999999
#> Iteration: 700 bestvalit: 31.656736 bestmemit: -9.433086 0.024147 0.019361 0.013363 -2.509778 0.050000 0.050000 0.375306 0.641652 0.879379 0.853355 1.000000 0.144245 0.034770 0.000000 1.000000
#> Iteration: 725 bestvalit: 31.656732 bestmemit: -8.653248 0.024149 0.019364 0.013367 -2.509819 0.050000 0.050000 0.375356 0.641546 0.879402 0.853359 0.999999 0.144279 0.034805 0.000000 1.000000
#> Iteration: 750 bestvalit: 31.656730 bestmemit: -8.332565 0.024149 0.019364 0.013367 -2.509826 0.050000 0.050000 0.375340 0.641576 0.879424 0.853407 1.000000 0.144244 0.034865 0.000000 1.000000
#> Iteration: 775 bestvalit: 31.656730 bestmemit: -8.676020 0.024149 0.019364 0.013366 -2.509817 0.050000 0.050000 0.375325 0.641573 0.879404 0.853404 1.000000 0.144244 0.034882 0.000000 1.000000
#> ... Finished Calibration.
#> Best solution: 31.656729436875
#>
#> ... Doing Calibration Trial 9 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.656729235082
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 99.800528 bestmemit: -1.148983 -0.007259 0.198400 0.001917 -2.210726 0.288640 0.561454 0.219905 0.527022 0.834741 0.751764 0.993847 0.012574 0.169329 0.740345 0.577373
#> Iteration: 50 bestvalit: 54.447840 bestmemit: -3.297270 0.017697 0.465357 0.023090 -2.483845 0.258128 0.271774 0.437927 0.997564 0.785077 0.790768 0.770571 0.271418 0.411419 0.620650 0.073467
#> Iteration: 75 bestvalit: 53.748641 bestmemit: -4.302934 0.009017 0.094780 -0.150922 -2.388053 0.282605 0.477469 0.687059 0.987200 0.780346 0.656697 0.519752 0.372375 0.492107 0.560486 0.168226
#> Iteration: 100 bestvalit: 47.840546 bestmemit: -6.840522 0.014084 -0.010136 0.008258 -2.447795 0.185317 0.600633 0.485110 0.998170 0.361389 0.974712 0.051456 0.442072 0.318067 0.297833 0.585927
#> Iteration: 125 bestvalit: 42.059044 bestmemit: -3.842387 0.019338 0.418049 0.012389 -2.506992 0.161660 0.129431 0.461367 0.977134 0.627679 0.967512 0.253304 0.414834 0.027738 0.354654 0.454560
#> Iteration: 150 bestvalit: 39.463590 bestmemit: -3.221650 0.014343 -0.429767 0.006927 -2.430124 0.116427 0.465232 0.457194 0.975667 0.465749 0.927054 0.196265 0.615467 0.100378 0.827813 0.169577
#> Iteration: 175 bestvalit: 37.484032 bestmemit: -3.686993 0.017087 0.008477 0.010244 -2.459800 0.122489 0.217214 0.466352 0.934916 0.398142 0.953055 0.439688 0.344407 0.080933 0.723549 0.888100
#> Iteration: 200 bestvalit: 37.057824 bestmemit: -4.779345 0.015208 0.012923 0.008507 -2.440702 0.126728 0.088762 0.494372 0.950970 0.189680 0.921955 0.070736 0.584333 0.059549 0.811419 0.789750
#> Iteration: 225 bestvalit: 36.572925 bestmemit: -5.523633 0.016538 0.007062 0.009505 -2.457188 0.122268 0.082901 0.489661 0.957124 0.450302 0.971645 0.720332 0.496806 0.058862 0.893554 0.034817
#> Iteration: 250 bestvalit: 36.321128 bestmemit: -4.951314 0.016637 0.009860 0.009467 -2.456538 0.110131 0.188976 0.491846 0.957080 0.508598 0.959520 0.951039 0.549629 0.014013 0.997954 0.600877
#> Iteration: 275 bestvalit: 36.118252 bestmemit: -5.265201 0.017382 0.011649 0.010212 -2.465587 0.105354 0.178570 0.439989 0.935094 0.729653 0.991826 0.998956 0.454373 0.021590 0.988961 0.084994
#> Iteration: 300 bestvalit: 35.998354 bestmemit: -5.832735 0.018496 0.013416 0.011028 -2.476631 0.105007 0.185524 0.451924 0.913623 0.850926 0.965454 0.995822 0.364723 0.003295 0.992614 0.805339
#> Iteration: 325 bestvalit: 35.981648 bestmemit: -5.766558 0.018278 0.013415 0.010946 -2.473469 0.103256 0.181165 0.449877 0.911574 0.859220 0.981879 0.999968 0.369038 0.007316 0.998631 0.845393
#> Iteration: 350 bestvalit: 35.974796 bestmemit: -6.792079 0.018123 0.013337 0.010837 -2.471223 0.103992 0.178376 0.445096 0.909561 0.857909 0.999549 0.999983 0.375423 0.023948 0.999866 0.644140
#> Iteration: 375 bestvalit: 35.973855 bestmemit: -7.640130 0.018128 0.013206 0.010827 -2.471501 0.104052 0.178612 0.444180 0.910988 0.849862 0.999623 0.999947 0.383937 0.022616 0.999893 0.387545
#> Iteration: 400 bestvalit: 35.973406 bestmemit: -8.220521 0.018109 0.013227 0.010842 -2.471321 0.104321 0.178702 0.444231 0.910733 0.850877 0.999973 0.999999 0.383302 0.022666 0.999931 0.491048
#> Iteration: 425 bestvalit: 35.973310 bestmemit: -8.876111 0.018117 0.013228 0.010841 -2.471364 0.104360 0.178149 0.443455 0.910678 0.850506 0.999982 0.999999 0.383288 0.022835 0.999992 0.810423
#> Iteration: 450 bestvalit: 35.973287 bestmemit: -8.162243 0.018121 0.013230 0.010844 -2.471412 0.104313 0.178171 0.444215 0.910708 0.850420 0.999996 0.999999 0.383451 0.022791 0.999999 0.687005
#> Iteration: 475 bestvalit: 35.973279 bestmemit: -9.448069 0.018118 0.013226 0.010843 -2.471387 0.104369 0.178238 0.444319 0.910845 0.850080 0.999999 1.000000 0.383611 0.022814 0.999998 0.805303
#> Iteration: 500 bestvalit: 35.973277 bestmemit: -9.365056 0.018118 0.013225 0.010843 -2.471391 0.104374 0.178268 0.444316 0.910900 0.850094 1.000000 1.000000 0.383520 0.022874 1.000000 0.442596
#> Iteration: 525 bestvalit: 35.973277 bestmemit: -9.425641 0.018118 0.013224 0.010843 -2.471388 0.104380 0.178282 0.444257 0.910939 0.850051 1.000000 1.000000 0.383512 0.022849 1.000000 0.328056
#> ... Finished Calibration.
#> Best solution: 35.9732770500573
#>
#> ... Doing Calibration Trial 10 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.656729235082
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 75.192621 bestmemit: -5.310738 0.036057 -0.005235 -0.345319 -2.860233 0.467080 0.581945 0.232616 0.990936 0.754285 0.499912 0.180514 0.381009 0.202055 0.164659 0.740378
#> Iteration: 50 bestvalit: 61.656594 bestmemit: -4.207537 0.024637 0.223565 0.239121 -2.597024 0.382307 0.649323 0.344115 0.937621 0.745114 0.502627 0.983904 0.350670 0.198062 0.837356 0.992388
#> Iteration: 75 bestvalit: 54.024329 bestmemit: -7.131031 0.018001 -0.478062 0.429946 -2.520136 0.370985 0.269242 0.237222 0.993152 0.805299 0.273048 0.979139 0.279892 0.449528 0.853702 0.852264
#> Iteration: 100 bestvalit: 50.294031 bestmemit: -9.436655 0.015946 -0.000166 -0.003383 -2.466323 0.336490 0.417302 0.206445 0.946097 0.681665 0.562308 0.536231 0.443030 0.373989 0.845138 0.192108
#> Iteration: 125 bestvalit: 47.203676 bestmemit: -4.413691 0.013494 0.010442 -0.001583 -2.402526 0.197608 0.246885 0.298552 0.901120 0.804926 0.419545 0.683857 0.207565 0.455780 0.314572 0.993188
#> Iteration: 150 bestvalit: 45.703303 bestmemit: -6.423369 0.015499 0.005534 -0.227138 -2.438991 0.194393 0.426886 0.238607 0.903969 0.955897 0.357896 0.515981 0.278488 0.442044 0.290661 0.724482
#> Iteration: 175 bestvalit: 38.527207 bestmemit: -3.726084 0.017727 0.010072 0.004610 -2.474593 0.138370 0.450425 0.333721 0.976612 0.943957 0.242121 0.693495 0.017512 0.440162 0.610092 0.049349
#> Iteration: 200 bestvalit: 38.403622 bestmemit: -4.560175 0.015521 0.009682 -0.028422 -2.443072 0.140293 0.426066 0.538872 0.964309 0.977616 0.267404 0.840973 0.054057 0.438598 0.656924 0.211534
#> Iteration: 225 bestvalit: 37.635269 bestmemit: -4.644554 0.016517 0.009709 0.012925 -2.451849 0.128998 0.475016 0.341702 0.972659 0.977780 0.156762 0.642491 0.061192 0.155588 0.716697 0.123356
#> Iteration: 250 bestvalit: 37.007010 bestmemit: -4.483676 0.017129 0.011313 0.006134 -2.465422 0.128843 0.444874 0.068752 0.949535 0.971770 0.183896 0.599832 0.088058 0.501271 0.822928 0.782577
#> Iteration: 275 bestvalit: 36.303120 bestmemit: -5.550979 0.016464 0.009665 0.011432 -2.454755 0.121202 0.413898 0.332790 0.937055 0.990336 0.395537 0.091252 0.024124 0.758743 0.993151 0.683777
#> Iteration: 300 bestvalit: 36.165656 bestmemit: -5.893972 0.016726 0.009907 0.010147 -2.457231 0.116474 0.448726 0.205450 0.942872 0.988376 0.401431 0.012249 0.023220 0.690974 0.988909 0.971090
#> Iteration: 325 bestvalit: 36.106171 bestmemit: -5.446936 0.016607 0.009538 0.010414 -2.455923 0.117123 0.458534 0.203702 0.933922 0.992710 0.408816 0.004487 0.028758 0.625826 0.996579 0.107547
#> Iteration: 350 bestvalit: 36.013020 bestmemit: -5.543814 0.017725 0.010578 0.012978 -2.467463 0.106826 0.458426 0.197067 0.914292 0.985609 0.855435 0.001428 0.020222 0.370319 0.996506 0.479878
#> Iteration: 375 bestvalit: 35.982848 bestmemit: -6.741604 0.018148 0.010837 0.013244 -2.471916 0.104037 0.448869 0.181948 0.912231 0.988806 0.860260 0.002163 0.014968 0.367555 0.999854 0.581815
#> Iteration: 400 bestvalit: 35.974989 bestmemit: -8.525504 0.018132 0.010851 0.013290 -2.471379 0.104910 0.444023 0.178603 0.909467 0.998746 0.851393 0.000096 0.021012 0.382229 0.999566 0.435120
#> Iteration: 425 bestvalit: 35.973877 bestmemit: -8.419508 0.018094 0.010801 0.013256 -2.471068 0.104565 0.444012 0.177191 0.910008 0.999784 0.851020 0.000044 0.023469 0.382586 0.999997 0.325042
#> Iteration: 450 bestvalit: 35.973447 bestmemit: -8.391811 0.018113 0.010845 0.013204 -2.471376 0.104390 0.445250 0.178636 0.911232 0.999939 0.848931 0.000018 0.023243 0.383500 0.999921 0.533439
#> Iteration: 475 bestvalit: 35.973349 bestmemit: -8.965432 0.018120 0.010850 0.013238 -2.471428 0.104547 0.444394 0.178566 0.911111 0.999997 0.850535 0.000001 0.022948 0.383164 0.999975 0.533978
#> Iteration: 500 bestvalit: 35.973300 bestmemit: -9.073042 0.018123 0.010849 0.013229 -2.471447 0.104367 0.444137 0.178155 0.910899 0.999985 0.850443 0.000000 0.022818 0.384324 0.999997 0.466219
#> Iteration: 525 bestvalit: 35.973281 bestmemit: -9.468721 0.018119 0.010844 0.013226 -2.471407 0.104399 0.444311 0.178460 0.910967 0.999999 0.850014 0.000000 0.022784 0.383449 0.999999 0.762853
#> Iteration: 550 bestvalit: 35.973278 bestmemit: -9.237412 0.018119 0.010844 0.013226 -2.471400 0.104374 0.444285 0.178284 0.910912 1.000000 0.850053 0.000000 0.022913 0.383685 1.000000 0.597654
#> Iteration: 575 bestvalit: 35.973277 bestmemit: -9.060279 0.018118 0.010843 0.013224 -2.471395 0.104381 0.444228 0.178246 0.910933 1.000000 0.850075 0.000000 0.022874 0.383541 1.000000 0.777798
#> ... Finished Calibration.
#> Best solution: 35.9732770796946
#>
#> ... Doing Calibration Trial 11 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.656729235082
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 61.925736 bestmemit: -6.854760 0.024891 -0.132627 -0.425203 -2.598283 0.391323 0.598555 0.411286 0.957971 0.640744 0.926263 0.395422 0.329661 0.233258 0.234238 0.537623
#> Iteration: 50 bestvalit: 48.881223 bestmemit: -8.899355 0.007896 -0.040413 0.001123 -2.364801 0.269913 0.528070 0.605798 0.983292 0.495732 0.914524 0.506403 0.397658 0.133229 0.385079 0.456862
#> Iteration: 75 bestvalit: 37.771151 bestmemit: -5.355946 0.015231 0.006334 0.008010 -2.442404 0.133725 0.546994 0.465465 0.949013 0.659545 0.987835 0.001718 0.305988 0.116216 0.669827 0.399642
#> Iteration: 100 bestvalit: 36.795085 bestmemit: -7.901205 0.016292 0.010244 0.009310 -2.451282 0.118087 0.267076 0.412096 0.961454 0.849211 0.997685 0.285222 0.336845 0.082160 0.988116 0.452106
#> Iteration: 125 bestvalit: 36.285638 bestmemit: -7.220778 0.016536 0.010438 0.009629 -2.453340 0.121439 0.239098 0.474924 0.956736 0.572401 0.999416 0.999777 0.525422 0.021324 0.991589 0.188082
#> Iteration: 150 bestvalit: 36.197073 bestmemit: -7.508943 0.016670 0.010053 0.009797 -2.456643 0.123029 0.187959 0.463263 0.955790 0.562344 0.999899 0.987521 0.520603 0.037095 0.999909 0.186594
#> Iteration: 175 bestvalit: 36.169170 bestmemit: -7.461796 0.016919 0.010307 0.009976 -2.459911 0.120716 0.194759 0.451505 0.948410 0.601508 0.999979 0.948779 0.554191 0.029131 0.999904 0.093744
#> Iteration: 200 bestvalit: 36.100126 bestmemit: -7.733014 0.016679 0.010522 0.009733 -2.457158 0.118374 0.174438 0.471454 0.942420 0.635581 0.999925 0.996005 0.525630 0.025821 0.999649 0.066188
#> Iteration: 225 bestvalit: 36.030634 bestmemit: -6.000507 0.017218 0.012149 0.010059 -2.462078 0.108986 0.190186 0.444471 0.915475 0.752105 0.999501 0.999855 0.503708 0.028715 0.999023 0.510104
#> Iteration: 250 bestvalit: 36.021544 bestmemit: -6.787610 0.017270 0.012373 0.010062 -2.461867 0.108098 0.183525 0.439556 0.911927 0.782464 0.999996 0.999747 0.477092 0.031822 0.998591 0.750093
#> Iteration: 275 bestvalit: 36.020656 bestmemit: -6.682592 0.017285 0.012355 0.010081 -2.462042 0.107763 0.184642 0.440617 0.913161 0.781246 0.999994 0.999996 0.475402 0.033211 0.998534 0.992299
#> Iteration: 300 bestvalit: 36.020460 bestmemit: -6.791004 0.017290 0.012345 0.010077 -2.462157 0.108034 0.184984 0.441772 0.913708 0.779099 1.000000 0.999999 0.478181 0.033062 0.998568 0.996294
#> Iteration: 325 bestvalit: 36.018225 bestmemit: -6.360627 0.017335 0.012379 0.010115 -2.462508 0.107557 0.185955 0.437792 0.915029 0.783647 0.999972 0.999999 0.473632 0.032116 0.998792 0.848010
#> Iteration: 350 bestvalit: 36.006458 bestmemit: -6.110077 0.017451 0.012266 0.010216 -2.463742 0.107864 0.176215 0.436770 0.915690 0.805346 0.999868 0.999997 0.455156 0.027711 0.999849 0.330606
#> Iteration: 375 bestvalit: 35.989423 bestmemit: -9.516146 0.017693 0.012818 0.010485 -2.466314 0.106171 0.174268 0.444208 0.913454 0.836556 0.999638 1.000000 0.414620 0.027183 0.999957 0.796371
#> Iteration: 400 bestvalit: 35.981139 bestmemit: -7.426301 0.017823 0.013076 0.010605 -2.467838 0.104968 0.181979 0.446995 0.908653 0.844556 0.999415 1.000000 0.399353 0.025771 0.999493 0.771319
#> Iteration: 425 bestvalit: 35.976066 bestmemit: -6.835472 0.018001 0.013064 0.010723 -2.470088 0.104537 0.180370 0.444426 0.911923 0.843281 0.999085 1.000000 0.386767 0.023799 0.997243 0.970684
#> Iteration: 450 bestvalit: 35.974973 bestmemit: -7.891808 0.018078 0.013173 0.010794 -2.470912 0.104594 0.178962 0.443687 0.910966 0.849673 0.998998 0.999999 0.383943 0.023878 0.997545 0.998327
#> Iteration: 475 bestvalit: 35.973917 bestmemit: -8.029030 0.018117 0.013237 0.010840 -2.471361 0.104334 0.178900 0.446170 0.911202 0.850446 0.998888 0.999999 0.384549 0.021369 0.999987 0.507736
#> Iteration: 500 bestvalit: 35.973766 bestmemit: -9.664158 0.018124 0.013228 0.010853 -2.471490 0.104426 0.178512 0.444280 0.911206 0.849158 0.998905 0.999999 0.384719 0.021944 0.999998 0.848531
#> Iteration: 525 bestvalit: 35.973721 bestmemit: -8.625781 0.018119 0.013229 0.010841 -2.471413 0.104406 0.178554 0.444628 0.910979 0.850294 0.998922 0.999999 0.383091 0.022166 0.999987 0.957760
#> Iteration: 550 bestvalit: 35.973712 bestmemit: -8.667851 0.018119 0.013226 0.010841 -2.471408 0.104368 0.178714 0.444443 0.910878 0.850224 0.998930 0.999999 0.383393 0.022240 1.000000 0.786138
#> Iteration: 575 bestvalit: 35.973712 bestmemit: -9.367869 0.018119 0.013226 0.010841 -2.471407 0.104367 0.178689 0.444422 0.910876 0.850214 0.998931 0.999999 0.383481 0.022235 1.000000 0.894970
#> Iteration: 600 bestvalit: 35.973696 bestmemit: -8.260287 0.018121 0.013229 0.010845 -2.471434 0.104380 0.178894 0.444221 0.910913 0.850163 0.998981 1.000000 0.383367 0.022306 0.999993 0.975277
#> Iteration: 625 bestvalit: 35.973689 bestmemit: -8.045097 0.018121 0.013232 0.010845 -2.471436 0.104365 0.178707 0.444487 0.910891 0.850400 0.998991 1.000000 0.382888 0.022328 0.999992 0.988805
#> Iteration: 650 bestvalit: 35.973687 bestmemit: -8.336307 0.018121 0.013230 0.010842 -2.471432 0.104353 0.178633 0.444426 0.910894 0.850324 0.998991 1.000000 0.383184 0.022294 0.999993 0.992316
#> Iteration: 675 bestvalit: 35.973687 bestmemit: -8.258796 0.018121 0.013229 0.010842 -2.471424 0.104360 0.178639 0.444443 0.910891 0.850334 0.998991 1.000000 0.383226 0.022281 0.999994 0.999867
#> ... Finished Calibration.
#> Best solution: 35.9736870713833
#>
#> ... Doing Calibration Trial 12 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.656729235082
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 88.348333 bestmemit: -3.188309 0.044401 0.299368 -0.004688 -3.669013 0.722254 0.129878 0.244311 0.987321 0.350529 0.950813 0.751782 0.241266 0.282142 0.611089 0.082016
#> Iteration: 50 bestvalit: 72.961245 bestmemit: -5.255606 0.029490 0.470717 -0.068493 -2.752441 0.417863 0.430685 0.512065 0.920649 0.655127 0.899632 0.739749 0.467910 0.393769 0.691725 0.173347
#> Iteration: 75 bestvalit: 52.891596 bestmemit: -6.909369 0.017364 -0.039319 -0.379902 -2.499915 0.398695 0.235528 0.653880 0.994159 0.634577 0.972553 0.999428 0.288363 0.443051 0.523557 0.125920
#> Iteration: 100 bestvalit: 50.108281 bestmemit: -4.057021 0.015255 0.006857 -0.097461 -2.466688 0.316776 0.399931 0.670859 0.983421 0.744691 0.967192 0.795392 0.157264 0.487456 0.373698 0.102879
#> Iteration: 125 bestvalit: 46.470910 bestmemit: -3.755367 0.015149 0.007836 0.026809 -2.454391 0.226796 0.239263 0.729715 0.987377 0.722264 0.797656 0.415692 0.025599 0.452020 0.788610 0.386382
#> Iteration: 150 bestvalit: 42.424023 bestmemit: -3.129369 0.013506 0.010139 0.097794 -2.419698 0.175422 0.609985 0.612242 0.968446 0.981768 0.884663 0.437261 0.099315 0.583204 0.860485 0.219951
#> Iteration: 175 bestvalit: 38.612281 bestmemit: -5.304339 0.016843 0.009077 0.013760 -2.450143 0.113105 0.515930 0.475389 0.963996 0.960105 0.627942 0.537722 0.036407 0.410547 0.990833 0.190402
#> Iteration: 200 bestvalit: 38.327598 bestmemit: -5.952465 0.018429 0.012367 -0.188322 -2.476042 0.096610 0.457997 0.325985 0.960325 0.984547 0.229652 0.992113 0.107043 0.372123 0.997566 0.427132
#> Iteration: 225 bestvalit: 36.860783 bestmemit: -6.044013 0.015905 0.009966 0.013875 -2.446980 0.131942 0.394825 0.054666 0.950163 0.964322 0.543750 0.401631 0.123724 0.064922 0.763828 0.690374
#> Iteration: 250 bestvalit: 36.542770 bestmemit: -7.292058 0.017151 0.010754 0.015635 -2.464252 0.118245 0.458137 0.061823 0.953330 0.967138 0.843367 0.322512 0.074543 0.228017 0.791436 0.235598
#> Iteration: 275 bestvalit: 36.191272 bestmemit: -4.496723 0.017121 0.009717 0.014916 -2.460743 0.106822 0.448678 0.054922 0.942757 0.917814 0.723963 0.512142 0.086450 0.214918 0.746854 0.152106
#> Iteration: 300 bestvalit: 34.603652 bestmemit: -5.603717 0.019469 0.011457 0.016674 -2.482531 0.098357 0.369422 0.053249 0.902621 0.838328 0.878155 0.602298 0.039867 0.231893 0.020762 0.135857
#> Iteration: 325 bestvalit: 33.584952 bestmemit: -6.236973 0.022207 0.013121 0.018641 -2.509018 0.089566 0.374007 0.051275 0.865305 0.835559 0.853612 0.402305 0.084768 0.160596 0.002171 0.063031
#> Iteration: 350 bestvalit: 32.442438 bestmemit: -8.324095 0.025299 0.013842 0.020613 -2.530090 0.052000 0.392280 0.050158 0.679808 0.751186 0.846268 0.015460 0.039045 0.154452 0.043003 0.020428
#> Iteration: 375 bestvalit: 31.864486 bestmemit: -6.680939 0.024707 0.013815 0.019891 -2.516701 0.050018 0.392297 0.050123 0.604396 0.835799 0.886388 0.000558 0.024283 0.153747 0.001093 0.073007
#> Iteration: 400 bestvalit: 31.807801 bestmemit: -4.946401 0.024581 0.013644 0.019827 -2.515696 0.050130 0.370841 0.050426 0.610023 0.834260 0.878994 0.005740 0.030858 0.145458 0.016664 0.007956
#> Iteration: 425 bestvalit: 31.699679 bestmemit: -6.096328 0.024137 0.013495 0.019381 -2.509837 0.050230 0.371418 0.050033 0.638143 0.851226 0.872506 0.000304 0.029530 0.149885 0.004260 0.011580
#> Iteration: 450 bestvalit: 31.671864 bestmemit: -5.266361 0.024097 0.013329 0.019284 -2.508838 0.050007 0.368855 0.050042 0.644699 0.851071 0.878478 0.001125 0.033148 0.141513 0.000634 0.002066
#> Iteration: 475 bestvalit: 31.663957 bestmemit: -5.523162 0.024134 0.013342 0.019371 -2.509871 0.050013 0.374556 0.050009 0.641733 0.854148 0.876797 0.000137 0.033865 0.142824 0.001427 0.001204
#> Iteration: 500 bestvalit: 31.660020 bestmemit: -5.669422 0.024131 0.013368 0.019345 -2.509638 0.050004 0.374940 0.050015 0.642916 0.854965 0.879857 0.000282 0.035303 0.142581 0.000257 0.000049
#> Iteration: 525 bestvalit: 31.658262 bestmemit: -6.407821 0.024150 0.013357 0.019363 -2.509833 0.050003 0.375684 0.050001 0.638068 0.853301 0.879054 0.000262 0.033753 0.145063 0.000000 0.000319
#> Iteration: 550 bestvalit: 31.657355 bestmemit: -6.241491 0.024122 0.013345 0.019344 -2.509547 0.050001 0.375376 0.050000 0.640092 0.853225 0.879554 0.000025 0.035265 0.143542 0.000057 0.000033
#> Iteration: 575 bestvalit: 31.656999 bestmemit: -6.617869 0.024153 0.013373 0.019372 -2.509960 0.050001 0.375626 0.050000 0.642377 0.853865 0.879319 0.000026 0.035368 0.144191 0.000027 0.000022
#> Iteration: 600 bestvalit: 31.656826 bestmemit: -7.472130 0.024156 0.013377 0.019371 -2.509930 0.050001 0.375530 0.050000 0.641560 0.853701 0.879481 0.000004 0.034797 0.144349 0.000008 0.000016
#> Iteration: 625 bestvalit: 31.656761 bestmemit: -8.485916 0.024149 0.013367 0.019360 -2.509784 0.050000 0.375264 0.050000 0.641165 0.853127 0.879367 0.000001 0.034860 0.144310 0.000000 0.000006
#> Iteration: 650 bestvalit: 31.656741 bestmemit: -8.814375 0.024147 0.013366 0.019362 -2.509789 0.050000 0.375388 0.050000 0.641380 0.853430 0.879321 0.000001 0.034930 0.144291 0.000002 0.000001
#> Iteration: 675 bestvalit: 31.656735 bestmemit: -8.798575 0.024148 0.013364 0.019362 -2.509794 0.050000 0.375281 0.050000 0.641444 0.853269 0.879376 0.000001 0.034870 0.144257 0.000001 0.000001
#> Iteration: 700 bestvalit: 31.656731 bestmemit: -9.530867 0.024148 0.013366 0.019363 -2.509808 0.050000 0.375371 0.050000 0.641479 0.853394 0.879397 0.000000 0.034892 0.144230 0.000001 0.000000
#> Iteration: 725 bestvalit: 31.656730 bestmemit: -9.504485 0.024149 0.013367 0.019364 -2.509819 0.050000 0.375316 0.050000 0.641557 0.853382 0.879427 0.000000 0.034879 0.144236 0.000000 0.000000
#> Iteration: 750 bestvalit: 31.656729 bestmemit: -9.626244 0.024149 0.013366 0.019363 -2.509814 0.050000 0.375352 0.050000 0.641576 0.853429 0.879436 0.000000 0.034873 0.144241 0.000000 0.000000
#> Iteration: 775 bestvalit: 31.656729 bestmemit: -9.294407 0.024149 0.013366 0.019364 -2.509815 0.050000 0.375331 0.050000 0.641590 0.853401 0.879422 0.000000 0.034890 0.144237 0.000000 0.000000
#> ... Finished Calibration.
#> Best solution: 31.6567292825541
#>
#> ... Doing Calibration Trial 13 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.656729235082
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 94.386873 bestmemit: -4.953342 -0.319255 0.021276 -0.130234 -2.495283 0.356260 0.357376 0.167445 0.896639 0.890578 0.369032 0.608364 0.181099 0.259383 0.558916 0.491495
#> Iteration: 50 bestvalit: 57.928335 bestmemit: -7.169300 0.014708 0.014746 -0.275461 -2.415684 0.180820 0.659609 0.557974 0.882567 0.966835 0.499341 0.794146 0.089060 0.076943 0.588188 0.327399
#> Iteration: 75 bestvalit: 54.681307 bestmemit: -5.097792 0.021445 0.011732 -0.316870 -2.568208 0.281178 0.284397 0.588297 0.988751 0.864324 0.586630 0.589502 0.178333 0.280332 0.194253 0.252566
#> Iteration: 100 bestvalit: 54.484170 bestmemit: -6.208385 0.013376 0.048685 -0.384035 -2.449784 0.255403 0.352102 0.475533 0.976014 0.886785 0.598722 0.901251 0.144523 0.372129 0.685555 0.357798
#> Iteration: 125 bestvalit: 53.387204 bestmemit: -3.030262 0.017230 0.001443 -0.232178 -2.491082 0.444461 0.256202 0.398540 0.993577 0.847901 0.325232 0.827908 0.065399 0.502634 0.595744 0.875092
#> Iteration: 150 bestvalit: 46.601867 bestmemit: -4.649258 0.009948 0.004048 -0.080960 -2.380193 0.142541 0.352948 0.447246 0.880479 0.844564 0.709957 0.830082 0.046899 0.512739 0.832049 0.942578
#> Iteration: 175 bestvalit: 42.392480 bestmemit: -2.872369 0.016920 0.007422 -0.212607 -2.458523 0.168849 0.479900 0.520033 0.964917 0.874538 0.602900 0.856223 0.161015 0.592189 0.628042 0.250587
#> Iteration: 200 bestvalit: 38.741657 bestmemit: -4.290037 0.019308 0.013009 0.011452 -2.489266 0.116354 0.327159 0.168862 0.928247 0.972378 0.955528 0.832478 0.171297 0.288894 0.480910 0.856644
#> Iteration: 225 bestvalit: 37.154909 bestmemit: -4.263850 0.017479 0.010539 0.009411 -2.465591 0.106202 0.497151 0.236102 0.932324 0.986006 0.340377 0.037413 0.128756 0.256740 0.827023 0.412102
#> Iteration: 250 bestvalit: 36.804341 bestmemit: -5.818958 0.017359 0.009976 0.009975 -2.464217 0.106965 0.484568 0.313254 0.921659 0.987412 0.295515 0.074157 0.101313 0.541815 0.952278 0.628806
#> Iteration: 275 bestvalit: 36.251316 bestmemit: -5.667534 0.016749 0.009485 0.010214 -2.457091 0.118283 0.457167 0.200564 0.943397 0.989068 0.348035 0.091346 0.023798 0.742627 0.974363 0.504382
#> Iteration: 300 bestvalit: 36.134598 bestmemit: -6.588323 0.016275 0.009501 0.010255 -2.451362 0.116451 0.450604 0.213454 0.939817 0.990257 0.414325 0.006012 0.015354 0.600966 0.995264 0.518240
#> Iteration: 325 bestvalit: 36.092591 bestmemit: -8.053373 0.016567 0.009718 0.010488 -2.454836 0.114258 0.445080 0.182527 0.934051 0.997293 0.477053 0.000589 0.017605 0.608410 0.998775 0.740832
#> Iteration: 350 bestvalit: 36.010788 bestmemit: -6.682731 0.017727 0.010382 0.012708 -2.466202 0.104136 0.436939 0.180336 0.914052 0.998282 0.837559 0.001153 0.030396 0.424642 0.997620 0.533387
#> Iteration: 375 bestvalit: 35.977267 bestmemit: -7.873218 0.018160 0.010878 0.013321 -2.471837 0.104001 0.444261 0.177543 0.908545 0.998386 0.848482 0.000382 0.022328 0.390423 0.997779 0.447675
#> Iteration: 400 bestvalit: 35.974488 bestmemit: -8.343046 0.018159 0.010869 0.013287 -2.471873 0.104109 0.445177 0.177967 0.909682 0.998969 0.851392 0.000054 0.021999 0.385950 0.999211 0.212630
#> Iteration: 425 bestvalit: 35.973626 bestmemit: -8.345873 0.018129 0.010864 0.013250 -2.471522 0.104490 0.444404 0.178219 0.910098 0.999757 0.850123 0.000048 0.022910 0.385852 0.999992 0.212088
#> Iteration: 450 bestvalit: 35.973364 bestmemit: -8.024690 0.018130 0.010854 0.013234 -2.471545 0.104388 0.444527 0.178253 0.910871 0.999943 0.850381 0.000014 0.023037 0.383321 0.999954 0.241952
#> Iteration: 475 bestvalit: 35.973296 bestmemit: -8.450727 0.018116 0.010844 0.013229 -2.471358 0.104393 0.444381 0.178228 0.910768 0.999989 0.850668 0.000000 0.022788 0.383126 0.999988 0.320171
#> Iteration: 500 bestvalit: 35.973285 bestmemit: -8.074433 0.018114 0.010840 0.013216 -2.471340 0.104411 0.444496 0.178292 0.911037 0.999995 0.849701 0.000001 0.022891 0.383777 0.999999 0.481103
#> Iteration: 525 bestvalit: 35.973280 bestmemit: -8.601993 0.018119 0.010843 0.013223 -2.471392 0.104366 0.444343 0.178281 0.910913 0.999998 0.850124 0.000000 0.022857 0.383671 1.000000 0.700707
#> Iteration: 550 bestvalit: 35.973278 bestmemit: -8.327196 0.018118 0.010843 0.013223 -2.471390 0.104377 0.444254 0.178299 0.910928 0.999999 0.850037 0.000000 0.022846 0.383634 1.000000 0.090422
#> Iteration: 575 bestvalit: 35.973277 bestmemit: -8.654822 0.018118 0.010843 0.013224 -2.471397 0.104384 0.444239 0.178303 0.910946 1.000000 0.850040 0.000000 0.022868 0.383582 1.000000 0.449253
#> ... Finished Calibration.
#> Best solution: 35.9732770177407
#>
#> ... Doing Calibration Trial 14 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.656729235082
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 80.834872 bestmemit: -7.950257 -0.164172 0.003599 0.064334 -2.312260 0.086206 0.619712 0.508678 0.853919 0.890911 0.759685 0.627091 0.087532 0.347836 0.240886 0.211973
#> Iteration: 50 bestvalit: 53.063929 bestmemit: -3.627191 0.024274 0.319047 0.017303 -2.561593 0.355421 0.638513 0.486577 0.855501 0.964143 0.894220 0.000970 0.047232 0.397735 0.645587 0.790318
#> Iteration: 75 bestvalit: 41.182629 bestmemit: -3.683505 0.015427 0.292710 0.006359 -2.444712 0.127608 0.696625 0.375563 0.949406 0.820799 0.981681 0.099647 0.121004 0.440632 0.759959 0.127497
#> Iteration: 100 bestvalit: 39.082253 bestmemit: -3.398777 0.017911 0.216948 0.010243 -2.471791 0.106002 0.275567 0.358588 0.883769 0.740472 0.998746 0.001439 0.268571 0.387241 0.948530 0.649369
#> Iteration: 125 bestvalit: 38.946011 bestmemit: -3.495349 0.017774 0.182203 0.010136 -2.470853 0.108053 0.421107 0.346286 0.876718 0.748185 0.999926 0.000108 0.500571 0.372891 0.989684 0.629894
#> Iteration: 150 bestvalit: 38.415254 bestmemit: -3.845797 0.019466 0.137332 0.012452 -2.490569 0.097294 0.223356 0.335479 0.877748 0.987175 0.994427 0.001296 0.245425 0.256372 0.987781 0.404948
#> Iteration: 175 bestvalit: 36.332986 bestmemit: -5.198430 0.016314 0.009640 0.009457 -2.453189 0.114690 0.279629 0.405665 0.944060 0.542162 0.989913 0.778840 0.866013 0.019566 0.986735 0.554343
#> Iteration: 200 bestvalit: 35.873460 bestmemit: -5.657473 0.016329 0.004895 0.009798 -2.453162 0.119902 0.050596 0.430762 0.957312 0.370256 0.989392 0.746463 0.865968 0.002790 0.988620 0.793328
#> Iteration: 225 bestvalit: 35.727711 bestmemit: -5.830572 0.016121 0.004701 0.009412 -2.450426 0.118999 0.050772 0.420048 0.967295 0.588482 0.986866 0.705544 0.934396 0.000265 0.998678 0.678752
#> Iteration: 250 bestvalit: 35.621929 bestmemit: -7.323397 0.016243 0.004594 0.009301 -2.451683 0.124206 0.050345 0.419808 0.965646 0.984157 0.982331 0.625837 0.958324 0.000367 0.998769 0.273515
#> Iteration: 275 bestvalit: 35.570225 bestmemit: -8.308622 0.016121 0.004491 0.009313 -2.450443 0.122106 0.050043 0.421667 0.965822 0.998446 0.976524 0.629359 0.954733 0.000412 0.980813 0.578048
#> Iteration: 300 bestvalit: 35.531708 bestmemit: -9.087750 0.016143 0.004513 0.009507 -2.451710 0.120398 0.050012 0.414902 0.966073 0.997565 0.970706 0.579218 0.949989 0.000130 0.959667 0.490688
#> Iteration: 325 bestvalit: 35.469985 bestmemit: -6.420222 0.016210 0.004580 0.009230 -2.452456 0.117188 0.050485 0.436933 0.964719 0.987641 0.959435 0.552706 0.938571 0.000065 0.998375 0.584123
#> Iteration: 350 bestvalit: 35.457135 bestmemit: -8.425632 0.016264 0.004711 0.009355 -2.453290 0.118788 0.050001 0.445318 0.964637 0.983758 0.959515 0.558764 0.938746 0.000141 0.999732 0.540530
#> Iteration: 375 bestvalit: 35.446826 bestmemit: -9.801156 0.016257 0.004637 0.009438 -2.453258 0.118652 0.050007 0.431576 0.965154 0.997323 0.956406 0.542465 0.937241 0.000381 0.999827 0.703365
#> Iteration: 400 bestvalit: 35.445145 bestmemit: -8.658013 0.016245 0.004645 0.009437 -2.453164 0.119115 0.050001 0.430217 0.966050 0.999560 0.955450 0.542742 0.936998 0.000359 0.999999 0.141572
#> Iteration: 425 bestvalit: 35.444662 bestmemit: -9.827849 0.016239 0.004637 0.009423 -2.453083 0.119301 0.050000 0.431711 0.965700 0.999999 0.955308 0.546115 0.936589 0.000305 0.999994 0.558258
#> Iteration: 450 bestvalit: 35.444385 bestmemit: -8.361002 0.016244 0.004634 0.009414 -2.453088 0.119422 0.050001 0.432940 0.965685 0.999998 0.954028 0.545558 0.935312 0.000210 0.999980 0.791346
#> Iteration: 475 bestvalit: 35.444190 bestmemit: -8.005814 0.016259 0.004658 0.009413 -2.453232 0.119441 0.050000 0.431849 0.965732 0.999958 0.954609 0.545438 0.935923 0.000159 0.999988 0.441582
#> Iteration: 500 bestvalit: 35.444044 bestmemit: -9.711488 0.016259 0.004657 0.009409 -2.453195 0.119392 0.050001 0.431517 0.965673 0.999965 0.954371 0.544668 0.935676 0.000108 0.999999 0.161718
#> Iteration: 525 bestvalit: 35.443272 bestmemit: -9.931447 0.016250 0.004643 0.009435 -2.453072 0.119502 0.050021 0.429920 0.965638 0.999949 0.954004 0.547654 0.935182 0.000001 0.999999 0.207417
#> Iteration: 550 bestvalit: 35.443094 bestmemit: -8.024574 0.016250 0.004649 0.009441 -2.453149 0.119342 0.050025 0.429914 0.965601 0.999969 0.954596 0.549008 0.935709 0.000000 1.000000 0.679623
#> Iteration: 575 bestvalit: 35.443063 bestmemit: -8.159412 0.016254 0.004648 0.009443 -2.453208 0.119338 0.050022 0.429689 0.965624 0.999996 0.954396 0.547937 0.935555 0.000000 1.000000 0.295503
#> Iteration: 600 bestvalit: 35.443026 bestmemit: -8.632120 0.016251 0.004646 0.009441 -2.453153 0.119321 0.050015 0.429905 0.965652 1.000000 0.954169 0.549714 0.935272 0.000001 1.000000 0.733717
#> Iteration: 625 bestvalit: 35.442798 bestmemit: -8.259837 0.016249 0.004644 0.009447 -2.453145 0.119372 0.050000 0.429312 0.965652 0.999992 0.954466 0.548017 0.935602 0.000001 0.999998 0.557695
#> Iteration: 650 bestvalit: 35.442781 bestmemit: -8.709656 0.016246 0.004640 0.009446 -2.453126 0.119316 0.050000 0.429506 0.965608 0.999984 0.954586 0.548529 0.935683 0.000000 0.999998 0.794492
#> Iteration: 675 bestvalit: 35.442776 bestmemit: -8.841862 0.016246 0.004639 0.009444 -2.453124 0.119345 0.050000 0.429331 0.965630 0.999975 0.954554 0.548563 0.935664 0.000000 0.999998 0.574296
#> Iteration: 700 bestvalit: 35.442770 bestmemit: -8.241805 0.016246 0.004638 0.009441 -2.453101 0.119327 0.050000 0.429419 0.965635 0.999958 0.954590 0.548723 0.935704 0.000000 0.999998 0.092179
#> Iteration: 725 bestvalit: 35.442721 bestmemit: -9.239458 0.016246 0.004638 0.009445 -2.453120 0.119353 0.050000 0.429327 0.965602 0.999877 0.954569 0.548468 0.935695 0.000001 0.999998 0.367685
#> Iteration: 750 bestvalit: 35.442719 bestmemit: -9.283354 0.016247 0.004641 0.009446 -2.453128 0.119341 0.050000 0.429336 0.965614 0.999877 0.954579 0.548512 0.935710 0.000001 0.999998 0.216057
#> Iteration: 775 bestvalit: 35.442718 bestmemit: -9.627038 0.016247 0.004641 0.009446 -2.453129 0.119334 0.050000 0.429360 0.965610 0.999873 0.954568 0.548516 0.935696 0.000000 0.999998 0.850632
#> ... Finished Calibration.
#> Best solution: 35.4427178589966
#>
#> ... Doing Calibration Trial 15 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.656729235082
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 67.814698 bestmemit: -9.755864 0.018240 -0.196007 0.013202 -2.444060 0.520514 0.447215 0.412815 0.972647 0.745203 0.945834 0.551751 0.233963 0.423184 0.238767 0.357833
#> Iteration: 50 bestvalit: 45.914094 bestmemit: -3.514447 0.019522 0.011647 -0.232770 -2.510826 0.225259 0.312992 0.297313 0.967714 0.930686 0.431734 0.815851 0.351601 0.445251 0.250883 0.512121
#> Iteration: 75 bestvalit: 39.417213 bestmemit: -4.768769 0.015042 0.008713 -0.241566 -2.438481 0.133403 0.406624 0.469692 0.952821 0.998587 0.154211 0.997131 0.315238 0.551930 0.561152 0.767136
#> Iteration: 100 bestvalit: 36.750071 bestmemit: -9.363805 0.015490 0.008458 0.002993 -2.445299 0.125193 0.411957 0.055016 0.969355 0.981656 0.375909 0.802834 0.069534 0.609478 0.966130 0.540301
#> Iteration: 125 bestvalit: 35.861259 bestmemit: -6.843123 0.016742 0.009918 0.005594 -2.458455 0.126206 0.432522 0.050707 0.973842 0.949350 0.407684 0.647592 0.001852 0.828818 0.993213 0.457560
#> Iteration: 150 bestvalit: 35.610610 bestmemit: -4.345686 0.016554 0.009650 0.005056 -2.456268 0.120929 0.465054 0.050808 0.968119 0.953500 0.641677 0.537428 0.001412 0.900964 0.975083 0.380798
#> Iteration: 175 bestvalit: 35.484849 bestmemit: -5.089494 0.016143 0.009076 0.004493 -2.451295 0.120517 0.435529 0.050024 0.968064 0.952563 0.835975 0.452966 0.000527 0.922333 0.998315 0.445225
#> Iteration: 200 bestvalit: 35.469058 bestmemit: -4.771673 0.016166 0.009273 0.004453 -2.451867 0.119470 0.434203 0.050387 0.966889 0.949968 0.888937 0.463569 0.000154 0.923695 0.999445 0.809278
#> Iteration: 225 bestvalit: 35.465695 bestmemit: -4.826387 0.016121 0.009246 0.004424 -2.451208 0.119209 0.431221 0.050379 0.966357 0.949903 0.905392 0.455542 0.000003 0.924398 0.999944 0.697201
#> Iteration: 250 bestvalit: 35.456256 bestmemit: -5.497502 0.016165 0.009350 0.004503 -2.452075 0.119101 0.429290 0.050013 0.965741 0.950478 0.876219 0.439771 0.000135 0.921535 0.998982 0.780600
#> Iteration: 275 bestvalit: 35.454943 bestmemit: -5.679239 0.016171 0.009382 0.004536 -2.452102 0.119577 0.429402 0.050001 0.965456 0.952191 0.839506 0.446193 0.000128 0.920269 0.999894 0.506177
#> Iteration: 300 bestvalit: 35.453896 bestmemit: -5.664226 0.016199 0.009397 0.004561 -2.452551 0.119280 0.430353 0.050001 0.965649 0.950626 0.867515 0.439119 0.000085 0.920881 0.999999 0.350538
#> Iteration: 325 bestvalit: 35.451871 bestmemit: -6.401904 0.016227 0.009411 0.004614 -2.452918 0.119281 0.432172 0.050001 0.965045 0.951534 0.871073 0.440425 0.000006 0.921900 0.999918 0.227502
#> Iteration: 350 bestvalit: 35.451260 bestmemit: -6.822731 0.016215 0.009418 0.004604 -2.452728 0.119463 0.432260 0.050002 0.965015 0.951791 0.872366 0.445177 0.000004 0.922487 0.999998 0.195042
#> Iteration: 375 bestvalit: 35.450954 bestmemit: -6.871159 0.016227 0.009430 0.004608 -2.452881 0.119300 0.432097 0.050005 0.965155 0.951117 0.884395 0.442806 0.000000 0.922773 0.999999 0.281606
#> Iteration: 400 bestvalit: 35.449852 bestmemit: -9.211896 0.016258 0.009464 0.004657 -2.453220 0.119072 0.429052 0.050021 0.965172 0.953212 0.883815 0.446451 0.000000 0.925246 0.999894 0.463583
#> Iteration: 425 bestvalit: 35.449649 bestmemit: -9.864046 0.016246 0.009451 0.004650 -2.453093 0.119263 0.428393 0.050027 0.965472 0.953713 0.882820 0.448777 0.000000 0.926011 0.999812 0.450083
#> Iteration: 450 bestvalit: 35.449498 bestmemit: -8.457327 0.016242 0.009445 0.004644 -2.453070 0.119356 0.430418 0.050028 0.965605 0.954326 0.882725 0.445709 0.000000 0.926659 0.999866 0.771354
#> Iteration: 475 bestvalit: 35.449061 bestmemit: -8.591597 0.016237 0.009436 0.004642 -2.453044 0.119302 0.429491 0.050024 0.965332 0.953238 0.891520 0.447355 0.000000 0.926057 0.999996 0.103970
#> Iteration: 500 bestvalit: 35.448221 bestmemit: -9.036372 0.016249 0.009443 0.004637 -2.453193 0.119191 0.430953 0.050017 0.965479 0.951885 0.914935 0.449201 0.000000 0.926629 1.000000 0.495187
#> Iteration: 525 bestvalit: 35.447931 bestmemit: -9.940990 0.016246 0.009439 0.004638 -2.453128 0.119252 0.429646 0.050008 0.965159 0.950971 0.931824 0.447310 0.000000 0.926719 0.999998 0.492413
#> Iteration: 550 bestvalit: 35.447833 bestmemit: -9.692709 0.016242 0.009434 0.004628 -2.453088 0.119156 0.429394 0.050005 0.965231 0.950977 0.933572 0.446059 0.000000 0.926858 1.000000 0.921668
#> Iteration: 575 bestvalit: 35.447142 bestmemit: -8.664900 0.016273 0.009463 0.004677 -2.453430 0.119283 0.429541 0.050000 0.965177 0.952354 0.929054 0.449083 0.000000 0.928058 0.999990 0.670036
#> Iteration: 600 bestvalit: 35.446693 bestmemit: -8.288469 0.016253 0.009440 0.004656 -2.453228 0.119385 0.428185 0.050000 0.965677 0.952626 0.930984 0.454383 0.000000 0.928991 1.000000 0.593365
#> Iteration: 625 bestvalit: 35.446644 bestmemit: -9.807046 0.016257 0.009447 0.004659 -2.453259 0.119239 0.428615 0.050000 0.965709 0.952400 0.932986 0.453308 0.000000 0.928888 1.000000 0.254648
#> Iteration: 650 bestvalit: 35.446464 bestmemit: -9.046404 0.016252 0.009450 0.004660 -2.453188 0.119224 0.428704 0.050003 0.965688 0.953512 0.929427 0.451745 0.000001 0.929742 0.999996 0.988011
#> Iteration: 675 bestvalit: 35.446382 bestmemit: -9.205199 0.016258 0.009461 0.004657 -2.453315 0.119248 0.428569 0.050004 0.965689 0.953941 0.930037 0.450740 0.000002 0.930213 0.999996 0.389492
#> Iteration: 700 bestvalit: 35.446201 bestmemit: -9.848950 0.016259 0.009464 0.004660 -2.453317 0.119465 0.429274 0.050003 0.965820 0.953946 0.933163 0.451464 0.000001 0.930556 1.000000 0.419541
#> Iteration: 725 bestvalit: 35.445645 bestmemit: -8.540586 0.016245 0.009431 0.004635 -2.453108 0.119359 0.430214 0.050000 0.965558 0.953029 0.947437 0.448721 0.000000 0.930382 0.999997 0.030518
#> Iteration: 750 bestvalit: 35.445496 bestmemit: -9.215646 0.016242 0.009447 0.004639 -2.453102 0.119343 0.429697 0.050000 0.965404 0.952974 0.951045 0.448294 0.000000 0.930485 0.999986 0.666475
#> Iteration: 775 bestvalit: 35.445277 bestmemit: -8.511732 0.016248 0.009446 0.004641 -2.453134 0.119266 0.429330 0.050000 0.965638 0.954210 0.950735 0.449262 0.000001 0.931933 0.999869 0.586713
#> Iteration: 800 bestvalit: 35.445248 bestmemit: -8.238181 0.016249 0.009450 0.004649 -2.453172 0.119361 0.429300 0.050000 0.965609 0.954096 0.951070 0.450876 0.000001 0.931878 0.999875 0.665815
#> Iteration: 825 bestvalit: 35.444688 bestmemit: -9.855852 0.016250 0.009452 0.004644 -2.453181 0.119097 0.429464 0.050002 0.965172 0.952170 0.983562 0.450101 0.000008 0.931899 0.999712 0.117757
#> Iteration: 850 bestvalit: 35.444603 bestmemit: -9.197355 0.016249 0.009442 0.004643 -2.453157 0.119295 0.429341 0.050002 0.965388 0.952022 0.984035 0.450842 0.000008 0.931928 0.999718 0.432832
#> Iteration: 875 bestvalit: 35.444260 bestmemit: -8.119980 0.016263 0.009455 0.004655 -2.453356 0.119258 0.429218 0.050000 0.965268 0.951504 0.997391 0.452331 0.000003 0.932303 0.999759 0.661985
#> Iteration: 900 bestvalit: 35.444129 bestmemit: -9.106973 0.016244 0.009436 0.004631 -2.453092 0.119259 0.429386 0.050000 0.965278 0.951406 0.999781 0.451810 0.000008 0.932357 0.999838 0.640302
#> Iteration: 925 bestvalit: 35.443994 bestmemit: -8.052069 0.016246 0.009439 0.004634 -2.453128 0.119279 0.429684 0.050000 0.965304 0.951636 0.996440 0.451564 0.000014 0.932367 0.999999 0.743743
#> Iteration: 950 bestvalit: 35.443987 bestmemit: -8.069952 0.016248 0.009441 0.004637 -2.453158 0.119270 0.429432 0.050000 0.965318 0.951652 0.996245 0.451402 0.000014 0.932372 1.000000 0.365182
#> Iteration: 975 bestvalit: 35.443978 bestmemit: -8.105638 0.016250 0.009444 0.004641 -2.453177 0.119241 0.429227 0.050000 0.965310 0.951787 0.994554 0.451779 0.000014 0.932401 1.000000 0.894590
#> Iteration: 1000 bestvalit: 35.443915 bestmemit: -8.103757 0.016247 0.009440 0.004635 -2.453144 0.119356 0.429417 0.050000 0.965350 0.952315 0.990523 0.450136 0.000018 0.932623 0.999994 0.272102
#> Iteration: 1025 bestvalit: 35.443453 bestmemit: -9.626206 0.016244 0.009443 0.004640 -2.453116 0.119320 0.429568 0.050000 0.965555 0.953961 0.994091 0.451010 0.000052 0.934668 0.999868 0.622174
#> Iteration: 1050 bestvalit: 35.443427 bestmemit: -8.128085 0.016246 0.009442 0.004638 -2.453130 0.119317 0.429294 0.050000 0.965528 0.953840 0.994925 0.450176 0.000051 0.934556 0.999878 0.379985
#> Iteration: 1075 bestvalit: 35.443264 bestmemit: -8.925279 0.016247 0.009444 0.004631 -2.453124 0.119341 0.429086 0.050000 0.965424 0.953485 0.999948 0.451849 0.000053 0.934531 0.999911 0.538047
#> Iteration: 1100 bestvalit: 35.443243 bestmemit: -9.758473 0.016248 0.009444 0.004641 -2.453148 0.119311 0.429314 0.050000 0.965480 0.953436 1.000000 0.451741 0.000053 0.934513 0.999914 0.558744
#> Iteration: 1125 bestvalit: 35.443214 bestmemit: -8.082955 0.016250 0.009443 0.004641 -2.453190 0.119348 0.428905 0.050000 0.965506 0.953490 0.999997 0.451863 0.000056 0.934585 0.999962 0.312069
#> Iteration: 1150 bestvalit: 35.443145 bestmemit: -8.208257 0.016246 0.009444 0.004639 -2.453123 0.119273 0.429186 0.050001 0.965511 0.953899 0.999998 0.451400 0.000068 0.934982 0.999999 0.953564
#> Iteration: 1175 bestvalit: 35.443139 bestmemit: -8.083014 0.016248 0.009446 0.004641 -2.453148 0.119320 0.429178 0.050001 0.965544 0.954028 0.999998 0.451696 0.000072 0.935139 1.000000 0.674321
#> Iteration: 1200 bestvalit: 35.443132 bestmemit: -8.040819 0.016245 0.009443 0.004636 -2.453118 0.119339 0.429326 0.050001 0.965575 0.954048 0.999945 0.451094 0.000070 0.935151 0.999998 0.428357
#> Iteration: 1225 bestvalit: 35.443023 bestmemit: -9.678918 0.016251 0.009451 0.004646 -2.453176 0.119238 0.429251 0.050002 0.965431 0.954240 0.999282 0.449393 0.000031 0.935161 0.999970 0.270722
#> Iteration: 1250 bestvalit: 35.442875 bestmemit: -8.162163 0.016246 0.009444 0.004640 -2.453124 0.119312 0.429173 0.050003 0.965582 0.954457 0.998693 0.450976 0.000000 0.935476 0.999941 0.383577
#> Iteration: 1275 bestvalit: 35.442855 bestmemit: -8.402725 0.016247 0.009447 0.004636 -2.453143 0.119321 0.429620 0.050003 0.965581 0.954503 0.998893 0.450533 0.000000 0.935516 0.999959 0.216760
#> Iteration: 1300 bestvalit: 35.442774 bestmemit: -8.004323 0.016248 0.009448 0.004643 -2.453146 0.119305 0.429299 0.050002 0.965593 0.954546 0.999503 0.451439 0.000000 0.935630 1.000000 0.042052
#> Iteration: 1325 bestvalit: 35.442772 bestmemit: -8.002628 0.016246 0.009446 0.004641 -2.453126 0.119336 0.429270 0.050002 0.965608 0.954559 0.999508 0.451608 0.000000 0.935657 1.000000 0.510381
#> Iteration: 1350 bestvalit: 35.442771 bestmemit: -8.070904 0.016246 0.009445 0.004641 -2.453123 0.119319 0.429168 0.050002 0.965608 0.954600 0.999563 0.451479 0.000000 0.935698 1.000000 0.315526
#> Iteration: 1375 bestvalit: 35.442742 bestmemit: -9.547812 0.016249 0.009446 0.004639 -2.453149 0.119316 0.429247 0.050001 0.965583 0.954543 0.999989 0.451442 0.000000 0.935652 1.000000 0.506716
#> Iteration: 1400 bestvalit: 35.442725 bestmemit: -9.678172 0.016247 0.009447 0.004639 -2.453132 0.119347 0.429310 0.050000 0.965619 0.954529 0.999904 0.451448 0.000000 0.935661 1.000000 0.445601
#> Iteration: 1425 bestvalit: 35.442710 bestmemit: -9.399848 0.016247 0.009446 0.004641 -2.453125 0.119345 0.429197 0.050000 0.965612 0.954533 1.000000 0.451543 0.000000 0.935673 1.000000 0.466942
#> Iteration: 1450 bestvalit: 35.442710 bestmemit: -9.201325 0.016247 0.009447 0.004641 -2.453135 0.119343 0.429249 0.050000 0.965618 0.954564 1.000000 0.451548 0.000000 0.935707 1.000000 0.287061
#> ... Finished Calibration.
#> Best solution: 35.4427095936037
#>
#> ... Doing Calibration Trial 16 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.656729235082
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 91.759499 bestmemit: -6.886070 -0.305331 -0.243042 0.034517 -2.895412 0.364441 0.505150 0.647056 0.901463 0.648268 0.842977 0.751266 0.007570 0.079520 0.657248 0.394813
#> Iteration: 50 bestvalit: 66.120748 bestmemit: -6.433241 0.024602 0.137141 0.103557 -2.606962 0.262616 0.512371 0.432783 0.926015 0.536011 0.962727 0.462978 0.593374 0.112181 0.464071 0.841613
#> Iteration: 75 bestvalit: 53.473891 bestmemit: -7.546425 0.022136 0.167715 0.017886 -2.537125 0.269938 0.311145 0.343513 0.798851 0.678982 0.816584 0.034608 0.435369 0.164677 0.276587 0.503644
#> Iteration: 100 bestvalit: 47.836613 bestmemit: -5.973282 0.013257 0.387019 0.010546 -2.421694 0.219041 0.077466 0.731294 0.928438 0.841497 0.866402 0.284247 0.710690 0.208537 0.362938 0.928525
#> Iteration: 125 bestvalit: 42.818817 bestmemit: -5.096052 0.019685 0.247241 0.013353 -2.506502 0.143331 0.310204 0.475633 0.912875 0.723176 0.919540 0.038612 0.700021 0.182555 0.164586 0.723499
#> Iteration: 150 bestvalit: 38.404685 bestmemit: -7.122756 0.016162 -0.259177 0.009320 -2.456409 0.123185 0.147132 0.444807 0.955087 0.637396 0.983038 0.268446 0.630349 0.080714 0.797016 0.597945
#> Iteration: 175 bestvalit: 37.162594 bestmemit: -6.943270 0.016207 0.008169 0.009599 -2.450059 0.117986 0.096556 0.479199 0.955957 0.783277 0.986246 0.196077 0.649374 0.073555 0.816855 0.560619
#> Iteration: 200 bestvalit: 36.677376 bestmemit: -6.464775 0.015649 0.006241 0.008943 -2.446261 0.124768 0.144259 0.389900 0.960409 0.609818 0.995204 0.236336 0.830110 0.067844 0.985782 0.418611
#> Iteration: 225 bestvalit: 36.050316 bestmemit: -6.382840 0.016050 0.004381 0.009262 -2.451964 0.125466 0.058343 0.429782 0.975704 0.623508 0.969727 0.481260 0.820131 0.020353 0.941372 0.558878
#> Iteration: 250 bestvalit: 35.747571 bestmemit: -6.005487 0.015945 0.004181 0.009215 -2.449262 0.128368 0.050862 0.437342 0.975012 0.335706 0.943371 0.565699 0.771273 0.001841 0.990339 0.447123
#> Iteration: 275 bestvalit: 35.558952 bestmemit: -6.383908 0.016296 0.004648 0.009675 -2.454578 0.120764 0.050844 0.423045 0.967021 0.781152 0.960273 0.591137 0.914550 0.003070 0.970483 0.146840
#> Iteration: 300 bestvalit: 35.478614 bestmemit: -5.574769 0.016247 0.004638 0.009357 -2.453158 0.119660 0.050199 0.413503 0.963653 0.917427 0.952605 0.560147 0.924859 0.001817 0.995376 0.504422
#> Iteration: 325 bestvalit: 35.452657 bestmemit: -6.634566 0.016211 0.004648 0.009425 -2.452498 0.118761 0.050156 0.426817 0.966289 0.996198 0.954071 0.537407 0.935023 0.000392 0.998622 0.404477
#> Iteration: 350 bestvalit: 35.446990 bestmemit: -6.431390 0.016166 0.004582 0.009363 -2.452145 0.119365 0.050051 0.429317 0.966424 0.995952 0.954231 0.537275 0.935872 0.000157 0.999482 0.453889
#> Iteration: 375 bestvalit: 35.444212 bestmemit: -6.839013 0.016293 0.004684 0.009521 -2.453645 0.119130 0.050006 0.430190 0.965500 0.991830 0.954443 0.551246 0.934833 0.000022 0.999907 0.406730
#> Iteration: 400 bestvalit: 35.443467 bestmemit: -6.747050 0.016271 0.004672 0.009485 -2.453398 0.119379 0.050007 0.430763 0.965965 0.999170 0.954901 0.545053 0.936263 0.000001 0.999864 0.496730
#> Iteration: 425 bestvalit: 35.442972 bestmemit: -8.028630 0.016243 0.004634 0.009439 -2.453104 0.119303 0.050003 0.429672 0.965576 0.998301 0.954121 0.546649 0.935169 0.000009 0.999999 0.644462
#> Iteration: 450 bestvalit: 35.442802 bestmemit: -8.257710 0.016250 0.004652 0.009448 -2.453202 0.119352 0.050000 0.429899 0.965675 0.999650 0.954289 0.548785 0.935423 0.000004 0.999994 0.412991
#> Iteration: 475 bestvalit: 35.442767 bestmemit: -7.869478 0.016241 0.004640 0.009442 -2.453087 0.119343 0.050000 0.429739 0.965662 0.999950 0.954610 0.548260 0.935777 0.000002 0.999996 0.406242
#> Iteration: 500 bestvalit: 35.442732 bestmemit: -8.426719 0.016245 0.004641 0.009442 -2.453110 0.119252 0.050000 0.429375 0.965641 0.999781 0.954422 0.548103 0.935575 0.000000 1.000000 0.478081
#> Iteration: 525 bestvalit: 35.442718 bestmemit: -9.117904 0.016246 0.004643 0.009448 -2.453125 0.119327 0.050000 0.429112 0.965606 0.999998 0.954575 0.548362 0.935712 0.000000 1.000000 0.636069
#> Iteration: 550 bestvalit: 35.442711 bestmemit: -8.889937 0.016245 0.004641 0.009445 -2.453120 0.119333 0.050000 0.429413 0.965609 0.999987 0.954600 0.548123 0.935749 0.000000 0.999999 0.575791
#> Iteration: 575 bestvalit: 35.442708 bestmemit: -8.536086 0.016247 0.004641 0.009447 -2.453133 0.119327 0.050000 0.429348 0.965618 0.999998 0.954583 0.548522 0.935723 0.000000 0.999999 0.507550
#> Iteration: 600 bestvalit: 35.442708 bestmemit: -8.283758 0.016247 0.004642 0.009448 -2.453138 0.119328 0.050000 0.429344 0.965606 0.999998 0.954590 0.548470 0.935726 0.000000 1.000000 0.502032
#> Iteration: 625 bestvalit: 35.442707 bestmemit: -8.321612 0.016247 0.004641 0.009447 -2.453129 0.119337 0.050000 0.429282 0.965615 0.999998 0.954592 0.548482 0.935732 0.000000 1.000000 0.521084
#> ... Finished Calibration.
#> Best solution: 35.442707367878
#>
#> ... Doing Calibration Trial 17 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.656729235082
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 96.089433 bestmemit: -7.484120 0.014066 0.037594 -0.378086 -2.518876 0.264276 0.416751 0.298117 0.951331 0.753346 0.615076 0.591718 0.275074 0.177850 0.625098 0.506128
#> Iteration: 50 bestvalit: 62.278407 bestmemit: -8.351393 0.007384 0.348180 -0.483796 -2.391207 0.380893 0.678802 0.403466 0.914582 0.776048 0.715341 0.424814 0.369646 0.183494 0.944497 0.334426
#> Iteration: 75 bestvalit: 53.420967 bestmemit: -7.763122 0.011501 0.008250 -0.350695 -2.413792 0.193519 0.401647 0.678335 0.927396 0.641815 0.696942 0.499015 0.473999 0.323790 0.782963 0.011161
#> Iteration: 100 bestvalit: 49.682559 bestmemit: -5.520940 0.015587 0.003952 -0.399738 -2.443318 0.277514 0.532916 0.297327 0.895097 0.891436 0.650925 0.739583 0.470292 0.197706 0.372666 0.318458
#> Iteration: 125 bestvalit: 43.366562 bestmemit: -3.552549 0.018220 0.008123 0.489420 -2.479600 0.159651 0.676801 0.172831 0.929309 0.892237 0.563343 0.822453 0.249447 0.272495 0.780119 0.691126
#> Iteration: 150 bestvalit: 38.941968 bestmemit: -5.651762 0.017654 0.012744 0.011528 -2.472127 0.121039 0.342286 0.365798 0.937257 0.818277 0.564460 0.691105 0.192177 0.350932 0.755577 0.411878
#> Iteration: 175 bestvalit: 37.584869 bestmemit: -4.693223 0.016248 0.008455 0.008125 -2.451045 0.114015 0.400493 0.494342 0.958009 0.909382 0.566826 0.592518 0.207914 0.042412 0.804660 0.279724
#> Iteration: 200 bestvalit: 36.562142 bestmemit: -5.719827 0.017021 0.010069 0.007023 -2.461893 0.115333 0.398533 0.269613 0.957071 0.987371 0.644832 0.368721 0.026601 0.899660 0.877318 0.692613
#> Iteration: 225 bestvalit: 35.846850 bestmemit: -5.633603 0.016257 0.009215 0.005415 -2.454411 0.123932 0.441917 0.051124 0.965714 0.950262 0.742250 0.380074 0.015431 0.877400 0.907824 0.443121
#> Iteration: 250 bestvalit: 35.605813 bestmemit: -5.496091 0.016196 0.009445 0.004582 -2.452957 0.124594 0.441914 0.051989 0.966715 0.962209 0.982458 0.337769 0.000500 0.931924 0.966171 0.476576
#> Iteration: 275 bestvalit: 35.503896 bestmemit: -6.180629 0.016293 0.009751 0.004658 -2.453914 0.118965 0.417044 0.050245 0.965981 0.963578 0.965629 0.460065 0.001044 0.934987 0.991450 0.191102
#> Iteration: 300 bestvalit: 35.473211 bestmemit: -5.437110 0.016416 0.009636 0.004697 -2.455022 0.119617 0.425022 0.050379 0.966194 0.955491 0.994693 0.458340 0.002432 0.935461 0.999900 0.626631
#> Iteration: 325 bestvalit: 35.451426 bestmemit: -6.613027 0.016174 0.009313 0.004486 -2.452004 0.119941 0.433232 0.050058 0.965904 0.956282 0.995767 0.449710 0.000161 0.936300 0.998784 0.622340
#> Iteration: 350 bestvalit: 35.446867 bestmemit: -7.192930 0.016223 0.009458 0.004608 -2.452953 0.119266 0.433381 0.050042 0.965152 0.954400 0.984721 0.459535 0.000131 0.934307 0.999608 0.709201
#> Iteration: 375 bestvalit: 35.444143 bestmemit: -7.450832 0.016253 0.009464 0.004647 -2.453190 0.119152 0.430458 0.050005 0.965805 0.954142 0.998871 0.455063 0.000118 0.935348 0.999684 0.690836
#> Iteration: 400 bestvalit: 35.443479 bestmemit: -9.532377 0.016262 0.009463 0.004663 -2.453328 0.119060 0.428964 0.050002 0.965707 0.954956 0.998692 0.451004 0.000019 0.935952 0.999710 0.431014
#> Iteration: 425 bestvalit: 35.442938 bestmemit: -8.113194 0.016266 0.009455 0.004663 -2.453376 0.119224 0.428789 0.050002 0.965657 0.954190 0.999656 0.451017 0.000002 0.935298 0.999961 0.602357
#> Iteration: 450 bestvalit: 35.442794 bestmemit: -7.975834 0.016246 0.009445 0.004643 -2.453106 0.119295 0.429869 0.050001 0.965622 0.954845 0.999970 0.452756 0.000000 0.936027 0.999972 0.413390
#> Iteration: 475 bestvalit: 35.442756 bestmemit: -8.244118 0.016247 0.009448 0.004637 -2.453141 0.119341 0.429307 0.050000 0.965670 0.954769 0.999835 0.451731 0.000002 0.935930 0.999994 0.418523
#> Iteration: 500 bestvalit: 35.442731 bestmemit: -8.305951 0.016250 0.009453 0.004640 -2.453168 0.119373 0.429361 0.050000 0.965630 0.954587 0.999952 0.451407 0.000002 0.935728 0.999999 0.543268
#> Iteration: 525 bestvalit: 35.442714 bestmemit: -8.058023 0.016246 0.009447 0.004640 -2.453124 0.119349 0.429250 0.050000 0.965619 0.954637 0.999902 0.451670 0.000000 0.935778 1.000000 0.899521
#> Iteration: 550 bestvalit: 35.442711 bestmemit: -8.104516 0.016248 0.009448 0.004641 -2.453144 0.119336 0.429308 0.050000 0.965609 0.954604 0.999964 0.451199 0.000000 0.935727 0.999999 0.852697
#> Iteration: 575 bestvalit: 35.442709 bestmemit: -8.012150 0.016245 0.009445 0.004638 -2.453110 0.119340 0.429259 0.050000 0.965608 0.954559 0.999999 0.451630 0.000000 0.935699 1.000000 0.613762
#> Iteration: 600 bestvalit: 35.442708 bestmemit: -8.061856 0.016246 0.009447 0.004640 -2.453123 0.119340 0.429298 0.050000 0.965609 0.954585 1.000000 0.451559 0.000000 0.935724 1.000000 0.148765
#> ... Finished Calibration.
#> Best solution: 35.4427074357975
#>
#> ... Doing Calibration Trial 18 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.656729235082
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 70.833195 bestmemit: -3.396534 0.019079 0.005141 -0.413964 -2.535031 0.428150 0.231883 0.322468 0.776678 0.669194 0.914375 0.077976 0.463772 0.215373 0.669327 0.309204
#> Iteration: 50 bestvalit: 69.184991 bestmemit: -2.944423 0.014799 -0.274883 -0.254087 -2.422823 0.405625 0.237163 0.129932 0.882739 0.395545 0.903548 0.166611 0.442467 0.090167 0.688918 0.197474
#> Iteration: 75 bestvalit: 49.541789 bestmemit: -8.419198 0.015654 -0.026769 0.019977 -2.486463 0.368600 0.422311 0.244534 0.883415 0.216569 0.937860 0.118018 0.569343 0.244916 0.780425 0.202955
#> Iteration: 100 bestvalit: 49.541789 bestmemit: -8.419198 0.015654 -0.026769 0.019977 -2.486463 0.368600 0.422311 0.244534 0.883415 0.216569 0.937860 0.118018 0.569343 0.244916 0.780425 0.202955
#> Iteration: 125 bestvalit: 46.064053 bestmemit: -7.517355 0.015763 0.000245 0.020212 -2.485666 0.342332 0.194510 0.070098 0.845988 0.302978 0.883437 0.094755 0.497809 0.204198 0.848302 0.428242
#> Iteration: 150 bestvalit: 45.866169 bestmemit: -7.152545 0.015488 -0.007361 0.020113 -2.484957 0.405504 0.277844 0.084237 0.899517 0.236174 0.925927 0.034494 0.629555 0.224509 0.608624 0.166255
#> Iteration: 175 bestvalit: 37.901937 bestmemit: -3.984449 0.016814 0.015916 0.010468 -2.457437 0.141091 0.361756 0.547073 0.959817 0.623605 0.944677 0.162329 0.814444 0.031385 0.691231 0.640838
#> Iteration: 200 bestvalit: 37.196252 bestmemit: -4.333856 0.015951 0.007516 0.009301 -2.448958 0.119277 0.205244 0.450663 0.937009 0.528009 0.902125 0.264228 0.714402 0.046401 0.793902 0.659107
#> Iteration: 225 bestvalit: 36.548767 bestmemit: -8.149804 0.016831 0.006120 0.009456 -2.462067 0.118531 0.072109 0.501104 0.956040 0.197972 0.951942 0.346502 0.673885 0.026717 0.958513 0.393071
#> Iteration: 250 bestvalit: 35.868064 bestmemit: -5.101296 0.016087 0.004642 0.008999 -2.450928 0.123259 0.056452 0.471560 0.961544 0.451235 0.952796 0.460663 0.801369 0.015446 0.970273 0.182026
#> Iteration: 275 bestvalit: 35.600623 bestmemit: -4.945322 0.016557 0.005266 0.009600 -2.456549 0.119502 0.050090 0.450662 0.967261 0.528462 0.945890 0.545372 0.853699 0.003558 0.974961 0.261858
#> Iteration: 300 bestvalit: 35.515872 bestmemit: -5.076161 0.016345 0.004866 0.009453 -2.454244 0.118590 0.050302 0.434131 0.966098 0.576823 0.958131 0.560493 0.892097 0.002901 0.992160 0.443422
#> Iteration: 325 bestvalit: 35.487590 bestmemit: -5.286356 0.016228 0.004651 0.009510 -2.453068 0.118863 0.050112 0.428099 0.964891 0.630278 0.951366 0.569830 0.889459 0.000826 0.997615 0.790185
#> Iteration: 350 bestvalit: 35.455302 bestmemit: -7.024798 0.016296 0.004719 0.009480 -2.453845 0.119688 0.050061 0.425314 0.966425 0.866935 0.956338 0.533836 0.928541 0.000067 0.999412 0.363285
#> Iteration: 375 bestvalit: 35.447225 bestmemit: -8.448038 0.016329 0.004705 0.009504 -2.454237 0.119063 0.050055 0.428653 0.966768 0.996892 0.953993 0.556405 0.935296 0.000092 0.999939 0.353933
#> Iteration: 400 bestvalit: 35.444065 bestmemit: -8.694112 0.016270 0.004627 0.009476 -2.453387 0.119204 0.050007 0.428068 0.966156 0.999729 0.954490 0.546611 0.935942 0.000016 0.999539 0.736165
#> Iteration: 425 bestvalit: 35.443225 bestmemit: -8.943121 0.016259 0.004634 0.009453 -2.453298 0.119423 0.050008 0.428256 0.965938 0.999278 0.954758 0.550328 0.935957 0.000006 0.999943 0.486004
#> Iteration: 450 bestvalit: 35.442932 bestmemit: -8.715432 0.016244 0.004643 0.009442 -2.453098 0.119283 0.050002 0.429480 0.965878 0.999146 0.954823 0.547395 0.936082 0.000005 0.999966 0.846268
#> Iteration: 475 bestvalit: 35.442806 bestmemit: -8.804625 0.016248 0.004641 0.009448 -2.453148 0.119360 0.050000 0.429330 0.965500 0.999297 0.954758 0.545908 0.935878 0.000002 0.999997 0.987143
#> Iteration: 500 bestvalit: 35.442750 bestmemit: -8.236073 0.016247 0.004637 0.009448 -2.453129 0.119312 0.050000 0.428842 0.965591 0.999900 0.954756 0.548731 0.935866 0.000002 0.999998 0.681046
#> Iteration: 525 bestvalit: 35.442723 bestmemit: -8.587475 0.016243 0.004639 0.009444 -2.453098 0.119364 0.050000 0.429420 0.965628 0.999973 0.954712 0.547624 0.935886 0.000000 0.999998 0.384463
#> Iteration: 550 bestvalit: 35.442713 bestmemit: -8.320964 0.016246 0.004638 0.009446 -2.453119 0.119359 0.050000 0.429441 0.965590 0.999999 0.954546 0.548053 0.935686 0.000000 0.999999 0.371649
#> Iteration: 575 bestvalit: 35.442709 bestmemit: -8.354536 0.016247 0.004640 0.009446 -2.453133 0.119336 0.050000 0.429405 0.965627 0.999999 0.954540 0.548342 0.935692 0.000000 1.000000 0.794747
#> Iteration: 600 bestvalit: 35.442708 bestmemit: -8.645056 0.016247 0.004641 0.009447 -2.453135 0.119346 0.050000 0.429295 0.965610 0.999998 0.954581 0.548184 0.935729 0.000000 1.000000 0.549575
#> ... Finished Calibration.
#> Best solution: 35.4427074539963
#>
#> ... Doing Calibration Trial 19 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.656729235082
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 63.409897 bestmemit: -4.133622 -0.413366 0.006847 0.295846 -2.380060 0.414040 0.523737 0.188094 0.967337 0.997780 0.165270 0.647286 0.047163 0.419876 0.826917 0.411268
#> Iteration: 50 bestvalit: 49.947538 bestmemit: -7.118272 0.019784 0.015521 -0.189097 -2.527666 0.300466 0.265872 0.523985 0.970723 0.953342 0.235275 0.634917 0.204978 0.376296 0.878318 0.845365
#> Iteration: 75 bestvalit: 37.999030 bestmemit: -7.578944 0.017528 0.010181 0.015995 -2.470322 0.109512 0.461765 0.162225 0.891096 0.946369 0.579943 0.578100 0.206129 0.419875 0.624217 0.114075
#> Iteration: 100 bestvalit: 36.787248 bestmemit: -7.836582 0.016730 0.010341 0.014715 -2.457154 0.122816 0.519843 0.055037 0.937157 0.972454 0.658111 0.424124 0.113659 0.414471 0.910277 0.092265
#> Iteration: 125 bestvalit: 35.492726 bestmemit: -8.126674 0.016975 0.009223 0.014427 -2.454977 0.121132 0.443873 0.050571 0.913440 0.967066 0.826439 0.505539 0.105609 0.409369 0.028278 0.003712
#> Iteration: 150 bestvalit: 34.756978 bestmemit: -3.726253 0.019728 0.011954 0.016630 -2.479860 0.090995 0.433695 0.050033 0.803405 0.912334 0.942507 0.733947 0.070545 0.287831 0.029785 0.092695
#> Iteration: 175 bestvalit: 34.565120 bestmemit: -3.716680 0.020396 0.011833 0.017037 -2.486719 0.089854 0.474296 0.050070 0.816233 0.887223 0.930488 0.746337 0.052599 0.256579 0.002263 0.173445
#> Iteration: 200 bestvalit: 34.400208 bestmemit: -3.732663 0.020377 0.012023 0.017071 -2.488461 0.091183 0.461310 0.050021 0.847433 0.863835 0.914636 0.773297 0.052647 0.277662 0.008836 0.003109
#> Iteration: 225 bestvalit: 34.350616 bestmemit: -3.770901 0.020630 0.011950 0.017264 -2.489733 0.088565 0.481765 0.050013 0.837896 0.873088 0.925096 0.771774 0.050849 0.254217 0.000388 0.001249
#> Iteration: 250 bestvalit: 34.254925 bestmemit: -4.075471 0.020820 0.012141 0.017394 -2.491901 0.084428 0.446026 0.050575 0.846674 0.869941 0.918420 0.806269 0.049896 0.240365 0.000459 0.009565
#> Iteration: 275 bestvalit: 34.118621 bestmemit: -4.830481 0.021248 0.012703 0.017757 -2.495803 0.081873 0.433896 0.051838 0.846824 0.890646 0.930710 0.771147 0.055015 0.209233 0.000045 0.037281
#> Iteration: 300 bestvalit: 33.992226 bestmemit: -5.476304 0.021789 0.013177 0.018229 -2.500614 0.079930 0.434764 0.053505 0.820453 0.904495 0.920328 0.673627 0.062208 0.196771 0.002774 0.082728
#> Iteration: 325 bestvalit: 33.586890 bestmemit: -6.785319 0.023077 0.012738 0.018768 -2.498715 0.051201 0.404362 0.062995 0.625325 0.861781 0.907895 0.185471 0.033538 0.150633 0.000458 0.362540
#> Iteration: 350 bestvalit: 33.479525 bestmemit: -7.060738 0.023339 0.012915 0.018753 -2.500433 0.050001 0.401185 0.063009 0.633471 0.874034 0.909298 0.199794 0.034539 0.145075 0.002170 0.357694
#> Iteration: 375 bestvalit: 33.448617 bestmemit: -6.574238 0.023538 0.013092 0.018910 -2.502850 0.050012 0.397681 0.062121 0.626880 0.879491 0.913884 0.256138 0.041900 0.153307 0.000219 0.308114
#> Iteration: 400 bestvalit: 33.418280 bestmemit: -5.589965 0.023369 0.012958 0.018733 -2.500158 0.050000 0.407908 0.061528 0.600642 0.871777 0.915497 0.275492 0.035965 0.156082 0.004085 0.264197
#> Iteration: 425 bestvalit: 33.353090 bestmemit: -5.361456 0.023034 0.012744 0.018500 -2.497335 0.050199 0.387493 0.061244 0.585384 0.871376 0.928301 0.300676 0.043735 0.152939 0.010366 0.149096
#> Iteration: 450 bestvalit: 33.050501 bestmemit: -8.437771 0.023640 0.012909 0.018997 -2.500918 0.050705 0.397098 0.066159 0.609133 0.859650 0.895511 0.006868 0.021227 0.137998 0.003288 0.003145
#> Iteration: 475 bestvalit: 32.862712 bestmemit: -7.782405 0.024208 0.013594 0.019453 -2.509291 0.050636 0.377037 0.064156 0.629256 0.874286 0.893946 0.004453 0.040941 0.138377 0.006752 0.001649
#> Iteration: 500 bestvalit: 32.304622 bestmemit: -3.722652 0.024303 0.013370 0.019531 -2.512075 0.050213 0.374279 0.055938 0.689969 0.862456 0.886904 0.002126 0.043091 0.133633 0.015041 0.000276
#> Iteration: 525 bestvalit: 32.259257 bestmemit: -3.774462 0.024224 0.013409 0.019488 -2.510746 0.050008 0.372805 0.055608 0.690497 0.886400 0.890649 0.000132 0.043195 0.131164 0.001758 0.000470
#> Iteration: 550 bestvalit: 32.256119 bestmemit: -3.766005 0.024174 0.013334 0.019450 -2.510205 0.050005 0.376592 0.055576 0.688289 0.886803 0.891118 0.000011 0.043588 0.131569 0.000079 0.000018
#> Iteration: 575 bestvalit: 32.255954 bestmemit: -3.770045 0.024175 0.013324 0.019453 -2.510210 0.050004 0.376840 0.055569 0.688443 0.886672 0.890958 0.000004 0.043174 0.132080 0.000007 0.000005
#> Iteration: 600 bestvalit: 32.255784 bestmemit: -3.769780 0.024190 0.013335 0.019468 -2.510387 0.050000 0.375614 0.055572 0.688389 0.886642 0.890920 0.000000 0.043348 0.131958 0.000003 0.000015
#> Iteration: 625 bestvalit: 32.255732 bestmemit: -3.764927 0.024195 0.013340 0.019474 -2.510453 0.050000 0.375464 0.055555 0.688491 0.886868 0.891084 0.000000 0.043611 0.131694 0.000000 0.000001
#> Iteration: 650 bestvalit: 32.255705 bestmemit: -3.763321 0.024191 0.013333 0.019468 -2.510365 0.050000 0.375401 0.055535 0.688723 0.887233 0.891134 0.000000 0.043757 0.131566 0.000006 0.000000
#> Iteration: 675 bestvalit: 32.255684 bestmemit: -3.761645 0.024194 0.013329 0.019470 -2.510388 0.050000 0.375443 0.055520 0.688924 0.887182 0.891036 0.000000 0.043755 0.131645 0.000006 0.000000
#> Iteration: 700 bestvalit: 32.255642 bestmemit: -3.757849 0.024206 0.013341 0.019479 -2.510509 0.050000 0.376000 0.055513 0.689118 0.887279 0.891038 0.000004 0.043723 0.131461 0.000020 0.000004
#> Iteration: 725 bestvalit: 32.255601 bestmemit: -3.751828 0.024207 0.013342 0.019479 -2.510495 0.050000 0.376274 0.055522 0.688895 0.887029 0.890893 0.000012 0.043688 0.131472 0.000001 0.000000
#> Iteration: 750 bestvalit: 32.255492 bestmemit: -3.747115 0.024194 0.013332 0.019469 -2.510378 0.050000 0.377262 0.055504 0.689022 0.886849 0.891007 0.000012 0.044154 0.131607 0.000005 0.000015
#> Iteration: 775 bestvalit: 32.255404 bestmemit: -3.752277 0.024194 0.013329 0.019467 -2.510354 0.050000 0.377097 0.055509 0.689942 0.886202 0.890526 0.000019 0.044161 0.131537 0.000005 0.000017
#> Iteration: 800 bestvalit: 32.255373 bestmemit: -3.754430 0.024195 0.013334 0.019471 -2.510395 0.050000 0.377399 0.055519 0.689739 0.886122 0.890643 0.000025 0.044303 0.131512 0.000001 0.000024
#> Iteration: 825 bestvalit: 32.255265 bestmemit: -3.764371 0.024189 0.013327 0.019464 -2.510298 0.050000 0.376509 0.055564 0.688803 0.885978 0.890939 0.000052 0.044185 0.131062 0.000017 0.000042
#> Iteration: 850 bestvalit: 32.253487 bestmemit: -3.788122 0.024215 0.013370 0.019489 -2.510636 0.050000 0.375869 0.055464 0.690514 0.888514 0.891698 0.000461 0.045530 0.129786 0.000414 0.000180
#> Iteration: 875 bestvalit: 32.161571 bestmemit: -3.757533 0.024415 0.013483 0.019629 -2.512299 0.050013 0.370811 0.053720 0.649179 0.885907 0.887233 0.025226 0.051070 0.135505 0.026977 0.009240
#> Iteration: 900 bestvalit: 31.901072 bestmemit: -4.385813 0.024171 0.013384 0.019444 -2.510634 0.050039 0.369251 0.050005 0.658653 0.852612 0.884838 0.073549 0.038562 0.142026 0.078833 0.026770
#> Iteration: 925 bestvalit: 31.883784 bestmemit: -4.234721 0.024100 0.013365 0.019349 -2.509872 0.050035 0.376440 0.050002 0.657125 0.867709 0.889455 0.066310 0.041203 0.146241 0.071129 0.024076
#> Iteration: 950 bestvalit: 31.847472 bestmemit: -4.135543 0.023924 0.013090 0.019198 -2.506545 0.050027 0.377243 0.050001 0.648335 0.866590 0.886299 0.049600 0.035635 0.138374 0.048983 0.018162
#> Iteration: 975 bestvalit: 31.780019 bestmemit: -4.211028 0.024030 0.013283 0.019321 -2.508429 0.050021 0.394958 0.050000 0.649692 0.855509 0.879892 0.028727 0.039199 0.139624 0.024909 0.010793
#> Iteration: 1000 bestvalit: 31.667478 bestmemit: -5.123365 0.024061 0.013351 0.019317 -2.509052 0.050014 0.384016 0.050000 0.643943 0.858335 0.880126 0.000913 0.034494 0.142223 0.000579 0.000033
#> Iteration: 1025 bestvalit: 31.658794 bestmemit: -5.542131 0.024173 0.013353 0.019384 -2.510103 0.050016 0.374956 0.050000 0.640167 0.852592 0.879403 0.000118 0.034763 0.144484 0.000007 0.000036
#> Iteration: 1050 bestvalit: 31.658484 bestmemit: -5.569350 0.024172 0.013367 0.019385 -2.510081 0.050016 0.373986 0.050000 0.640676 0.853089 0.880063 0.000003 0.034594 0.143843 0.000001 0.000026
#> Iteration: 1075 bestvalit: 31.658384 bestmemit: -5.563335 0.024163 0.013363 0.019375 -2.509944 0.050016 0.375044 0.050000 0.639849 0.853211 0.880013 0.000000 0.034629 0.143776 0.000000 0.000007
#> Iteration: 1100 bestvalit: 31.658359 bestmemit: -5.556199 0.024158 0.013364 0.019371 -2.509879 0.050016 0.375016 0.050000 0.639833 0.853414 0.879863 0.000000 0.034556 0.143755 0.000000 0.000003
#> Iteration: 1125 bestvalit: 31.658258 bestmemit: -5.697026 0.024152 0.013365 0.019368 -2.509869 0.050016 0.374847 0.050001 0.639763 0.853123 0.879505 0.000000 0.034615 0.144271 0.000017 0.000145
#> Iteration: 1150 bestvalit: 31.658170 bestmemit: -5.732714 0.024149 0.013371 0.019367 -2.509838 0.050017 0.374923 0.050001 0.640281 0.853244 0.879282 0.000000 0.034964 0.144031 0.000001 0.000125
#> Iteration: 1175 bestvalit: 31.657848 bestmemit: -6.151171 0.024145 0.013366 0.019363 -2.509769 0.050019 0.375697 0.050002 0.641966 0.854012 0.879970 0.000001 0.034983 0.144048 0.000001 0.000010
#> Iteration: 1200 bestvalit: 31.657778 bestmemit: -6.332472 0.024149 0.013365 0.019364 -2.509823 0.050019 0.375360 0.050002 0.641379 0.853282 0.879505 0.000001 0.034854 0.144266 0.000000 0.000000
#> Iteration: 1225 bestvalit: 31.657776 bestmemit: -6.328439 0.024149 0.013366 0.019364 -2.509819 0.050019 0.375286 0.050002 0.641359 0.853413 0.879473 0.000001 0.034902 0.144216 0.000000 0.000000
#> Iteration: 1250 bestvalit: 31.657775 bestmemit: -6.342260 0.024149 0.013366 0.019364 -2.509820 0.050019 0.375260 0.050002 0.641364 0.853428 0.879473 0.000000 0.034914 0.144192 0.000000 0.000000
#> ... Finished Calibration.
#> Best solution: 31.6577747020588
#> Warning: Best solution was > reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.3State.normal.boxcox.AR0.a0std
#> Reference model name for maximum acceptable calib. solution: model.2State.normal.boxcox.AR3.a0std
#> Reference model maximum acceptable calib. solution: 26.7534464869762
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 69.918130 bestmemit: -2.030978 0.090953 0.010944 0.082132 -2.386930 0.100331 0.687161 0.525992 0.617206 0.942263 0.684531 0.719609 0.022102 0.098733 0.547478 0.164056
#> Iteration: 50 bestvalit: 44.611764 bestmemit: -4.643460 0.019916 0.017914 0.010449 -2.470200 0.454440 0.094921 0.216352 0.346924 0.752603 0.777975 0.524806 0.156018 0.005874 0.385451 0.590150
#> Iteration: 75 bestvalit: 37.216301 bestmemit: -2.638348 0.011461 0.022252 0.018345 -2.504216 0.371283 0.068461 0.054651 0.475576 0.818081 0.760427 0.265255 0.139509 0.129129 0.676822 0.412613
#> Iteration: 100 bestvalit: 35.629362 bestmemit: -2.930233 0.012810 0.024560 0.019644 -2.514345 0.443206 0.050863 0.050457 0.521490 0.654108 0.875949 0.363851 0.124747 0.129322 0.537059 0.248690
#> Iteration: 125 bestvalit: 35.211115 bestmemit: -2.706883 0.012678 0.024219 0.019222 -2.506233 0.407033 0.050059 0.050059 0.590304 0.590171 0.829011 0.341723 0.092341 0.108323 0.667549 0.147814
#> Iteration: 150 bestvalit: 34.394748 bestmemit: -3.414328 0.013249 0.024660 0.019758 -2.516768 0.361899 0.050178 0.050068 0.632132 0.619697 0.865913 0.322187 0.046978 0.120045 0.807532 0.023734
#> Iteration: 175 bestvalit: 34.034626 bestmemit: -3.766610 0.013793 0.024436 0.019560 -2.512502 0.355449 0.050532 0.051842 0.705548 0.591539 0.872268 0.286985 0.044729 0.101691 0.766142 0.060766
#> Iteration: 200 bestvalit: 33.272855 bestmemit: -4.354706 0.013145 0.023831 0.019069 -2.504921 0.384315 0.052890 0.058213 0.823015 0.644259 0.863797 0.311484 0.002947 0.095452 0.568274 0.006694
#> Iteration: 225 bestvalit: 33.214033 bestmemit: -3.959335 0.013482 0.024129 0.019373 -2.508916 0.376518 0.052850 0.057834 0.818426 0.651239 0.859758 0.284474 0.000506 0.103424 0.569609 0.000614
#> Iteration: 250 bestvalit: 33.001712 bestmemit: -3.718275 0.013173 0.023737 0.019026 -2.502946 0.365888 0.052169 0.060784 0.813269 0.624419 0.857348 0.189915 0.007875 0.087704 0.239224 0.000564
#> Iteration: 275 bestvalit: 32.899006 bestmemit: -3.766119 0.013101 0.024063 0.019209 -2.505542 0.362531 0.051777 0.063296 0.802847 0.617915 0.863663 0.172771 0.000091 0.096660 0.000934 0.009073
#> Iteration: 300 bestvalit: 32.889970 bestmemit: -3.808198 0.013081 0.023941 0.019142 -2.504667 0.362524 0.051855 0.063419 0.811280 0.618322 0.864660 0.170921 0.000005 0.095679 0.002273 0.009170
#> Iteration: 325 bestvalit: 32.869358 bestmemit: -3.738921 0.013193 0.024011 0.019217 -2.505999 0.367738 0.050846 0.062997 0.800832 0.606441 0.862090 0.123774 0.000072 0.100972 0.017013 0.008680
#> Iteration: 350 bestvalit: 32.801234 bestmemit: -3.679253 0.013316 0.024222 0.019364 -2.508147 0.366753 0.050003 0.062435 0.811445 0.624550 0.858215 0.173848 0.000002 0.101695 0.063494 0.003760
#> Iteration: 375 bestvalit: 32.785464 bestmemit: -3.894768 0.013345 0.024131 0.019354 -2.508228 0.367621 0.050036 0.062402 0.817272 0.625803 0.860707 0.215750 0.000001 0.100140 0.079077 0.000245
#> Iteration: 400 bestvalit: 32.782347 bestmemit: -3.879691 0.013364 0.024137 0.019361 -2.508328 0.365759 0.050002 0.062393 0.818920 0.626967 0.859776 0.213844 0.000001 0.098078 0.077801 0.000294
#> Iteration: 425 bestvalit: 32.779873 bestmemit: -3.891333 0.013372 0.024194 0.019413 -2.508881 0.365500 0.050001 0.062498 0.821647 0.627365 0.862694 0.221545 0.000002 0.096099 0.067785 0.000017
#> Iteration: 450 bestvalit: 32.777937 bestmemit: -3.932053 0.013326 0.024156 0.019390 -2.508431 0.367590 0.050005 0.062736 0.820731 0.632526 0.865713 0.219747 0.000000 0.095011 0.052227 0.000020
#> Iteration: 475 bestvalit: 32.777203 bestmemit: -3.890019 0.013327 0.024141 0.019375 -2.508288 0.367389 0.050001 0.062692 0.819547 0.631217 0.865344 0.215077 0.000001 0.094918 0.049532 0.000007
#> Iteration: 500 bestvalit: 32.776267 bestmemit: -3.893905 0.013326 0.024139 0.019372 -2.508114 0.367560 0.050000 0.062859 0.819713 0.633331 0.865892 0.209081 0.000001 0.095527 0.039241 0.000040
#> Iteration: 525 bestvalit: 32.772465 bestmemit: -3.895191 0.013346 0.024157 0.019384 -2.508268 0.369025 0.050001 0.063269 0.823032 0.631430 0.864950 0.229103 0.000001 0.094439 0.000283 0.000494
#> Iteration: 550 bestvalit: 32.771722 bestmemit: -3.905515 0.013323 0.024123 0.019348 -2.507864 0.368224 0.050001 0.063295 0.821211 0.630520 0.864245 0.216730 0.000001 0.095540 0.000015 0.000450
#> Iteration: 575 bestvalit: 32.771676 bestmemit: -3.900296 0.013322 0.024124 0.019348 -2.507886 0.368574 0.050001 0.063287 0.821319 0.630689 0.864361 0.217367 0.000000 0.095454 0.000009 0.000421
#> Iteration: 600 bestvalit: 32.771652 bestmemit: -3.903833 0.013320 0.024117 0.019345 -2.507817 0.368677 0.050002 0.063288 0.821292 0.630709 0.864634 0.218379 0.000000 0.095503 0.000037 0.000382
#> Iteration: 625 bestvalit: 32.771162 bestmemit: -3.883225 0.013322 0.024130 0.019359 -2.507934 0.368423 0.050001 0.063227 0.819969 0.628938 0.864974 0.220945 0.000000 0.095770 0.000002 0.000011
#> Iteration: 650 bestvalit: 32.770770 bestmemit: -3.902686 0.013325 0.024125 0.019348 -2.507880 0.368777 0.050000 0.063245 0.820951 0.629625 0.864571 0.224642 0.000000 0.095347 0.000008 0.000002
#> Iteration: 675 bestvalit: 32.770730 bestmemit: -3.905051 0.013323 0.024121 0.019345 -2.507865 0.368233 0.050000 0.063243 0.820987 0.628808 0.864294 0.223812 0.000000 0.095454 0.000027 0.000000
#> Iteration: 700 bestvalit: 32.770667 bestmemit: -3.903095 0.013320 0.024117 0.019343 -2.507850 0.368173 0.050000 0.063242 0.821253 0.628944 0.864239 0.223905 0.000000 0.095403 0.000001 0.000001
#> Iteration: 725 bestvalit: 32.770359 bestmemit: -3.906874 0.013303 0.024120 0.019342 -2.507867 0.366876 0.050000 0.063279 0.820950 0.630216 0.863058 0.216678 0.000000 0.095700 0.000055 0.000003
#> Iteration: 750 bestvalit: 32.769923 bestmemit: -3.903450 0.013319 0.024118 0.019339 -2.507797 0.368216 0.050000 0.063301 0.823139 0.630781 0.863181 0.214911 0.000000 0.094901 0.000241 0.000002
#> Iteration: 775 bestvalit: 32.769895 bestmemit: -3.899640 0.013327 0.024124 0.019344 -2.507867 0.367895 0.050000 0.063293 0.823129 0.631173 0.863271 0.214625 0.000000 0.094846 0.000250 0.000000
#> Iteration: 800 bestvalit: 32.769859 bestmemit: -3.899258 0.013325 0.024124 0.019344 -2.507872 0.367967 0.050000 0.063296 0.823301 0.631155 0.863162 0.214748 0.000000 0.094824 0.000230 0.000000
#> Iteration: 825 bestvalit: 32.769858 bestmemit: -3.900843 0.013326 0.024124 0.019344 -2.507874 0.367937 0.050000 0.063297 0.823302 0.631013 0.863173 0.214579 0.000000 0.094844 0.000233 0.000000
#> ... Finished Calibration.
#> Best solution: 32.769857140384
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 32.769857140384
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 78.841360 bestmemit: -8.257241 -0.151699 -0.026467 0.033840 -2.841694 0.367811 0.148615 0.494425 0.800405 0.892025 0.927785 0.326922 0.428357 0.013231 0.851164 0.625784
#> Iteration: 50 bestvalit: 51.090251 bestmemit: -3.976178 -0.305385 -0.240219 0.013992 -2.448402 0.677453 0.521511 0.320978 0.819927 0.336010 0.998537 0.537870 0.234893 0.001661 0.297018 0.162129
#> Iteration: 75 bestvalit: 48.149996 bestmemit: -3.676986 -0.494291 0.007011 0.015437 -2.450070 0.519310 0.658309 0.248610 0.949803 0.203942 0.908973 0.288451 0.038601 0.011075 0.142419 0.422730
#> Iteration: 100 bestvalit: 37.461342 bestmemit: -5.557682 0.009340 0.004619 0.015941 -2.448721 0.519434 0.057786 0.154282 0.944048 0.190273 0.977333 0.226302 0.551135 0.012871 0.254434 0.189043
#> Iteration: 125 bestvalit: 36.451722 bestmemit: -5.360584 0.009239 0.004447 0.015775 -2.446908 0.474150 0.050115 0.128258 0.965458 0.204568 0.980575 0.353450 0.417557 0.017481 0.002623 0.102129
#> Iteration: 150 bestvalit: 35.749107 bestmemit: -4.027521 0.009784 0.004922 0.016388 -2.454352 0.431194 0.050060 0.116714 0.909441 0.116669 0.981356 0.970816 0.073404 0.020266 0.007214 0.020946
#> Iteration: 175 bestvalit: 35.603510 bestmemit: -4.620648 0.009296 0.004492 0.016070 -2.450072 0.451552 0.050337 0.117514 0.938497 0.087322 0.978308 0.993831 0.028276 0.018465 0.045814 0.000949
#> Iteration: 200 bestvalit: 35.548994 bestmemit: -4.603551 0.008905 0.004352 0.015980 -2.449449 0.459054 0.050005 0.117458 0.947007 0.080984 0.980736 0.998633 0.003371 0.016415 0.025821 0.001289
#> Iteration: 225 bestvalit: 35.496104 bestmemit: -4.739509 0.009402 0.004529 0.016210 -2.452350 0.460235 0.050139 0.118825 0.944386 0.080716 0.980259 0.998791 0.001142 0.016080 0.000877 0.000271
#> Iteration: 250 bestvalit: 35.471937 bestmemit: -4.796267 0.009289 0.004362 0.016048 -2.450634 0.455058 0.050016 0.118150 0.949771 0.068401 0.981662 0.999966 0.000044 0.016336 0.000166 0.000105
#> Iteration: 275 bestvalit: 35.469791 bestmemit: -4.829057 0.009306 0.004390 0.016044 -2.450559 0.454527 0.050001 0.118502 0.950391 0.067549 0.981708 0.998478 0.000072 0.016180 0.000058 0.000014
#> Iteration: 300 bestvalit: 35.459028 bestmemit: -4.798631 0.009289 0.004422 0.016061 -2.451034 0.435244 0.050001 0.119008 0.950936 0.067120 0.981163 0.989181 0.000054 0.014913 0.000005 0.000012
#> Iteration: 325 bestvalit: 35.456269 bestmemit: -4.857871 0.009309 0.004381 0.016044 -2.450718 0.435708 0.050015 0.119233 0.954180 0.064626 0.981329 0.999459 0.000032 0.014911 0.000018 0.000000
#> Iteration: 350 bestvalit: 35.453203 bestmemit: -4.836816 0.009336 0.004432 0.016082 -2.451076 0.430881 0.050002 0.118954 0.952873 0.066236 0.980668 0.999930 0.000356 0.014902 0.000016 0.000002
#> Iteration: 375 bestvalit: 35.452460 bestmemit: -4.834301 0.009368 0.004489 0.016120 -2.451458 0.430332 0.050000 0.118760 0.952715 0.066302 0.980742 0.999972 0.000569 0.014784 0.000020 0.000001
#> Iteration: 400 bestvalit: 35.451452 bestmemit: -4.844865 0.009365 0.004479 0.016139 -2.451575 0.430276 0.050000 0.118692 0.954043 0.064772 0.980908 0.999971 0.000001 0.014756 0.000047 0.000010
#> Iteration: 425 bestvalit: 35.451373 bestmemit: -4.848292 0.009378 0.004488 0.016145 -2.451658 0.430929 0.050000 0.118673 0.953694 0.065153 0.980871 0.999997 0.000000 0.014765 0.000017 0.000002
#> Iteration: 450 bestvalit: 35.451363 bestmemit: -4.848236 0.009377 0.004488 0.016146 -2.451671 0.431103 0.050000 0.118696 0.953701 0.065126 0.980891 1.000000 0.000001 0.014749 0.000013 0.000000
#> Iteration: 475 bestvalit: 35.451356 bestmemit: -4.849999 0.009373 0.004485 0.016144 -2.451646 0.431235 0.050000 0.118678 0.953839 0.064964 0.980916 0.999999 0.000000 0.014745 0.000011 0.000000
#> Iteration: 500 bestvalit: 35.451349 bestmemit: -4.853334 0.009375 0.004484 0.016143 -2.451625 0.430972 0.050000 0.118712 0.953965 0.064868 0.980885 1.000000 0.000000 0.014745 0.000012 0.000000
#> Iteration: 525 bestvalit: 35.451331 bestmemit: -4.854454 0.009377 0.004482 0.016144 -2.451630 0.430948 0.050000 0.118710 0.954030 0.064795 0.980893 1.000000 0.000000 0.014757 0.000000 0.000000
#> Iteration: 550 bestvalit: 35.451327 bestmemit: -4.853031 0.009376 0.004482 0.016144 -2.451640 0.430993 0.050000 0.118695 0.954001 0.064818 0.980899 1.000000 0.000001 0.014761 0.000000 0.000000
#> Iteration: 575 bestvalit: 35.451327 bestmemit: -4.853053 0.009377 0.004483 0.016145 -2.451647 0.430944 0.050000 0.118696 0.953997 0.064823 0.980898 1.000000 0.000000 0.014758 0.000000 0.000000
#> ... Finished Calibration.
#> Best solution: 35.4513259692938
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 32.769857140384
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 60.334206 bestmemit: -1.552201 0.008466 0.427216 0.000215 -2.324232 0.293359 0.569825 0.590200 0.895469 0.421909 0.832915 0.585561 0.213166 0.031147 0.841444 0.425923
#> Iteration: 50 bestvalit: 54.940256 bestmemit: -3.861462 0.013341 0.322791 -0.263592 -2.421096 0.397006 0.625989 0.538349 0.987656 0.569508 0.841903 0.595759 0.197551 0.351065 0.673993 0.573499
#> Iteration: 75 bestvalit: 51.451940 bestmemit: -3.669331 0.013611 0.263191 -0.010623 -2.442770 0.270673 0.611140 0.381165 0.994834 0.484882 0.709358 0.636464 0.352540 0.457744 0.861014 0.267636
#> Iteration: 100 bestvalit: 41.029096 bestmemit: -9.965993 0.019040 0.012959 0.265978 -2.486213 0.106864 0.563752 0.415955 0.960252 0.978575 0.691236 0.646798 0.112786 0.314963 0.260620 0.670141
#> Iteration: 125 bestvalit: 40.418818 bestmemit: -7.644786 0.018727 0.012576 0.010041 -2.484117 0.073693 0.564840 0.433697 0.947498 0.978313 0.786328 0.873989 0.173913 0.394764 0.380069 0.557535
#> Iteration: 150 bestvalit: 37.565631 bestmemit: -4.504301 0.014549 0.008003 -0.412785 -2.434414 0.134912 0.499965 0.488016 0.962136 0.993638 0.967951 0.989890 0.108068 0.567611 0.967465 0.483194
#> Iteration: 175 bestvalit: 37.083488 bestmemit: -6.519930 0.015916 0.009730 0.012722 -2.448680 0.111428 0.424108 0.353832 0.960376 0.999505 0.261857 0.965591 0.107484 0.552678 0.948245 0.752874
#> Iteration: 200 bestvalit: 36.900535 bestmemit: -6.303759 0.015833 0.009184 0.008057 -2.447689 0.123582 0.426896 0.577203 0.963506 0.998074 0.442816 0.746650 0.095646 0.515389 0.969213 0.772556
#> Iteration: 225 bestvalit: 36.570991 bestmemit: -8.559232 0.016003 0.009082 0.006224 -2.450907 0.116664 0.440869 0.122755 0.968153 0.998033 0.209402 0.560131 0.073246 0.597858 0.954305 0.353529
#> Iteration: 250 bestvalit: 36.193367 bestmemit: -8.435701 0.016088 0.009209 0.004953 -2.451763 0.126134 0.432131 0.051570 0.964231 0.997779 0.201287 0.362381 0.075674 0.579430 0.954846 0.423306
#> Iteration: 275 bestvalit: 35.996220 bestmemit: -8.545902 0.015858 0.009210 0.004914 -2.449117 0.116895 0.412876 0.054632 0.962143 0.996406 0.105525 0.361832 0.040324 0.723769 0.989801 0.711450
#> Iteration: 300 bestvalit: 35.694437 bestmemit: -4.973510 0.016254 0.009328 0.004873 -2.453070 0.119279 0.418494 0.050354 0.965164 0.986899 0.433890 0.399506 0.003580 0.917688 0.983430 0.473873
#> Iteration: 325 bestvalit: 35.497979 bestmemit: -7.251782 0.016194 0.009492 0.004618 -2.452677 0.119438 0.452297 0.050564 0.964865 0.959357 0.953214 0.469687 0.004977 0.936403 0.999503 0.536040
#> Iteration: 350 bestvalit: 35.464062 bestmemit: -5.534759 0.016181 0.009482 0.004441 -2.452512 0.119872 0.441895 0.050085 0.967033 0.953819 0.967632 0.489576 0.000010 0.934720 0.997710 0.463247
#> Iteration: 375 bestvalit: 35.450196 bestmemit: -5.656398 0.016231 0.009513 0.004640 -2.453104 0.119476 0.433684 0.050091 0.965541 0.955107 0.977039 0.466256 0.000018 0.935095 0.998673 0.492486
#> Iteration: 400 bestvalit: 35.444378 bestmemit: -6.367691 0.016278 0.009477 0.004662 -2.453447 0.119523 0.432040 0.050003 0.965336 0.954219 0.992876 0.455567 0.000074 0.934860 0.999859 0.806734
#> Iteration: 425 bestvalit: 35.443239 bestmemit: -7.135250 0.016229 0.009423 0.004622 -2.452889 0.119452 0.428469 0.050005 0.965607 0.954735 0.999727 0.453795 0.000010 0.935891 0.999801 0.248362
#> Iteration: 450 bestvalit: 35.442906 bestmemit: -7.008298 0.016230 0.009444 0.004622 -2.452912 0.119311 0.429220 0.050001 0.965554 0.954388 0.999511 0.451139 0.000004 0.935447 0.999982 0.099315
#> Iteration: 475 bestvalit: 35.442759 bestmemit: -7.475517 0.016237 0.009438 0.004628 -2.453014 0.119286 0.429163 0.050000 0.965637 0.954493 0.999728 0.451461 0.000000 0.935624 0.999998 0.693404
#> Iteration: 500 bestvalit: 35.442733 bestmemit: -7.736006 0.016249 0.009450 0.004642 -2.453156 0.119272 0.429035 0.050000 0.965599 0.954619 0.999936 0.451252 0.000001 0.935737 0.999999 0.806712
#> Iteration: 525 bestvalit: 35.442716 bestmemit: -8.536295 0.016247 0.009446 0.004640 -2.453124 0.119313 0.429061 0.050000 0.965623 0.954667 0.999995 0.451744 0.000000 0.935818 0.999999 0.110063
#> Iteration: 550 bestvalit: 35.442710 bestmemit: -8.042719 0.016248 0.009447 0.004641 -2.453147 0.119320 0.429354 0.050000 0.965593 0.954607 0.999989 0.451689 0.000000 0.935740 1.000000 0.855036
#> Iteration: 575 bestvalit: 35.442708 bestmemit: -8.173984 0.016247 0.009447 0.004641 -2.453130 0.119345 0.429287 0.050000 0.965610 0.954568 0.999998 0.451482 0.000000 0.935704 1.000000 0.589315
#> Iteration: 600 bestvalit: 35.442707 bestmemit: -8.089472 0.016246 0.009446 0.004641 -2.453127 0.119336 0.429314 0.050000 0.965618 0.954597 0.999998 0.451528 0.000000 0.935739 1.000000 0.657850
#> ... Finished Calibration.
#> Best solution: 35.4427073047836
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 32.769857140384
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 67.528468 bestmemit: -3.686784 -0.381689 0.032624 0.025744 -2.684675 0.290280 0.536487 0.543406 0.822151 0.939859 0.930428 0.697637 0.081234 0.067259 0.521970 0.817076
#> Iteration: 50 bestvalit: 44.467345 bestmemit: -4.398769 0.014232 0.009420 0.424306 -2.435138 0.215474 0.695948 0.738725 0.956330 0.893926 0.870695 0.469623 0.079325 0.306976 0.375205 0.668114
#> Iteration: 75 bestvalit: 38.178676 bestmemit: -3.680619 0.016696 0.009407 0.010968 -2.457847 0.132672 0.428787 0.468447 0.978210 0.911044 0.784091 0.587418 0.090213 0.161506 0.362340 0.517075
#> Iteration: 100 bestvalit: 36.233633 bestmemit: -4.656900 0.017405 0.010198 0.014927 -2.461748 0.111668 0.403595 0.050670 0.920094 0.923804 0.689894 0.599582 0.092295 0.335148 0.355786 0.515532
#> Iteration: 125 bestvalit: 35.684723 bestmemit: -3.483751 0.017326 0.010579 0.015097 -2.460027 0.124126 0.354674 0.050079 0.923265 0.934537 0.818894 0.567055 0.085216 0.258876 0.232214 0.254455
#> Iteration: 150 bestvalit: 32.868877 bestmemit: -5.713656 0.024282 0.013493 0.019677 -2.515261 0.051854 0.375766 0.054267 0.705300 0.916488 0.926387 0.230982 0.050205 0.142525 0.030942 0.015712
#> Iteration: 175 bestvalit: 32.422587 bestmemit: -7.168344 0.023767 0.013112 0.019001 -2.504163 0.050398 0.391724 0.052731 0.638012 0.899338 0.914041 0.235960 0.035552 0.136330 0.002351 0.000735
#> Iteration: 200 bestvalit: 31.800059 bestmemit: -8.446445 0.024305 0.013187 0.019461 -2.510390 0.050249 0.388793 0.050038 0.655268 0.850580 0.894277 0.016205 0.021446 0.145195 0.010026 0.008658
#> Iteration: 225 bestvalit: 31.694944 bestmemit: -8.819609 0.024188 0.013284 0.019345 -2.509528 0.050016 0.382086 0.050033 0.655636 0.841227 0.875294 0.000307 0.023773 0.146850 0.002837 0.004140
#> Iteration: 250 bestvalit: 31.681385 bestmemit: -8.980563 0.024052 0.013227 0.019267 -2.508375 0.050001 0.371065 0.050001 0.647383 0.839475 0.873846 0.000213 0.022750 0.150207 0.000392 0.000546
#> Iteration: 275 bestvalit: 31.679673 bestmemit: -8.844327 0.024069 0.013249 0.019277 -2.508624 0.050003 0.372964 0.050001 0.651460 0.841887 0.875295 0.000214 0.023388 0.147612 0.000007 0.000050
#> Iteration: 300 bestvalit: 31.679064 bestmemit: -8.831812 0.024065 0.013263 0.019278 -2.508636 0.050000 0.373690 0.050000 0.651043 0.841955 0.875565 0.000031 0.023421 0.146779 0.000034 0.000088
#> Iteration: 325 bestvalit: 31.678586 bestmemit: -8.806721 0.024058 0.013246 0.019273 -2.508458 0.050000 0.372883 0.050000 0.650029 0.843136 0.876411 0.000006 0.023380 0.146974 0.000002 0.000518
#> Iteration: 350 bestvalit: 31.676977 bestmemit: -8.788301 0.024036 0.013240 0.019264 -2.508257 0.050000 0.376647 0.050000 0.650380 0.842874 0.877388 0.000019 0.025070 0.146741 0.000021 0.003382
#> Iteration: 375 bestvalit: 31.674363 bestmemit: -8.775734 0.024081 0.013292 0.019298 -2.508780 0.050001 0.374222 0.050006 0.646884 0.846630 0.877643 0.000303 0.028283 0.146239 0.000002 0.010146
#> Iteration: 400 bestvalit: 31.674007 bestmemit: -8.756329 0.024109 0.013320 0.019321 -2.509185 0.050000 0.375709 0.050007 0.647099 0.847401 0.877300 0.000240 0.028687 0.145557 0.000000 0.010732
#> Iteration: 425 bestvalit: 31.673675 bestmemit: -8.728861 0.024116 0.013320 0.019329 -2.509257 0.050000 0.375088 0.050008 0.647705 0.848235 0.877820 0.000082 0.028816 0.145565 0.000000 0.010821
#> Iteration: 450 bestvalit: 31.673434 bestmemit: -8.790758 0.024112 0.013308 0.019324 -2.509211 0.050000 0.374502 0.050008 0.646259 0.846696 0.877614 0.000001 0.028555 0.145781 0.000000 0.010760
#> Iteration: 475 bestvalit: 31.673090 bestmemit: -8.752649 0.024115 0.013320 0.019336 -2.509425 0.050000 0.375077 0.050010 0.646592 0.847457 0.878050 0.000088 0.028847 0.145426 0.000000 0.010383
#> Iteration: 500 bestvalit: 31.665618 bestmemit: -8.692366 0.024060 0.013315 0.019292 -2.508707 0.050002 0.374010 0.050033 0.645926 0.849795 0.880236 0.001211 0.031031 0.145477 0.000001 0.000290
#> Iteration: 525 bestvalit: 31.663686 bestmemit: -8.712787 0.024125 0.013349 0.019340 -2.509459 0.050002 0.375531 0.050046 0.643173 0.851464 0.879065 0.001597 0.032874 0.144874 0.000002 0.000044
#> Iteration: 550 bestvalit: 31.663637 bestmemit: -8.716839 0.024127 0.013348 0.019344 -2.509517 0.050002 0.375372 0.050046 0.643150 0.851272 0.879108 0.001603 0.032858 0.144983 0.000001 0.000000
#> Iteration: 575 bestvalit: 31.663557 bestmemit: -8.725594 0.024127 0.013342 0.019342 -2.509507 0.050002 0.375171 0.050046 0.643085 0.851173 0.878893 0.001591 0.032828 0.145142 0.000000 0.000000
#> Iteration: 600 bestvalit: 31.663537 bestmemit: -8.742139 0.024128 0.013341 0.019342 -2.509488 0.050002 0.375214 0.050045 0.642735 0.850717 0.878771 0.001573 0.032636 0.145253 0.000000 0.000000
#> Iteration: 625 bestvalit: 31.663070 bestmemit: -8.747594 0.024127 0.013323 0.019343 -2.509473 0.050000 0.375202 0.050036 0.643744 0.849684 0.879200 0.001471 0.032244 0.145210 0.000000 0.000036
#> Iteration: 650 bestvalit: 31.662533 bestmemit: -8.730234 0.024129 0.013328 0.019343 -2.509496 0.050000 0.374721 0.050036 0.642890 0.850947 0.879540 0.001494 0.032911 0.144530 0.000000 0.000027
#> Iteration: 675 bestvalit: 31.658961 bestmemit: -8.728031 0.024081 0.013337 0.019322 -2.509190 0.050002 0.374827 0.050011 0.642154 0.852975 0.880392 0.000065 0.035134 0.144463 0.000004 0.000000
#> Iteration: 700 bestvalit: 31.657871 bestmemit: -8.748792 0.024147 0.013363 0.019363 -2.509813 0.050002 0.376316 0.050011 0.641664 0.852787 0.879811 0.000002 0.034317 0.144464 0.000004 0.000001
#> Iteration: 725 bestvalit: 31.657799 bestmemit: -8.745416 0.024141 0.013361 0.019358 -2.509711 0.050002 0.376007 0.050011 0.641780 0.853089 0.879673 0.000000 0.034738 0.144294 0.000004 0.000000
#> Iteration: 750 bestvalit: 31.657675 bestmemit: -8.783382 0.024136 0.013357 0.019354 -2.509663 0.050002 0.375183 0.050009 0.641138 0.852249 0.879320 0.000001 0.034835 0.144627 0.000004 0.000002
#> Iteration: 775 bestvalit: 31.657186 bestmemit: -8.745379 0.024137 0.013362 0.019354 -2.509670 0.050000 0.376085 0.050005 0.641359 0.853294 0.879476 0.000002 0.034883 0.144374 0.000004 0.000005
#> Iteration: 800 bestvalit: 31.657180 bestmemit: -8.744310 0.024138 0.013361 0.019355 -2.509676 0.050000 0.376037 0.050005 0.641376 0.853293 0.879504 0.000000 0.034792 0.144415 0.000004 0.000005
#> Iteration: 825 bestvalit: 31.657175 bestmemit: -8.750262 0.024139 0.013361 0.019356 -2.509684 0.050000 0.375873 0.050005 0.641178 0.853165 0.879525 0.000000 0.034763 0.144353 0.000004 0.000004
#> Iteration: 850 bestvalit: 31.657130 bestmemit: -8.744344 0.024136 0.013358 0.019354 -2.509661 0.050000 0.376038 0.050004 0.641348 0.853275 0.879603 0.000000 0.034896 0.144346 0.000003 0.000000
#> Iteration: 875 bestvalit: 31.657128 bestmemit: -8.743515 0.024137 0.013360 0.019355 -2.509677 0.050000 0.375931 0.050004 0.641361 0.853299 0.879622 0.000000 0.034846 0.144404 0.000003 0.000000
#> Iteration: 900 bestvalit: 31.657126 bestmemit: -8.744083 0.024137 0.013360 0.019355 -2.509671 0.050000 0.375925 0.050004 0.641304 0.853324 0.879574 0.000000 0.034796 0.144438 0.000003 0.000000
#> ... Finished Calibration.
#> Best solution: 31.6571254903261
#>
#> ... Doing Calibration Trial 5 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6571254903261
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 54.488424 bestmemit: -2.887963 0.015045 0.165040 0.270818 -2.455886 0.428141 0.637444 0.179635 0.991423 0.744696 0.441852 0.633465 0.294856 0.073290 0.153951 0.912708
#> Iteration: 50 bestvalit: 53.959879 bestmemit: -2.880192 0.012098 0.167507 0.277148 -2.422113 0.421780 0.630272 0.175654 0.996803 0.743033 0.442278 0.629859 0.297911 0.068393 0.149831 0.914080
#> Iteration: 75 bestvalit: 48.063028 bestmemit: -3.770702 0.014087 0.004332 0.006039 -2.441643 0.339227 0.199736 0.198452 0.990113 0.654624 0.814797 0.725600 0.280662 0.291790 0.653350 0.652452
#> Iteration: 100 bestvalit: 40.344450 bestmemit: -3.946516 0.017905 0.015147 0.010015 -2.470323 0.239051 0.050865 0.425708 0.993757 0.480565 0.982986 0.375859 0.411882 0.021881 0.602588 0.609423
#> Iteration: 125 bestvalit: 37.435997 bestmemit: -3.932331 0.017695 0.015715 0.009400 -2.469245 0.174770 0.052842 0.476581 0.972854 0.512237 0.816103 0.611539 0.532124 0.048492 0.004731 0.973777
#> Iteration: 150 bestvalit: 36.815794 bestmemit: -3.584256 0.016070 0.013999 0.008211 -2.448933 0.165187 0.050448 0.424738 0.975987 0.506808 0.910072 0.451058 0.526541 0.054289 0.025739 0.977157
#> Iteration: 175 bestvalit: 36.383683 bestmemit: -4.063476 0.015989 0.014253 0.009015 -2.450100 0.159962 0.050107 0.437576 0.974309 0.545705 0.957536 0.684631 0.530026 0.048258 0.005024 0.988291
#> Iteration: 200 bestvalit: 35.976091 bestmemit: -4.443768 0.016575 0.014544 0.009900 -2.456692 0.153435 0.050005 0.462780 0.962920 0.583486 0.963027 0.998917 0.551319 0.000145 0.062358 0.983531
#> Iteration: 225 bestvalit: 35.915805 bestmemit: -4.040201 0.016481 0.014668 0.009726 -2.456341 0.157682 0.050003 0.470442 0.955735 0.577934 0.940223 0.975612 0.535935 0.000006 0.081744 0.935115
#> Iteration: 250 bestvalit: 35.500766 bestmemit: -3.706177 0.016616 0.014543 0.009442 -2.454018 0.125021 0.050310 0.445138 0.948011 0.562143 0.830707 0.463252 0.542344 0.000297 0.051167 0.996180
#> Iteration: 275 bestvalit: 35.440899 bestmemit: -3.861848 0.016898 0.014865 0.009632 -2.458053 0.122423 0.050434 0.439728 0.943700 0.575164 0.835817 0.381761 0.536352 0.000016 0.088292 0.998336
#> Iteration: 300 bestvalit: 35.369620 bestmemit: -4.283212 0.016987 0.014849 0.009680 -2.457868 0.122490 0.050013 0.424986 0.928391 0.622344 0.844943 0.521915 0.524440 0.000678 0.255466 0.999517
#> Iteration: 325 bestvalit: 35.363991 bestmemit: -4.338960 0.016941 0.014870 0.009603 -2.457715 0.123459 0.050001 0.419149 0.930526 0.620824 0.839997 0.508592 0.518859 0.000849 0.252978 0.999984
#> Iteration: 350 bestvalit: 35.348469 bestmemit: -4.542627 0.016848 0.014751 0.009541 -2.456620 0.124443 0.050006 0.423643 0.926895 0.639509 0.842536 0.566035 0.516633 0.000963 0.292011 0.999689
#> Iteration: 375 bestvalit: 35.322337 bestmemit: -4.529147 0.016928 0.014888 0.009596 -2.456992 0.125078 0.050001 0.429889 0.904945 0.676311 0.841785 0.672127 0.504244 0.001960 0.384303 0.997686
#> Iteration: 400 bestvalit: 35.293539 bestmemit: -5.875051 0.016921 0.014909 0.009512 -2.456811 0.125736 0.050001 0.420436 0.899891 0.751416 0.854792 0.661760 0.535693 0.001721 0.375485 0.984300
#> Iteration: 425 bestvalit: 35.288493 bestmemit: -6.132542 0.016926 0.014922 0.009512 -2.456988 0.124444 0.050000 0.417167 0.902649 0.758915 0.855754 0.621405 0.553046 0.001282 0.321079 0.977542
#> Iteration: 450 bestvalit: 35.271351 bestmemit: -5.569285 0.016873 0.014824 0.009468 -2.456152 0.123665 0.050001 0.418413 0.896022 0.741140 0.851311 0.630142 0.598374 0.000144 0.142521 0.949560
#> Iteration: 475 bestvalit: 35.267247 bestmemit: -5.501168 0.016876 0.014807 0.009449 -2.456066 0.123776 0.050003 0.417218 0.896742 0.733973 0.852075 0.623564 0.596104 0.001978 0.150496 0.969827
#> Iteration: 500 bestvalit: 35.262138 bestmemit: -5.347660 0.016908 0.014830 0.009493 -2.456399 0.123586 0.050007 0.417287 0.891292 0.732704 0.854627 0.650087 0.591220 0.004879 0.178446 0.999867
#> Iteration: 525 bestvalit: 35.261714 bestmemit: -5.372376 0.016889 0.014807 0.009492 -2.456139 0.123647 0.050006 0.419640 0.892771 0.732043 0.856153 0.650788 0.591937 0.004607 0.174890 0.998472
#> Iteration: 550 bestvalit: 35.259966 bestmemit: -5.329399 0.016876 0.014808 0.009483 -2.456058 0.124058 0.050000 0.419239 0.894252 0.728631 0.855628 0.643673 0.593118 0.002771 0.156393 0.984312
#> Iteration: 575 bestvalit: 35.257512 bestmemit: -5.335947 0.016906 0.014822 0.009521 -2.456309 0.123825 0.050000 0.418785 0.889059 0.736739 0.857119 0.661790 0.592053 0.004139 0.181817 0.999033
#> Iteration: 600 bestvalit: 35.253384 bestmemit: -5.232120 0.016916 0.014791 0.009477 -2.456259 0.123551 0.050002 0.418036 0.884944 0.736744 0.854116 0.667874 0.601697 0.004863 0.153441 0.999860
#> Iteration: 625 bestvalit: 35.249851 bestmemit: -5.714538 0.016946 0.014847 0.009496 -2.456749 0.122368 0.050001 0.417290 0.890848 0.749953 0.853057 0.616611 0.604642 0.004691 0.147219 0.999917
#> Iteration: 650 bestvalit: 35.247464 bestmemit: -5.523958 0.016939 0.014843 0.009490 -2.456602 0.122490 0.050000 0.415126 0.887251 0.746114 0.853067 0.640525 0.604908 0.004753 0.140778 0.999970
#> Iteration: 675 bestvalit: 35.242802 bestmemit: -6.037230 0.016922 0.014861 0.009435 -2.456513 0.122797 0.050000 0.413633 0.889511 0.766009 0.854584 0.624513 0.612005 0.005162 0.123058 0.999988
#> Iteration: 700 bestvalit: 35.231152 bestmemit: -6.475096 0.016946 0.014903 0.009554 -2.457559 0.122733 0.050000 0.418747 0.900125 0.767146 0.854819 0.598340 0.621971 0.005870 0.050937 0.999942
#> Iteration: 725 bestvalit: 35.230027 bestmemit: -6.527342 0.016949 0.014926 0.009550 -2.457755 0.123304 0.050000 0.417038 0.900624 0.768088 0.854872 0.591003 0.622704 0.006066 0.040298 0.999999
#> Iteration: 750 bestvalit: 35.218621 bestmemit: -6.430550 0.016798 0.014767 0.009424 -2.455452 0.124421 0.050002 0.419176 0.896227 0.768084 0.864938 0.596364 0.626611 0.007044 0.018282 0.999984
#> Iteration: 775 bestvalit: 35.216475 bestmemit: -6.616787 0.016774 0.014762 0.009463 -2.455288 0.123690 0.050002 0.419330 0.899182 0.772534 0.864262 0.594841 0.627877 0.006982 0.009976 0.999976
#> Iteration: 800 bestvalit: 35.214958 bestmemit: -6.697981 0.016757 0.014748 0.009437 -2.455087 0.123897 0.050002 0.419173 0.900839 0.772868 0.863437 0.580322 0.629253 0.007155 0.000034 0.999997
#> Iteration: 825 bestvalit: 35.214824 bestmemit: -6.662315 0.016777 0.014759 0.009457 -2.455315 0.123644 0.050002 0.417567 0.901228 0.770124 0.863452 0.581182 0.628953 0.007106 0.000001 1.000000
#> Iteration: 850 bestvalit: 35.214633 bestmemit: -6.762406 0.016770 0.014762 0.009450 -2.455276 0.123857 0.050002 0.417311 0.901454 0.774811 0.863964 0.577584 0.629721 0.007094 0.000025 1.000000
#> Iteration: 875 bestvalit: 35.213164 bestmemit: -6.746901 0.016789 0.014765 0.009479 -2.455386 0.123445 0.050000 0.417469 0.901094 0.774642 0.862885 0.576159 0.630511 0.006840 0.001558 0.999989
#> Iteration: 900 bestvalit: 35.212636 bestmemit: -6.614607 0.016767 0.014738 0.009448 -2.455095 0.124015 0.050000 0.416793 0.899309 0.771134 0.864507 0.592689 0.629692 0.006868 0.001962 0.999982
#> Iteration: 925 bestvalit: 35.210210 bestmemit: -6.682198 0.016769 0.014704 0.009420 -2.454919 0.123824 0.050000 0.418275 0.897615 0.777116 0.864716 0.591587 0.633836 0.007078 0.000003 0.999905
#> Iteration: 950 bestvalit: 35.209239 bestmemit: -6.313258 0.016779 0.014670 0.009438 -2.454811 0.123200 0.050000 0.417637 0.892864 0.767010 0.862529 0.613396 0.633324 0.007132 0.000037 0.999859
#> Iteration: 975 bestvalit: 35.206310 bestmemit: -6.657182 0.016809 0.014670 0.009431 -2.455056 0.123363 0.050000 0.417902 0.887435 0.793818 0.865963 0.622385 0.642892 0.007657 0.001379 0.999853
#> Iteration: 1000 bestvalit: 35.205235 bestmemit: -6.854563 0.016854 0.014717 0.009481 -2.455481 0.122843 0.050000 0.416327 0.884357 0.808676 0.865465 0.624208 0.647301 0.007878 0.002308 0.999837
#> Iteration: 1025 bestvalit: 35.204657 bestmemit: -6.731247 0.016875 0.014751 0.009498 -2.455716 0.122862 0.050000 0.416192 0.882042 0.805979 0.865231 0.631402 0.646255 0.007973 0.000154 0.999692
#> Iteration: 1050 bestvalit: 35.204480 bestmemit: -6.795353 0.016871 0.014749 0.009490 -2.455664 0.122867 0.050000 0.415628 0.882530 0.808236 0.865357 0.628015 0.646822 0.007970 0.000002 0.999727
#> Iteration: 1075 bestvalit: 35.204442 bestmemit: -6.835902 0.016871 0.014744 0.009493 -2.455671 0.122799 0.050000 0.415879 0.882783 0.809983 0.865247 0.626086 0.647546 0.007972 0.000010 0.999752
#> Iteration: 1100 bestvalit: 35.204153 bestmemit: -6.978557 0.016851 0.014736 0.009492 -2.455481 0.123132 0.050000 0.415720 0.884167 0.815033 0.866557 0.623023 0.648190 0.007923 0.000158 0.999979
#> Iteration: 1125 bestvalit: 35.203939 bestmemit: -6.953698 0.016871 0.014747 0.009495 -2.455657 0.122906 0.050000 0.415745 0.882680 0.816138 0.866271 0.624353 0.649122 0.008013 0.000002 0.999999
#> Iteration: 1150 bestvalit: 35.203912 bestmemit: -6.889451 0.016873 0.014746 0.009495 -2.455664 0.122951 0.050000 0.416017 0.881931 0.814255 0.865900 0.626798 0.648721 0.008028 0.000000 1.000000
#> Iteration: 1175 bestvalit: 35.203846 bestmemit: -6.837871 0.016874 0.014754 0.009501 -2.455729 0.122866 0.050000 0.416022 0.883088 0.809634 0.865748 0.625202 0.646937 0.007941 0.000003 1.000000
#> Iteration: 1200 bestvalit: 35.202270 bestmemit: -6.592955 0.016884 0.014733 0.009517 -2.455623 0.121797 0.050001 0.414915 0.881336 0.799129 0.865257 0.628496 0.643818 0.008103 0.000002 0.999996
#> Iteration: 1225 bestvalit: 35.099538 bestmemit: -6.730550 0.017421 0.015130 0.009407 -2.460678 0.120935 0.050037 0.411252 0.855999 0.805061 0.833078 0.648646 0.557621 0.017916 0.000399 0.999787
#> Iteration: 1250 bestvalit: 32.427679 bestmemit: -4.128984 0.024243 0.019730 0.013303 -2.515889 0.050131 0.050246 0.326425 0.678671 0.826417 0.804472 0.980461 0.171055 0.077114 0.001222 0.998726
#> Iteration: 1275 bestvalit: 31.975218 bestmemit: -8.138566 0.023956 0.019344 0.013440 -2.509306 0.050649 0.050269 0.366536 0.653865 0.878030 0.871133 0.995418 0.139102 0.086088 0.001571 0.998418
#> Iteration: 1300 bestvalit: 31.940309 bestmemit: -7.752054 0.024110 0.019406 0.013513 -2.510714 0.050028 0.050271 0.374555 0.655062 0.876145 0.878391 0.999956 0.139586 0.086959 0.001430 0.998386
#> Iteration: 1325 bestvalit: 31.936872 bestmemit: -6.536853 0.024107 0.019417 0.013571 -2.510883 0.050002 0.050271 0.375319 0.651688 0.878717 0.881351 0.999914 0.140613 0.086725 0.001356 0.998395
#> Iteration: 1350 bestvalit: 31.900725 bestmemit: -7.668299 0.024153 0.019441 0.013506 -2.511031 0.050172 0.050269 0.376467 0.649449 0.877248 0.875315 0.996202 0.139034 0.081670 0.000002 0.998612
#> Iteration: 1375 bestvalit: 31.862811 bestmemit: -9.080579 0.024036 0.019332 0.013435 -2.509768 0.051487 0.050258 0.376258 0.645550 0.881946 0.866620 0.958125 0.144503 0.062314 0.000240 0.998967
#> Iteration: 1400 bestvalit: 31.748713 bestmemit: -5.223668 0.024039 0.019356 0.013419 -2.509523 0.050916 0.050261 0.385129 0.647086 0.883147 0.872786 0.999437 0.147148 0.047790 0.000236 0.998156
#> Iteration: 1425 bestvalit: 31.698901 bestmemit: -5.202144 0.024014 0.019225 0.013250 -2.507938 0.050151 0.050270 0.380336 0.649766 0.878775 0.848872 0.999008 0.139684 0.034114 0.000152 0.997235
#> Iteration: 1450 bestvalit: 31.683821 bestmemit: -5.761467 0.024170 0.019379 0.013395 -2.509858 0.050002 0.050269 0.374452 0.644982 0.880047 0.854923 0.999855 0.145040 0.035039 0.000174 0.997230
#> Iteration: 1475 bestvalit: 31.682092 bestmemit: -6.182754 0.024133 0.019356 0.013352 -2.509603 0.050000 0.050269 0.374899 0.642302 0.879301 0.852642 0.999961 0.143484 0.034842 0.000185 0.997220
#> Iteration: 1500 bestvalit: 31.681747 bestmemit: -6.988678 0.024143 0.019359 0.013358 -2.509728 0.050000 0.050269 0.375308 0.640950 0.879222 0.853259 0.999998 0.144135 0.034858 0.000161 0.997208
#> Iteration: 1525 bestvalit: 31.681708 bestmemit: -7.484041 0.024142 0.019359 0.013357 -2.509698 0.050000 0.050269 0.375081 0.641150 0.879576 0.853218 0.999999 0.144218 0.034700 0.000146 0.997195
#> Iteration: 1550 bestvalit: 31.681694 bestmemit: -8.005445 0.024145 0.019361 0.013362 -2.509740 0.050000 0.050269 0.375231 0.641138 0.879436 0.853271 1.000000 0.144320 0.034808 0.000125 0.997187
#> Iteration: 1575 bestvalit: 31.681690 bestmemit: -8.004209 0.024146 0.019362 0.013364 -2.509755 0.050000 0.050269 0.375391 0.641259 0.879421 0.853248 1.000000 0.144290 0.034880 0.000120 0.997188
#> Iteration: 1600 bestvalit: 31.681687 bestmemit: -8.002812 0.024149 0.019365 0.013367 -2.509803 0.050000 0.050269 0.375331 0.641397 0.879465 0.853200 1.000000 0.144306 0.034818 0.000116 0.997185
#> Iteration: 1625 bestvalit: 31.681687 bestmemit: -8.001265 0.024149 0.019365 0.013367 -2.509797 0.050000 0.050269 0.375335 0.641356 0.879488 0.853220 1.000000 0.144313 0.034802 0.000115 0.997185
#> ... Finished Calibration.
#> Best solution: 31.6816865933504
#>
#> ... Doing Calibration Trial 6 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6571254903261
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 77.778397 bestmemit: -3.863411 -0.370695 -0.168889 0.026496 -2.614765 0.655718 0.302089 0.202838 0.862507 0.975896 0.984169 0.784366 0.410505 0.022413 0.234776 0.233983
#> Iteration: 50 bestvalit: 51.231725 bestmemit: -7.078713 -0.426532 -0.288735 0.012238 -2.429669 0.571185 0.552932 0.345391 0.728198 0.126906 0.999326 0.172337 0.179334 0.002948 0.177388 0.231251
#> Iteration: 75 bestvalit: 50.401665 bestmemit: -4.702821 -0.395258 -0.318459 0.013952 -2.447818 0.567557 0.551233 0.336177 0.712455 0.122859 0.999550 0.165121 0.202439 0.000013 0.051846 0.012055
#> Iteration: 100 bestvalit: 45.482777 bestmemit: -7.597269 0.007674 -0.297512 0.016053 -2.465404 0.589632 0.557298 0.249110 0.725627 0.131682 0.999236 0.164372 0.195367 0.004328 0.285192 0.244702
#> Iteration: 125 bestvalit: 38.813546 bestmemit: -6.676923 0.010197 0.010242 0.017520 -2.466599 0.468231 0.393626 0.152514 0.902805 0.315151 0.955986 0.408133 0.048547 0.005503 0.583591 0.331696
#> Iteration: 150 bestvalit: 37.483701 bestmemit: -5.717917 0.009927 0.013350 0.016871 -2.458825 0.463889 0.395069 0.117365 0.923053 0.397541 0.911245 0.424415 0.168817 0.000103 0.524874 0.503002
#> Iteration: 175 bestvalit: 37.243944 bestmemit: -5.622108 0.010573 0.013354 0.017572 -2.464182 0.460532 0.268517 0.114229 0.975899 0.615927 0.917069 0.641478 0.058942 0.005520 0.548191 0.411309
#> Iteration: 200 bestvalit: 34.919149 bestmemit: -6.625997 0.009189 0.014269 0.017148 -2.449561 0.532369 0.052754 0.105284 0.876049 0.705175 0.776908 0.976325 0.059013 0.030803 0.223586 0.986033
#> Iteration: 225 bestvalit: 34.159626 bestmemit: -4.466410 0.009606 0.014638 0.017706 -2.453171 0.426645 0.051940 0.112915 0.863017 0.723518 0.793870 0.996414 0.067277 0.025374 0.006282 0.997593
#> Iteration: 250 bestvalit: 33.811270 bestmemit: -6.638937 0.011154 0.017233 0.020669 -2.487548 0.426024 0.050034 0.104108 0.777602 0.755598 0.847651 0.934224 0.140571 0.032720 0.048878 0.992366
#> Iteration: 275 bestvalit: 32.674688 bestmemit: -7.052138 0.012639 0.018850 0.023580 -2.501987 0.321431 0.050109 0.050059 0.799221 0.836203 0.681306 0.809183 0.114681 0.041040 0.458189 0.935675
#> Iteration: 300 bestvalit: 32.256223 bestmemit: -7.646212 0.014069 0.019728 0.024257 -2.517205 0.361342 0.050055 0.050667 0.825599 0.823393 0.673547 0.685024 0.091488 0.038023 0.173484 0.973751
#> Iteration: 325 bestvalit: 31.952060 bestmemit: -6.705713 0.013530 0.019231 0.023874 -2.509453 0.379328 0.050014 0.050615 0.841973 0.832568 0.693413 0.765963 0.088961 0.037024 0.015698 0.980560
#> Iteration: 350 bestvalit: 31.849336 bestmemit: -9.159444 0.013392 0.019302 0.024122 -2.510001 0.365602 0.050106 0.050029 0.820066 0.833827 0.666425 0.806760 0.093350 0.040197 0.001596 0.999091
#> Iteration: 375 bestvalit: 31.837684 bestmemit: -7.502440 0.013331 0.019248 0.023997 -2.508713 0.369285 0.050118 0.050007 0.825519 0.833890 0.660482 0.794170 0.090906 0.040743 0.000798 0.999877
#> Iteration: 400 bestvalit: 31.825667 bestmemit: -7.541635 0.013245 0.019248 0.023932 -2.508238 0.360506 0.050011 0.050035 0.814954 0.832468 0.656706 0.791388 0.091093 0.036509 0.000210 0.998066
#> Iteration: 425 bestvalit: 31.812701 bestmemit: -7.684407 0.013302 0.019276 0.024008 -2.508526 0.369116 0.050000 0.050014 0.822143 0.836943 0.658862 0.793489 0.092740 0.036512 0.000017 0.995438
#> Iteration: 450 bestvalit: 31.809419 bestmemit: -8.859543 0.013263 0.019205 0.023954 -2.507835 0.368843 0.050000 0.050000 0.822436 0.836274 0.659796 0.780741 0.092887 0.035960 0.000015 0.995462
#> Iteration: 475 bestvalit: 31.807982 bestmemit: -9.180818 0.013256 0.019226 0.023953 -2.508123 0.368013 0.050000 0.050000 0.824412 0.835946 0.661674 0.775265 0.093608 0.035172 0.000000 0.995506
#> Iteration: 500 bestvalit: 31.807735 bestmemit: -9.657785 0.013234 0.019222 0.023950 -2.508056 0.367751 0.050000 0.050000 0.823784 0.836521 0.663554 0.777822 0.094168 0.034860 0.000013 0.995408
#> Iteration: 525 bestvalit: 31.807217 bestmemit: -7.405404 0.013211 0.019215 0.023935 -2.507938 0.366569 0.050000 0.050000 0.824111 0.835334 0.661917 0.775826 0.094745 0.034622 0.000091 0.996299
#> Iteration: 550 bestvalit: 31.802857 bestmemit: -6.049640 0.013242 0.019238 0.023972 -2.508343 0.367602 0.050000 0.050001 0.822841 0.838636 0.663497 0.777979 0.094396 0.034608 0.000567 0.999998
#> Iteration: 575 bestvalit: 31.802261 bestmemit: -9.628724 0.013235 0.019244 0.023972 -2.508301 0.368299 0.050000 0.050001 0.823795 0.838033 0.664414 0.777037 0.093961 0.034399 0.000505 0.999999
#> Iteration: 600 bestvalit: 31.801178 bestmemit: -7.600359 0.013222 0.019238 0.023968 -2.508234 0.368635 0.050000 0.050004 0.823175 0.837915 0.664992 0.780052 0.093564 0.034081 0.000217 0.999989
#> Iteration: 625 bestvalit: 31.799330 bestmemit: -6.907698 0.013212 0.019234 0.023970 -2.508095 0.367591 0.050000 0.050007 0.823068 0.837948 0.662956 0.778511 0.094189 0.033794 0.000002 0.999993
#> Iteration: 650 bestvalit: 31.798479 bestmemit: -7.338392 0.013184 0.019228 0.023983 -2.508043 0.367288 0.050001 0.050010 0.823588 0.837963 0.662296 0.783136 0.095457 0.033354 0.000000 0.999997
#> Iteration: 675 bestvalit: 31.782109 bestmemit: -9.158809 0.013204 0.019134 0.023881 -2.506692 0.365507 0.050017 0.050080 0.834699 0.843989 0.660411 0.802089 0.094829 0.024710 0.000001 0.999993
#> Iteration: 700 bestvalit: 31.745796 bestmemit: -5.822938 0.012912 0.018909 0.023662 -2.503100 0.361943 0.050052 0.050207 0.826027 0.840268 0.662013 0.822690 0.099830 0.006163 0.000001 0.999857
#> Iteration: 725 bestvalit: 31.700479 bestmemit: -5.292835 0.013093 0.019073 0.023844 -2.505199 0.370091 0.050071 0.050279 0.821836 0.845268 0.638547 0.796726 0.097209 0.000238 0.000002 0.999676
#> Iteration: 750 bestvalit: 31.675680 bestmemit: -6.814598 0.013338 0.019383 0.024161 -2.509917 0.374188 0.050070 0.050276 0.824708 0.842705 0.644581 0.786612 0.101712 0.000036 0.000001 0.999644
#> Iteration: 775 bestvalit: 31.673561 bestmemit: -7.311322 0.013368 0.019367 0.024145 -2.509873 0.374920 0.050071 0.050282 0.824125 0.839004 0.643478 0.799889 0.103170 0.000000 0.000000 0.999658
#> Iteration: 800 bestvalit: 31.673522 bestmemit: -7.682167 0.013357 0.019359 0.024138 -2.509755 0.374834 0.050071 0.050282 0.824083 0.839351 0.642972 0.800200 0.103145 0.000000 0.000000 0.999658
#> Iteration: 825 bestvalit: 31.673509 bestmemit: -8.270759 0.013359 0.019361 0.024141 -2.509782 0.374667 0.050071 0.050282 0.823845 0.839255 0.643016 0.800622 0.103176 0.000000 0.000000 0.999660
#> Iteration: 850 bestvalit: 31.673460 bestmemit: -8.570434 0.013362 0.019364 0.024143 -2.509811 0.374917 0.050071 0.050280 0.824067 0.839158 0.643764 0.799587 0.103080 0.000000 0.000000 0.999685
#> Iteration: 875 bestvalit: 31.672577 bestmemit: -8.266534 0.013364 0.019372 0.024153 -2.509914 0.374361 0.050068 0.050268 0.823882 0.839592 0.643927 0.800736 0.102966 0.000001 0.000002 0.999989
#> Iteration: 900 bestvalit: 31.672487 bestmemit: -9.290412 0.013358 0.019362 0.024141 -2.509786 0.374840 0.050069 0.050268 0.824026 0.839413 0.643123 0.799798 0.103035 0.000001 0.000002 1.000000
#> Iteration: 925 bestvalit: 31.672484 bestmemit: -9.091511 0.013358 0.019361 0.024140 -2.509771 0.374717 0.050069 0.050268 0.823925 0.839302 0.642931 0.800125 0.103102 0.000001 0.000002 1.000000
#> Iteration: 950 bestvalit: 31.672477 bestmemit: -9.149265 0.013357 0.019360 0.024140 -2.509768 0.374753 0.050069 0.050268 0.823841 0.839295 0.642995 0.800314 0.103104 0.000000 0.000002 1.000000
#> Iteration: 975 bestvalit: 31.672467 bestmemit: -8.295252 0.013360 0.019361 0.024140 -2.509784 0.374786 0.050069 0.050268 0.823851 0.839254 0.643033 0.800595 0.103151 0.000000 0.000002 1.000000
#> Iteration: 1000 bestvalit: 31.672350 bestmemit: -9.242302 0.013360 0.019359 0.024135 -2.509730 0.375367 0.050067 0.050265 0.823994 0.839503 0.643974 0.800496 0.103597 0.000000 0.000003 1.000000
#> Iteration: 1025 bestvalit: 31.669168 bestmemit: -6.639283 0.013296 0.019337 0.024114 -2.509183 0.376346 0.050034 0.050198 0.823767 0.840522 0.641271 0.816668 0.102115 0.000010 0.000025 0.999998
#> Iteration: 1050 bestvalit: 31.661660 bestmemit: -8.872291 0.013371 0.019356 0.024139 -2.509715 0.374946 0.050000 0.050125 0.823189 0.839669 0.641671 0.802040 0.102785 0.000020 0.000047 0.999996
#> Iteration: 1075 bestvalit: 31.661550 bestmemit: -8.645865 0.013369 0.019361 0.024140 -2.509793 0.375081 0.050000 0.050124 0.823791 0.839103 0.642085 0.800244 0.102987 0.000020 0.000047 0.999996
#> Iteration: 1100 bestvalit: 31.661516 bestmemit: -9.739183 0.013363 0.019362 0.024145 -2.509801 0.375195 0.050000 0.050124 0.823587 0.839108 0.642033 0.801478 0.103176 0.000020 0.000047 0.999996
#> Iteration: 1125 bestvalit: 31.661516 bestmemit: -9.619529 0.013363 0.019362 0.024145 -2.509799 0.375198 0.050000 0.050124 0.823610 0.839104 0.642010 0.801344 0.103169 0.000020 0.000047 0.999996
#> ... Finished Calibration.
#> Best solution: 31.6615142405626
#>
#> ... Doing Calibration Trial 7 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6571254903261
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 58.687472 bestmemit: -2.560906 0.020995 0.460160 -0.386337 -2.547076 0.483886 0.675935 0.494461 0.963081 0.853225 0.915846 0.544941 0.242382 0.643987 0.686232 0.368010
#> Iteration: 50 bestvalit: 42.691464 bestmemit: -3.951393 0.019125 0.010426 0.018253 -2.505837 0.199305 0.416513 0.502174 0.946039 0.935866 0.858850 0.461249 0.161545 0.767953 0.581597 0.625875
#> Iteration: 75 bestvalit: 37.646203 bestmemit: -5.273102 0.017077 0.009900 0.011258 -2.460993 0.109011 0.467534 0.655565 0.920186 0.861237 0.840631 0.412785 0.019100 0.597315 0.732563 0.914875
#> Iteration: 100 bestvalit: 36.355973 bestmemit: -4.500014 0.016556 0.009843 0.010782 -2.455637 0.118677 0.430355 0.297413 0.936213 0.969533 0.771894 0.243402 0.006103 0.844669 0.983354 0.329144
#> Iteration: 125 bestvalit: 36.129801 bestmemit: -5.214805 0.017187 0.010283 0.011719 -2.461251 0.111808 0.446998 0.202895 0.905323 0.998743 0.612490 0.002396 0.023115 0.650428 0.997253 0.643711
#> Iteration: 150 bestvalit: 36.055790 bestmemit: -4.513813 0.017052 0.009931 0.011552 -2.460218 0.112183 0.439405 0.195768 0.925636 0.998681 0.670048 0.000031 0.027204 0.529687 0.998482 0.641536
#> Iteration: 175 bestvalit: 36.049650 bestmemit: -4.465147 0.017163 0.010082 0.011726 -2.461871 0.112228 0.441340 0.191869 0.924667 0.998943 0.689645 0.000006 0.024266 0.508119 0.999816 0.091422
#> Iteration: 200 bestvalit: 36.046008 bestmemit: -4.427310 0.017194 0.010117 0.011791 -2.462141 0.113121 0.442918 0.189994 0.926193 0.999868 0.705843 0.000208 0.021394 0.498608 0.999925 0.019384
#> Iteration: 225 bestvalit: 36.041808 bestmemit: -4.701657 0.017134 0.010062 0.011715 -2.461462 0.112623 0.444647 0.185919 0.928705 0.999954 0.702654 0.000003 0.022851 0.500926 0.998915 0.391287
#> Iteration: 250 bestvalit: 36.037595 bestmemit: -5.165862 0.017191 0.010114 0.011701 -2.462152 0.112396 0.443087 0.186489 0.928561 0.999981 0.700926 0.000193 0.022297 0.489716 0.997532 0.032012
#> Iteration: 275 bestvalit: 36.030582 bestmemit: -5.428298 0.017320 0.010167 0.011842 -2.463074 0.113107 0.444804 0.178001 0.928103 0.999996 0.732057 0.001052 0.023436 0.464516 0.997723 0.068255
#> Iteration: 300 bestvalit: 35.994189 bestmemit: -5.702969 0.018110 0.010757 0.013245 -2.471342 0.104629 0.435270 0.186834 0.912774 0.999939 0.847573 0.006055 0.023446 0.383401 0.994378 0.568142
#> Iteration: 325 bestvalit: 35.987172 bestmemit: -5.771338 0.018085 0.010815 0.013160 -2.471016 0.105051 0.444192 0.177532 0.912086 0.999914 0.848175 0.006344 0.022768 0.384931 0.994972 0.004475
#> Iteration: 350 bestvalit: 35.985012 bestmemit: -5.624710 0.018078 0.010824 0.013091 -2.471162 0.104845 0.448271 0.179231 0.913362 0.999531 0.841063 0.005129 0.023063 0.397642 0.998552 0.015845
#> Iteration: 375 bestvalit: 35.975823 bestmemit: -8.016687 0.018095 0.010833 0.013167 -2.471220 0.104959 0.445595 0.176202 0.911517 0.997511 0.841258 0.000034 0.019960 0.392126 0.999840 0.652228
#> Iteration: 400 bestvalit: 35.974544 bestmemit: -9.631951 0.018109 0.010826 0.013219 -2.471261 0.104515 0.444087 0.178320 0.910781 0.997364 0.849757 0.000029 0.020015 0.384656 0.999995 0.648478
#> Iteration: 425 bestvalit: 35.974349 bestmemit: -8.967322 0.018127 0.010846 0.013240 -2.471526 0.104426 0.444412 0.179199 0.911161 0.997319 0.850358 0.000000 0.020851 0.382326 0.999999 0.518578
#> Iteration: 450 bestvalit: 35.974335 bestmemit: -9.380388 0.018128 0.010845 0.013234 -2.471538 0.104422 0.444584 0.179159 0.911045 0.997300 0.850226 0.000000 0.021106 0.382732 1.000000 0.832740
#> Iteration: 475 bestvalit: 35.974333 bestmemit: -9.431858 0.018130 0.010846 0.013237 -2.471549 0.104395 0.444658 0.179189 0.911034 0.997293 0.850436 0.000000 0.021079 0.382487 1.000000 0.119054
#> ... Finished Calibration.
#> Best solution: 35.9743333300632
#>
#> ... Doing Calibration Trial 8 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6571254903261
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 76.071537 bestmemit: -7.967558 0.019802 -0.081667 0.046121 -2.561479 0.303239 0.305355 0.379029 0.798315 0.893826 0.764210 0.060664 0.568950 0.021423 0.861211 0.607900
#> Iteration: 50 bestvalit: 45.740895 bestmemit: -6.811328 0.017078 0.016609 0.005473 -2.475689 0.344541 0.215382 0.270121 0.809369 0.953628 0.700600 0.683470 0.490997 0.204764 0.530606 0.777201
#> Iteration: 75 bestvalit: 41.893123 bestmemit: -6.641056 0.018240 0.017187 0.006780 -2.486454 0.385292 0.050605 0.149285 0.847782 0.949715 0.577607 0.676446 0.389515 0.207816 0.249645 0.870615
#> Iteration: 100 bestvalit: 36.476973 bestmemit: -6.377824 0.017654 0.015269 0.010466 -2.463196 0.126094 0.050206 0.382148 0.873887 0.806992 0.861420 0.570770 0.726128 0.015516 0.729761 0.344532
#> Iteration: 125 bestvalit: 36.189493 bestmemit: -5.146352 0.016827 0.014693 0.009453 -2.454830 0.123777 0.050059 0.400721 0.851854 0.869867 0.875889 0.711662 0.721266 0.003564 0.997150 0.275111
#> Iteration: 150 bestvalit: 36.169183 bestmemit: -5.335414 0.016703 0.014592 0.009357 -2.453543 0.125256 0.050066 0.404745 0.846656 0.871159 0.877483 0.730537 0.718220 0.000126 0.999611 0.267877
#> Iteration: 175 bestvalit: 36.138575 bestmemit: -5.282216 0.016772 0.014797 0.009453 -2.454506 0.125706 0.050001 0.407600 0.842062 0.800413 0.877315 0.749356 0.698850 0.000333 0.995478 0.290009
#> Iteration: 200 bestvalit: 36.133878 bestmemit: -4.915666 0.016770 0.014754 0.009414 -2.454220 0.127220 0.050001 0.405904 0.840099 0.783839 0.878795 0.762493 0.689742 0.000020 0.996488 0.297456
#> Iteration: 225 bestvalit: 36.132612 bestmemit: -4.848143 0.016830 0.014809 0.009480 -2.455012 0.126994 0.050019 0.402478 0.841722 0.774744 0.878457 0.769265 0.685951 0.000012 0.992172 0.290939
#> Iteration: 250 bestvalit: 36.132012 bestmemit: -4.839837 0.016822 0.014801 0.009479 -2.454952 0.127204 0.050000 0.402252 0.841536 0.772244 0.878413 0.771761 0.684171 0.000085 0.990186 0.285570
#> Iteration: 275 bestvalit: 36.130763 bestmemit: -4.942384 0.016836 0.014790 0.009473 -2.455049 0.127162 0.050002 0.404278 0.841749 0.770814 0.876974 0.773193 0.681765 0.000736 0.980222 0.259899
#> Iteration: 300 bestvalit: 36.129844 bestmemit: -4.917281 0.016825 0.014790 0.009450 -2.454794 0.127480 0.050005 0.404975 0.841392 0.761365 0.876311 0.776522 0.675979 0.001246 0.974757 0.246583
#> Iteration: 325 bestvalit: 36.127042 bestmemit: -4.927959 0.016812 0.014795 0.009446 -2.454668 0.128413 0.050003 0.405212 0.840979 0.744773 0.876223 0.784200 0.666606 0.001497 0.969337 0.238174
#> Iteration: 350 bestvalit: 36.118367 bestmemit: -4.838581 0.016924 0.014951 0.009490 -2.455899 0.129263 0.050000 0.404638 0.843400 0.722988 0.873507 0.798223 0.652368 0.001342 0.969561 0.262200
#> Iteration: 375 bestvalit: 36.105188 bestmemit: -5.279840 0.016776 0.014718 0.009405 -2.454043 0.128309 0.050000 0.410554 0.843131 0.708605 0.874229 0.808836 0.643748 0.001775 0.952482 0.251848
#> Iteration: 400 bestvalit: 36.098649 bestmemit: -5.054429 0.016843 0.014745 0.009443 -2.454754 0.128599 0.050000 0.406587 0.846766 0.704014 0.868816 0.806491 0.638418 0.001602 0.949441 0.260683
#> Iteration: 425 bestvalit: 36.083711 bestmemit: -5.094503 0.016840 0.014755 0.009468 -2.455022 0.127388 0.050004 0.411255 0.847772 0.679439 0.873729 0.809589 0.632919 0.000827 0.960834 0.304724
#> Iteration: 450 bestvalit: 36.081839 bestmemit: -4.940493 0.016866 0.014804 0.009503 -2.455261 0.127634 0.050006 0.410518 0.848347 0.678704 0.872311 0.804215 0.632295 0.000693 0.967441 0.316101
#> Iteration: 475 bestvalit: 36.070499 bestmemit: -4.856806 0.016885 0.014854 0.009453 -2.455514 0.128624 0.050054 0.410946 0.852827 0.673166 0.858777 0.821460 0.611191 0.002741 0.967628 0.283219
#> Iteration: 500 bestvalit: 36.068010 bestmemit: -4.921174 0.016846 0.014783 0.009446 -2.454935 0.128908 0.050053 0.415750 0.850740 0.674286 0.861146 0.813087 0.614594 0.002474 0.966635 0.303888
#> Iteration: 525 bestvalit: 36.041144 bestmemit: -5.623361 0.016894 0.014709 0.009482 -2.455888 0.124250 0.050168 0.420749 0.859329 0.641824 0.867177 0.817372 0.614036 0.000682 0.975823 0.567130
#> Iteration: 550 bestvalit: 36.038227 bestmemit: -5.470753 0.016850 0.014641 0.009509 -2.455312 0.122598 0.050190 0.421305 0.860602 0.640401 0.867385 0.814252 0.615722 0.000222 0.975457 0.610515
#> Iteration: 575 bestvalit: 36.033878 bestmemit: -6.104418 0.016815 0.014576 0.009452 -2.454907 0.121782 0.050265 0.428169 0.861494 0.648679 0.866768 0.818238 0.619901 0.000006 0.971783 0.717540
#> Iteration: 600 bestvalit: 36.030034 bestmemit: -6.296257 0.016757 0.014506 0.009409 -2.454179 0.121492 0.050232 0.432519 0.860379 0.651212 0.868381 0.797223 0.626960 0.000002 0.957441 0.720210
#> Iteration: 625 bestvalit: 35.959401 bestmemit: -8.048772 0.016785 0.014296 0.009676 -2.453940 0.123274 0.050018 0.442063 0.869328 0.631518 0.881960 0.785654 0.649993 0.000295 0.826718 0.999800
#> Iteration: 650 bestvalit: 35.930897 bestmemit: -7.242158 0.016641 0.014292 0.009386 -2.452720 0.122212 0.050000 0.446645 0.865183 0.639401 0.882208 0.821450 0.642086 0.000400 0.816686 0.996074
#> Iteration: 675 bestvalit: 35.927054 bestmemit: -7.606217 0.016680 0.014390 0.009440 -2.453616 0.122734 0.050000 0.442699 0.866735 0.636968 0.880731 0.815661 0.641525 0.000006 0.822151 0.999573
#> Iteration: 700 bestvalit: 35.898736 bestmemit: -7.055271 0.016801 0.014516 0.009578 -2.454925 0.119818 0.050001 0.448728 0.876068 0.646280 0.876223 0.809049 0.653282 0.000014 0.764843 0.995497
#> Iteration: 725 bestvalit: 35.885794 bestmemit: -6.859471 0.016705 0.014376 0.009400 -2.453832 0.122175 0.050000 0.441205 0.878119 0.651257 0.871352 0.824175 0.648209 0.000019 0.758407 0.992342
#> Iteration: 750 bestvalit: 35.877375 bestmemit: -9.544772 0.016701 0.014396 0.009390 -2.453711 0.122845 0.050000 0.448297 0.879338 0.646849 0.866308 0.838827 0.636867 0.000123 0.747547 0.999852
#> Iteration: 775 bestvalit: 35.875920 bestmemit: -9.424885 0.016706 0.014410 0.009395 -2.453987 0.122809 0.050001 0.446887 0.881398 0.644414 0.863619 0.840393 0.633720 0.000131 0.742128 0.999989
#> Iteration: 800 bestvalit: 35.874816 bestmemit: -8.038971 0.016712 0.014436 0.009428 -2.454148 0.122665 0.050000 0.446100 0.881821 0.640048 0.863674 0.838148 0.632251 0.000004 0.746977 0.999991
#> Iteration: 825 bestvalit: 35.874433 bestmemit: -9.778062 0.016695 0.014401 0.009408 -2.453918 0.122629 0.050000 0.447891 0.881661 0.640631 0.863326 0.840892 0.631326 0.000001 0.741966 0.999985
#> Iteration: 850 bestvalit: 35.872929 bestmemit: -7.998019 0.016679 0.014422 0.009394 -2.453849 0.123268 0.050000 0.452271 0.884356 0.637788 0.865321 0.834570 0.637486 0.000001 0.726041 0.999827
#> Iteration: 875 bestvalit: 35.871785 bestmemit: -8.017519 0.016607 0.014320 0.009332 -2.453024 0.123203 0.050000 0.450891 0.887234 0.636729 0.866638 0.826411 0.644186 0.000000 0.712345 0.999690
#> Iteration: 900 bestvalit: 35.871178 bestmemit: -9.935782 0.016616 0.014340 0.009333 -2.453213 0.123621 0.050000 0.450141 0.889259 0.631294 0.866002 0.823668 0.643253 0.000005 0.711782 0.999792
#> Iteration: 925 bestvalit: 35.871065 bestmemit: -8.471636 0.016630 0.014354 0.009347 -2.453327 0.123586 0.050000 0.450816 0.888247 0.630962 0.865718 0.826321 0.640824 0.000002 0.716386 0.999928
#> Iteration: 950 bestvalit: 35.870966 bestmemit: -8.086730 0.016604 0.014327 0.009327 -2.453012 0.123703 0.050000 0.451862 0.888034 0.630382 0.866105 0.826581 0.640783 0.000000 0.715284 0.999894
#> Iteration: 975 bestvalit: 35.870875 bestmemit: -8.629100 0.016602 0.014314 0.009326 -2.452950 0.123577 0.050000 0.452131 0.887797 0.633242 0.866232 0.826510 0.642309 0.000000 0.712099 0.999557
#> Iteration: 1000 bestvalit: 35.870788 bestmemit: -8.227536 0.016606 0.014321 0.009335 -2.453033 0.123382 0.050000 0.452045 0.887692 0.633272 0.867025 0.823832 0.643915 0.000000 0.712593 0.999361
#> Iteration: 1025 bestvalit: 35.870394 bestmemit: -7.477940 0.016595 0.014318 0.009317 -2.452920 0.123718 0.050000 0.451591 0.887690 0.636124 0.867031 0.822152 0.645815 0.000000 0.711434 0.998497
#> Iteration: 1050 bestvalit: 35.865168 bestmemit: -9.410350 0.016634 0.014313 0.009350 -2.453058 0.121580 0.050003 0.456344 0.880805 0.666018 0.863841 0.804747 0.651543 0.000026 0.722322 0.984490
#> Iteration: 1075 bestvalit: 35.862076 bestmemit: -8.204359 0.016617 0.014299 0.009290 -2.452947 0.122024 0.050005 0.454459 0.882060 0.673460 0.859567 0.791927 0.652795 0.000044 0.724663 0.977759
#> Iteration: 1100 bestvalit: 35.861422 bestmemit: -6.938525 0.016605 0.014286 0.009292 -2.452807 0.122422 0.050005 0.454276 0.883903 0.670258 0.858764 0.790034 0.652447 0.000044 0.720949 0.977492
#> Iteration: 1125 bestvalit: 35.861016 bestmemit: -9.787318 0.016627 0.014293 0.009309 -2.453033 0.121925 0.050006 0.454409 0.884222 0.670863 0.857709 0.783505 0.652691 0.000049 0.723785 0.975019
#> Iteration: 1150 bestvalit: 35.859701 bestmemit: -6.610786 0.016645 0.014317 0.009327 -2.453295 0.122258 0.050006 0.454196 0.884615 0.668739 0.858142 0.783439 0.652696 0.000004 0.722334 0.974589
#> Iteration: 1175 bestvalit: 35.858680 bestmemit: -8.265152 0.016628 0.014322 0.009308 -2.453130 0.121741 0.050007 0.456592 0.884386 0.673847 0.854874 0.779750 0.650844 0.000001 0.719767 0.969839
#> Iteration: 1200 bestvalit: 35.855141 bestmemit: -8.003442 0.016719 0.014391 0.009360 -2.454039 0.121421 0.050009 0.456463 0.881469 0.674933 0.842907 0.783615 0.629627 0.000000 0.743476 0.961862
#> Iteration: 1225 bestvalit: 35.854515 bestmemit: -7.526648 0.016725 0.014419 0.009354 -2.454184 0.121333 0.050009 0.455606 0.881910 0.674347 0.839543 0.778654 0.625699 0.000000 0.748410 0.958365
#> Iteration: 1250 bestvalit: 35.853211 bestmemit: -9.217005 0.016715 0.014389 0.009354 -2.454087 0.121843 0.050007 0.455341 0.885164 0.674128 0.838128 0.781653 0.626726 0.000000 0.728155 0.959087
#> Iteration: 1275 bestvalit: 35.844639 bestmemit: -8.378110 0.016694 0.014397 0.009315 -2.453767 0.122480 0.050000 0.459417 0.885177 0.671596 0.841206 0.806241 0.625703 0.000000 0.697302 0.967476
#> Iteration: 1300 bestvalit: 35.841952 bestmemit: -9.213523 0.016705 0.014404 0.009355 -2.454039 0.121489 0.050000 0.456730 0.885195 0.671188 0.841119 0.797574 0.626855 0.000002 0.702438 0.965614
#> Iteration: 1325 bestvalit: 35.832166 bestmemit: -6.807656 0.016675 0.014340 0.009297 -2.453688 0.121771 0.050000 0.457563 0.887624 0.665986 0.844383 0.756674 0.638659 0.000012 0.703489 0.957210
#> Iteration: 1350 bestvalit: 35.830528 bestmemit: -8.933228 0.016723 0.014379 0.009326 -2.454031 0.121179 0.050000 0.456253 0.882607 0.667040 0.837811 0.765734 0.622088 0.000011 0.731829 0.953524
#> Iteration: 1375 bestvalit: 35.808166 bestmemit: -5.627243 0.016899 0.014442 0.009497 -2.456160 0.119509 0.050000 0.455062 0.884652 0.664963 0.830305 0.740469 0.616344 0.000000 0.701542 0.948986
#> Iteration: 1400 bestvalit: 35.794124 bestmemit: -6.616557 0.016721 0.014355 0.009239 -2.453967 0.120010 0.050000 0.454228 0.884749 0.661906 0.827571 0.716043 0.614818 0.000000 0.704047 0.942736
#> Iteration: 1425 bestvalit: 35.792739 bestmemit: -9.177937 0.016750 0.014375 0.009295 -2.454391 0.120097 0.050000 0.457961 0.885767 0.660239 0.830376 0.702772 0.621492 0.000000 0.690628 0.941725
#> Iteration: 1450 bestvalit: 35.792179 bestmemit: -8.643534 0.016736 0.014359 0.009284 -2.454223 0.120068 0.050000 0.454825 0.886545 0.659865 0.833067 0.697645 0.627069 0.000000 0.690684 0.943421
#> Iteration: 1475 bestvalit: 35.792039 bestmemit: -9.471453 0.016736 0.014363 0.009295 -2.454267 0.120132 0.050000 0.453645 0.886915 0.659713 0.834364 0.696138 0.629599 0.000000 0.690134 0.944346
#> Iteration: 1500 bestvalit: 35.785317 bestmemit: -9.983076 0.016708 0.014302 0.009241 -2.454098 0.120237 0.050000 0.447501 0.890889 0.648774 0.839043 0.675413 0.638281 0.000000 0.675042 0.950133
#> Iteration: 1525 bestvalit: 35.759587 bestmemit: -6.659807 0.016710 0.014444 0.009330 -2.454421 0.120836 0.050001 0.438528 0.900104 0.615463 0.840247 0.709641 0.625229 0.000000 0.658543 0.976323
#> Iteration: 1550 bestvalit: 35.757463 bestmemit: -8.316939 0.016733 0.014464 0.009342 -2.454792 0.121413 0.050001 0.436735 0.900802 0.613749 0.840133 0.703747 0.625779 0.000000 0.657008 0.976372
#> Iteration: 1575 bestvalit: 35.751840 bestmemit: -9.060940 0.016734 0.014453 0.009279 -2.454634 0.121145 0.050000 0.438523 0.899923 0.617770 0.834671 0.704609 0.618233 0.000002 0.656441 0.971145
#> Iteration: 1600 bestvalit: 35.750501 bestmemit: -6.888079 0.016760 0.014483 0.009331 -2.454913 0.121442 0.050000 0.435404 0.900913 0.615732 0.834455 0.698842 0.618679 0.000003 0.656811 0.971438
#> Iteration: 1625 bestvalit: 35.744744 bestmemit: -6.141511 0.016840 0.014533 0.009349 -2.455733 0.121086 0.050000 0.432483 0.900091 0.630053 0.818748 0.701213 0.600766 0.000006 0.654693 0.959937
#> Iteration: 1650 bestvalit: 35.733538 bestmemit: -8.868432 0.016939 0.014688 0.009380 -2.457029 0.120438 0.050001 0.432712 0.900113 0.623535 0.813896 0.689851 0.590463 0.000007 0.654634 0.959158
#> Iteration: 1675 bestvalit: 35.663937 bestmemit: -7.363557 0.017487 0.015043 0.009547 -2.462163 0.119688 0.050006 0.439333 0.890855 0.609616 0.729835 0.733912 0.425405 0.000021 0.656636 0.936111
#> Iteration: 1700 bestvalit: 35.662112 bestmemit: -9.035054 0.017671 0.015177 0.009669 -2.464229 0.118475 0.050007 0.439546 0.890421 0.609118 0.724886 0.729961 0.416913 0.000023 0.657001 0.934741
#> Iteration: 1725 bestvalit: 35.614603 bestmemit: -6.352200 0.018206 0.015616 0.010262 -2.469660 0.112437 0.050026 0.429489 0.871434 0.653092 0.713471 0.718467 0.402975 0.000035 0.673718 0.941144
#> Iteration: 1750 bestvalit: 35.563373 bestmemit: -7.741460 0.018046 0.015523 0.009943 -2.466768 0.114592 0.050048 0.427025 0.849770 0.703920 0.734685 0.749936 0.436249 0.000048 0.698729 0.971389
#> Iteration: 1775 bestvalit: 35.528474 bestmemit: -8.306430 0.018072 0.015519 0.010010 -2.466934 0.115233 0.050060 0.416628 0.843163 0.691219 0.747862 0.747526 0.437569 0.000077 0.707950 0.999980
#> Iteration: 1800 bestvalit: 35.519728 bestmemit: -7.171379 0.018004 0.015510 0.009989 -2.465900 0.116712 0.050080 0.414219 0.827968 0.702634 0.766918 0.783656 0.444401 0.000123 0.724007 0.999968
#> Iteration: 1825 bestvalit: 35.514987 bestmemit: -6.209554 0.017970 0.015505 0.009973 -2.465365 0.116724 0.050080 0.413503 0.831474 0.698713 0.763574 0.782648 0.437607 0.000148 0.720465 0.999989
#> Iteration: 1850 bestvalit: 35.496052 bestmemit: -5.937926 0.018049 0.015767 0.010115 -2.467434 0.118295 0.050108 0.413650 0.824298 0.722273 0.774734 0.793816 0.433477 0.000330 0.713973 0.999873
#> Iteration: 1875 bestvalit: 35.388203 bestmemit: -8.067555 0.017447 0.015386 0.009655 -2.460009 0.127304 0.050230 0.412002 0.824058 0.831323 0.840110 0.801335 0.451510 0.001262 0.705706 0.995806
#> Iteration: 1900 bestvalit: 35.199733 bestmemit: -6.078183 0.017424 0.015541 0.009819 -2.462434 0.130183 0.050301 0.413385 0.911632 0.783209 0.840592 0.701619 0.349308 0.002408 0.615034 0.877142
#> Iteration: 1925 bestvalit: 35.096026 bestmemit: -5.398452 0.017034 0.015225 0.009489 -2.458414 0.132340 0.050352 0.413549 0.925915 0.797602 0.851303 0.612288 0.316508 0.002914 0.597796 0.998258
#> Iteration: 1950 bestvalit: 35.075829 bestmemit: -5.795834 0.017096 0.015292 0.009576 -2.459979 0.135833 0.050346 0.422094 0.928931 0.793808 0.850720 0.672165 0.311623 0.002866 0.601036 0.999903
#> Iteration: 1975 bestvalit: 34.843117 bestmemit: -9.011867 0.016590 0.015280 0.009401 -2.457412 0.167683 0.050483 0.437657 0.958368 0.864592 0.912812 0.989467 0.175601 0.004389 0.601802 0.999988
#> Iteration: 2000 bestvalit: 34.771018 bestmemit: -9.247326 0.016596 0.015144 0.009462 -2.456551 0.172513 0.050520 0.422726 0.964240 0.871078 0.939829 0.999846 0.147567 0.004850 0.616119 0.999895
#> Iteration: 2025 bestvalit: 34.762051 bestmemit: -6.736484 0.016685 0.015166 0.009587 -2.457202 0.168733 0.050513 0.431868 0.963775 0.874248 0.940810 0.999956 0.147647 0.004869 0.617990 0.999660
#> Iteration: 2050 bestvalit: 34.759940 bestmemit: -9.023891 0.016728 0.015210 0.009596 -2.457622 0.169544 0.050515 0.432936 0.965130 0.872713 0.942961 0.999866 0.142944 0.004925 0.616398 0.999955
#> Iteration: 2075 bestvalit: 34.752861 bestmemit: -6.834840 0.016917 0.015383 0.009731 -2.459680 0.169356 0.050492 0.433312 0.962307 0.869047 0.939217 0.996814 0.151750 0.004833 0.607099 0.999997
#> Iteration: 2100 bestvalit: 34.659751 bestmemit: -4.802671 0.017462 0.015584 0.009882 -2.462829 0.159676 0.050194 0.412215 0.940705 0.866243 0.900671 0.943796 0.180833 0.004546 0.446097 0.984916
#> Iteration: 2125 bestvalit: 34.509803 bestmemit: -6.985284 0.017558 0.015664 0.010056 -2.463622 0.151260 0.050000 0.422812 0.920114 0.861162 0.891780 0.901169 0.207721 0.004458 0.297980 0.974662
#> Iteration: 2150 bestvalit: 34.390852 bestmemit: -9.472696 0.016802 0.015087 0.009649 -2.457544 0.169208 0.050001 0.431893 0.956404 0.895643 0.947122 0.883195 0.188407 0.005931 0.090068 0.984812
#> Iteration: 2175 bestvalit: 34.361816 bestmemit: -7.114389 0.016883 0.015236 0.009671 -2.458520 0.171804 0.050000 0.431589 0.962203 0.888178 0.946422 0.884530 0.162275 0.006117 0.076446 0.987244
#> Iteration: 2200 bestvalit: 34.331009 bestmemit: -6.029032 0.016813 0.015250 0.009718 -2.458354 0.172667 0.050001 0.430111 0.963330 0.894803 0.947390 0.889695 0.159756 0.006281 0.044485 0.999893
#> Iteration: 2225 bestvalit: 34.203065 bestmemit: -4.836940 0.017085 0.015388 0.009604 -2.460572 0.180337 0.050025 0.440402 0.955763 0.887511 0.923005 0.998355 0.153284 0.006503 0.013822 0.999806
#> Iteration: 2250 bestvalit: 34.161034 bestmemit: -6.477178 0.016925 0.015205 0.009584 -2.458471 0.174910 0.050025 0.432582 0.955484 0.888728 0.934094 0.999967 0.167734 0.006574 0.000041 0.999754
#> Iteration: 2275 bestvalit: 34.155384 bestmemit: -8.689284 0.016989 0.015310 0.009715 -2.459507 0.174997 0.050022 0.431087 0.954678 0.890656 0.941890 0.999966 0.166573 0.006633 0.000205 0.999568
#> Iteration: 2300 bestvalit: 34.154872 bestmemit: -8.271327 0.016990 0.015312 0.009725 -2.459591 0.174840 0.050021 0.430445 0.954875 0.892029 0.942913 0.999994 0.167780 0.006598 0.000009 0.999632
#> Iteration: 2325 bestvalit: 34.154383 bestmemit: -7.763867 0.016972 0.015308 0.009712 -2.459458 0.175647 0.050019 0.430810 0.955334 0.892640 0.943161 0.999957 0.166983 0.006566 0.000016 0.999999
#> Iteration: 2350 bestvalit: 34.154277 bestmemit: -8.001352 0.016958 0.015295 0.009712 -2.459318 0.175472 0.050019 0.430818 0.955384 0.892153 0.943574 0.999998 0.167029 0.006564 0.000000 0.999999
#> Iteration: 2375 bestvalit: 34.154166 bestmemit: -8.825601 0.016969 0.015301 0.009708 -2.459427 0.175235 0.050019 0.431465 0.955171 0.891607 0.942911 1.000000 0.167745 0.006546 0.000023 1.000000
#> Iteration: 2400 bestvalit: 34.154026 bestmemit: -8.049855 0.016975 0.015298 0.009707 -2.459467 0.175315 0.050018 0.431279 0.954826 0.892522 0.943757 1.000000 0.168979 0.006505 0.000082 0.999991
#> Iteration: 2425 bestvalit: 34.153121 bestmemit: -8.639857 0.016960 0.015284 0.009649 -2.459191 0.174934 0.050012 0.430149 0.954627 0.892742 0.944104 1.000000 0.169557 0.006267 0.000385 0.999907
#> Iteration: 2450 bestvalit: 34.150187 bestmemit: -7.289795 0.016948 0.015272 0.009648 -2.459030 0.175135 0.050000 0.431844 0.954205 0.895567 0.945364 0.999999 0.170433 0.005763 0.001066 0.999732
#> Iteration: 2475 bestvalit: 34.147750 bestmemit: -8.331436 0.017010 0.015325 0.009737 -2.459759 0.174881 0.050000 0.431327 0.953970 0.890817 0.940486 0.999998 0.167904 0.005580 0.001342 0.999676
#> Iteration: 2500 bestvalit: 34.147712 bestmemit: -8.107335 0.017005 0.015322 0.009730 -2.459682 0.175004 0.050000 0.431796 0.954260 0.890193 0.940330 0.999998 0.167383 0.005577 0.001358 0.999684
#> Iteration: 2525 bestvalit: 34.147187 bestmemit: -8.856239 0.017017 0.015329 0.009733 -2.459759 0.174818 0.050000 0.432804 0.953599 0.890853 0.940576 0.999992 0.168368 0.005476 0.001724 0.999992
#> Iteration: 2550 bestvalit: 34.147008 bestmemit: -8.979433 0.017006 0.015322 0.009731 -2.459690 0.174865 0.050000 0.431761 0.954325 0.890319 0.940145 0.999992 0.166772 0.005480 0.001686 1.000000
#> Iteration: 2575 bestvalit: 34.146816 bestmemit: -8.735044 0.017012 0.015328 0.009732 -2.459758 0.174785 0.050000 0.431587 0.953953 0.890757 0.939723 0.999995 0.167141 0.005444 0.001651 0.999997
#> Iteration: 2600 bestvalit: 34.146747 bestmemit: -8.327589 0.017012 0.015330 0.009732 -2.459781 0.174859 0.050000 0.431827 0.953905 0.890471 0.939713 0.999995 0.167541 0.005437 0.001628 0.999999
#> Iteration: 2625 bestvalit: 34.146686 bestmemit: -7.965751 0.017015 0.015330 0.009735 -2.459827 0.174798 0.050000 0.431723 0.953882 0.889914 0.939635 0.999996 0.167304 0.005419 0.001595 1.000000
#> Iteration: 2650 bestvalit: 34.146649 bestmemit: -8.027547 0.017008 0.015325 0.009735 -2.459780 0.174833 0.050000 0.431379 0.954071 0.889916 0.939776 0.999996 0.166792 0.005422 0.001551 1.000000
#> Iteration: 2675 bestvalit: 34.146229 bestmemit: -8.777285 0.016978 0.015301 0.009715 -2.459476 0.174693 0.050000 0.433258 0.954317 0.890428 0.940337 0.999998 0.168148 0.005391 0.001220 1.000000
#> Iteration: 2700 bestvalit: 34.143582 bestmemit: -7.442070 0.016973 0.015276 0.009705 -2.459146 0.175289 0.050000 0.434900 0.953560 0.888174 0.936500 1.000000 0.166322 0.004861 0.000008 0.999995
#> Iteration: 2725 bestvalit: 34.142571 bestmemit: -8.785603 0.017021 0.015334 0.009750 -2.459796 0.175145 0.050000 0.432550 0.953487 0.890198 0.938784 1.000000 0.166938 0.004947 0.000007 0.999996
#> Iteration: 2750 bestvalit: 34.142485 bestmemit: -8.555812 0.017040 0.015346 0.009754 -2.459997 0.174861 0.050000 0.432455 0.953207 0.889606 0.938233 1.000000 0.167676 0.004906 0.000000 0.999995
#> Iteration: 2775 bestvalit: 34.142472 bestmemit: -8.329112 0.017034 0.015343 0.009746 -2.459940 0.174815 0.050000 0.432214 0.953193 0.889779 0.938236 1.000000 0.167638 0.004915 0.000000 0.999996
#> Iteration: 2800 bestvalit: 34.142390 bestmemit: -8.043096 0.017042 0.015355 0.009758 -2.460090 0.174806 0.050000 0.432118 0.953217 0.890142 0.937601 0.999995 0.166724 0.004880 0.000000 0.999998
#> Iteration: 2825 bestvalit: 34.142250 bestmemit: -8.187045 0.017028 0.015337 0.009745 -2.459854 0.174867 0.050000 0.432575 0.953078 0.890350 0.938433 0.999993 0.167192 0.004880 0.000000 0.999999
#> Iteration: 2850 bestvalit: 34.142227 bestmemit: -8.927166 0.017031 0.015340 0.009747 -2.459889 0.174951 0.050000 0.432521 0.953215 0.889803 0.938290 0.999993 0.167378 0.004876 0.000000 0.999999
#> Iteration: 2875 bestvalit: 34.142226 bestmemit: -8.797454 0.017032 0.015341 0.009748 -2.459900 0.174945 0.050000 0.432484 0.953221 0.889834 0.938361 0.999993 0.167394 0.004877 0.000000 0.999999
#> ... Finished Calibration.
#> Best solution: 34.1422261627819
#>
#> ... Doing Calibration Trial 9 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6571254903261
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 87.980104 bestmemit: -7.083764 0.262173 -0.270126 0.029031 -2.747963 0.303443 0.659759 0.477556 0.684975 0.619456 0.964940 0.893237 0.074708 0.206719 0.641986 0.461898
#> Iteration: 50 bestvalit: 53.186914 bestmemit: -5.252472 0.018777 0.014296 -0.151769 -2.490865 0.244797 0.454749 0.690314 0.786801 0.678111 0.759896 0.732193 0.407625 0.350345 0.493858 0.738523
#> Iteration: 75 bestvalit: 53.186914 bestmemit: -5.252472 0.018777 0.014296 -0.151769 -2.490865 0.244797 0.454749 0.690314 0.786801 0.678111 0.759896 0.732193 0.407625 0.350345 0.493858 0.738523
#> ... Finished Calibration.
#> Best solution: 53.1869138800514
#>
#> ... Doing Calibration Trial 10 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6571254903261
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 65.870572 bestmemit: -3.642330 0.009246 0.099424 -0.191445 -2.358497 0.600308 0.635158 0.486963 0.974100 0.701887 0.540462 0.936967 0.378934 0.168529 0.655101 0.631679
#> Iteration: 50 bestvalit: 61.434074 bestmemit: -2.468486 0.015357 0.117078 -0.277560 -2.426673 0.525930 0.728543 0.298466 0.989676 0.549562 0.574385 0.701905 0.341614 0.305077 0.804491 0.475391
#> Iteration: 75 bestvalit: 53.180375 bestmemit: -2.942595 0.014410 0.118816 -0.208222 -2.464041 0.413799 0.396215 0.219824 0.997665 0.549784 0.662719 0.339845 0.352685 0.145993 0.553689 0.098017
#> Iteration: 100 bestvalit: 44.761861 bestmemit: -4.654123 0.012732 -0.337983 0.002994 -2.426305 0.151421 0.059523 0.689030 0.985670 0.212428 0.996658 0.062221 0.517111 0.047431 0.534835 0.852689
#> Iteration: 125 bestvalit: 41.137111 bestmemit: -5.403108 0.016701 -0.367961 0.012828 -2.462069 0.159520 0.268045 0.575874 0.989772 0.324415 0.936003 0.074851 0.516643 0.035546 0.490839 0.924818
#> Iteration: 150 bestvalit: 39.173377 bestmemit: -6.596270 0.014277 0.054202 0.007055 -2.426378 0.148106 0.363486 0.369673 0.987617 0.308776 0.972607 0.014034 0.513360 0.095803 0.586249 0.767758
#> Iteration: 175 bestvalit: 37.603901 bestmemit: -6.066870 0.015229 0.008823 0.009434 -2.442399 0.112927 0.339248 0.527904 0.959574 0.511838 0.900986 0.212290 0.548954 0.042537 0.685161 0.834293
#> Iteration: 200 bestvalit: 36.225857 bestmemit: -6.311763 0.016272 0.004589 0.009572 -2.453918 0.113504 0.093187 0.471988 0.964755 0.313292 0.966323 0.478204 0.749994 0.013941 0.978485 0.547621
#> Iteration: 225 bestvalit: 35.934376 bestmemit: -5.831158 0.017071 0.005497 0.010009 -2.463956 0.118010 0.052568 0.446637 0.963224 0.373877 0.955885 0.570068 0.775304 0.022405 0.913351 0.358278
#> Iteration: 250 bestvalit: 35.614889 bestmemit: -7.510031 0.015833 0.004415 0.008906 -2.448506 0.115707 0.052775 0.443703 0.968093 0.542504 0.954735 0.569927 0.882484 0.007277 0.999000 0.877457
#> Iteration: 275 bestvalit: 35.510712 bestmemit: -7.276354 0.016216 0.004449 0.009547 -2.453164 0.117308 0.050058 0.432600 0.968323 0.820376 0.945260 0.512267 0.905739 0.000561 0.992572 0.491326
#> Iteration: 300 bestvalit: 35.467263 bestmemit: -7.865185 0.016173 0.004669 0.009355 -2.452125 0.120430 0.050310 0.422593 0.963661 0.986723 0.952303 0.547098 0.930428 0.000894 0.996316 0.598555
#> Iteration: 325 bestvalit: 35.450579 bestmemit: -8.640734 0.016166 0.004577 0.009341 -2.452123 0.119802 0.050178 0.427921 0.965729 0.984824 0.953941 0.539534 0.933777 0.000035 0.998407 0.475053
#> Iteration: 350 bestvalit: 35.446413 bestmemit: -9.163503 0.016221 0.004615 0.009463 -2.452945 0.119409 0.050068 0.431383 0.966068 0.994176 0.953336 0.541671 0.934170 0.000085 0.999854 0.444289
#> Iteration: 375 bestvalit: 35.443923 bestmemit: -7.691311 0.016206 0.004595 0.009395 -2.452509 0.119426 0.050006 0.429372 0.965455 0.996110 0.955314 0.551681 0.935903 0.000023 0.999931 0.474396
#> Iteration: 400 bestvalit: 35.443317 bestmemit: -8.017439 0.016248 0.004640 0.009431 -2.453118 0.119224 0.050002 0.429408 0.965669 0.993302 0.954669 0.546973 0.935435 0.000003 0.999878 0.440052
#> Iteration: 425 bestvalit: 35.442924 bestmemit: -8.636477 0.016244 0.004629 0.009445 -2.453114 0.119214 0.050003 0.430093 0.965570 0.999823 0.954303 0.550064 0.935334 0.000007 0.999984 0.259222
#> Iteration: 450 bestvalit: 35.442784 bestmemit: -8.078529 0.016254 0.004655 0.009456 -2.453234 0.119299 0.050001 0.429468 0.965519 0.999825 0.954304 0.547843 0.935401 0.000002 0.999997 0.195841
#> Iteration: 475 bestvalit: 35.442744 bestmemit: -8.152083 0.016245 0.004640 0.009446 -2.453115 0.119291 0.050000 0.428939 0.965612 0.999824 0.954735 0.548851 0.935848 0.000001 0.999996 0.278482
#> Iteration: 500 bestvalit: 35.442719 bestmemit: -8.668378 0.016247 0.004639 0.009448 -2.453130 0.119355 0.050000 0.429426 0.965618 0.999998 0.954647 0.548492 0.935788 0.000000 0.999997 0.450225
#> Iteration: 525 bestvalit: 35.442711 bestmemit: -9.893739 0.016246 0.004640 0.009447 -2.453126 0.119323 0.050000 0.429331 0.965596 0.999984 0.954564 0.548376 0.935696 0.000000 1.000000 0.763232
#> Iteration: 550 bestvalit: 35.442709 bestmemit: -9.105041 0.016247 0.004642 0.009446 -2.453132 0.119342 0.050000 0.429373 0.965595 0.999996 0.954553 0.548607 0.935678 0.000000 1.000000 0.680528
#> Iteration: 575 bestvalit: 35.442708 bestmemit: -8.755762 0.016246 0.004640 0.009447 -2.453127 0.119343 0.050000 0.429289 0.965622 0.999997 0.954585 0.548499 0.935728 0.000000 1.000000 0.180237
#> ... Finished Calibration.
#> Best solution: 35.4427074043399
#>
#> ... Doing Calibration Trial 11 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6571254903261
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 83.235309 bestmemit: -4.822896 0.043628 0.035378 -0.183739 -3.070546 0.330948 0.343029 0.556081 0.765035 0.717597 0.474650 0.741776 0.171189 0.369237 0.392847 0.942305
#> Iteration: 50 bestvalit: 51.238248 bestmemit: -6.962157 0.019208 0.010107 -0.048111 -2.517844 0.296929 0.284036 0.321725 0.992186 0.913097 0.301423 0.267122 0.307317 0.426022 0.205853 0.396133
#> Iteration: 75 bestvalit: 51.238248 bestmemit: -6.962157 0.019208 0.010107 -0.048111 -2.517844 0.296929 0.284036 0.321725 0.992186 0.913097 0.301423 0.267122 0.307317 0.426022 0.205853 0.396133
#> ... Finished Calibration.
#> Best solution: 51.2382483487127
#>
#> ... Doing Calibration Trial 12 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6571254903261
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 63.654868 bestmemit: -5.009383 0.020810 0.052426 0.277823 -2.550566 0.687643 0.331334 0.334339 0.942212 0.905879 0.407048 0.501110 0.331508 0.433081 0.856631 0.479760
#> Iteration: 50 bestvalit: 42.356884 bestmemit: -8.170549 0.016864 0.010627 0.003799 -2.458290 0.128831 0.324021 0.378123 0.987208 0.881116 0.938959 0.412710 0.248626 0.619114 0.636244 0.900523
#> Iteration: 75 bestvalit: 37.911812 bestmemit: -6.423733 0.016525 0.008821 0.010239 -2.455517 0.120561 0.395116 0.378495 0.954951 0.904054 0.328028 0.435649 0.168382 0.637069 0.642537 0.439349
#> Iteration: 100 bestvalit: 36.698271 bestmemit: -5.156980 0.015652 0.008973 0.006327 -2.445010 0.119382 0.419807 0.115815 0.965312 0.999170 0.341642 0.741238 0.099992 0.644861 0.999950 0.519074
#> Iteration: 125 bestvalit: 36.310436 bestmemit: -9.334834 0.016782 0.009731 0.005374 -2.460306 0.119230 0.403302 0.050113 0.962198 0.975537 0.495109 0.721131 0.085936 0.771355 0.977066 0.321896
#> Iteration: 150 bestvalit: 35.964903 bestmemit: -4.844265 0.016349 0.009862 0.004750 -2.453984 0.117624 0.414945 0.050303 0.962326 0.954060 0.475182 0.720481 0.046796 0.879587 0.996802 0.404123
#> Iteration: 175 bestvalit: 35.862779 bestmemit: -5.873043 0.016277 0.009623 0.004607 -2.452910 0.118701 0.425287 0.050030 0.965406 0.971484 0.307865 0.674539 0.037242 0.872328 0.996026 0.692522
#> Iteration: 200 bestvalit: 35.831035 bestmemit: -5.176108 0.016584 0.009862 0.004954 -2.456543 0.121454 0.432887 0.050012 0.966163 0.976078 0.358701 0.651153 0.033633 0.902486 0.999005 0.064068
#> Iteration: 225 bestvalit: 35.812677 bestmemit: -5.868833 0.016601 0.009954 0.005013 -2.456162 0.122167 0.428200 0.050002 0.965801 0.975324 0.367341 0.620789 0.029146 0.896600 0.998382 0.192135
#> Iteration: 250 bestvalit: 35.752691 bestmemit: -5.378924 0.016691 0.010120 0.005142 -2.457452 0.123629 0.437054 0.050064 0.967640 0.963224 0.278718 0.575956 0.007293 0.818256 0.999721 0.940604
#> Iteration: 275 bestvalit: 35.688794 bestmemit: -4.633678 0.016475 0.009765 0.004591 -2.454947 0.122867 0.427568 0.050131 0.964558 0.961985 0.302087 0.514091 0.006225 0.811991 0.998050 0.117334
#> Iteration: 300 bestvalit: 35.535904 bestmemit: -4.786089 0.016375 0.009618 0.004850 -2.455378 0.118030 0.432688 0.050087 0.966554 0.950263 0.478692 0.449472 0.000543 0.856451 0.986078 0.537318
#> Iteration: 325 bestvalit: 35.502030 bestmemit: -7.206686 0.016188 0.009458 0.004612 -2.452432 0.119888 0.426939 0.050096 0.966045 0.950574 0.568478 0.447623 0.000020 0.879618 0.983279 0.761900
#> Iteration: 350 bestvalit: 35.491026 bestmemit: -5.920569 0.016310 0.009601 0.004701 -2.453544 0.120168 0.431987 0.050143 0.966060 0.951265 0.606814 0.433922 0.000042 0.888011 0.993818 0.262359
#> Iteration: 375 bestvalit: 35.478684 bestmemit: -6.708562 0.016174 0.009414 0.004628 -2.452168 0.120512 0.430882 0.050313 0.965756 0.953063 0.645627 0.430077 0.000442 0.897101 0.999998 0.366896
#> Iteration: 400 bestvalit: 35.474651 bestmemit: -6.466217 0.016198 0.009450 0.004609 -2.452623 0.120160 0.429763 0.050389 0.965912 0.953738 0.654559 0.441586 0.000010 0.900170 0.999986 0.881303
#> Iteration: 425 bestvalit: 35.471933 bestmemit: -9.377965 0.016246 0.009471 0.004661 -2.453111 0.119086 0.430432 0.050342 0.965531 0.953524 0.667187 0.438319 0.000017 0.901321 0.999984 0.045378
#> Iteration: 450 bestvalit: 35.469810 bestmemit: -8.221656 0.016255 0.009445 0.004648 -2.453162 0.119477 0.432877 0.050260 0.965014 0.953206 0.686225 0.445109 0.000048 0.903517 0.999895 0.686697
#> Iteration: 475 bestvalit: 35.465416 bestmemit: -8.055447 0.016247 0.009471 0.004658 -2.453099 0.119309 0.432089 0.050025 0.965286 0.949601 0.727892 0.443896 0.000155 0.904238 0.999574 0.617881
#> Iteration: 500 bestvalit: 35.462680 bestmemit: -7.475220 0.016237 0.009437 0.004650 -2.453133 0.119633 0.429753 0.050000 0.965799 0.953280 0.726127 0.450560 0.000177 0.909787 0.999352 0.613907
#> Iteration: 525 bestvalit: 35.460878 bestmemit: -7.730656 0.016232 0.009421 0.004622 -2.453012 0.119281 0.429799 0.050004 0.965762 0.952085 0.739818 0.438893 0.000014 0.909261 0.999878 0.782504
#> Iteration: 550 bestvalit: 35.459663 bestmemit: -9.892015 0.016235 0.009440 0.004648 -2.453049 0.119502 0.430926 0.050000 0.966160 0.953838 0.740342 0.442526 0.000019 0.912167 0.999994 0.614645
#> Iteration: 575 bestvalit: 35.459531 bestmemit: -8.469063 0.016236 0.009434 0.004660 -2.453045 0.119635 0.429904 0.050000 0.965931 0.953835 0.741022 0.442948 0.000022 0.912091 0.999999 0.806515
#> Iteration: 600 bestvalit: 35.459361 bestmemit: -9.262800 0.016250 0.009449 0.004680 -2.453251 0.119509 0.429228 0.050000 0.965881 0.953915 0.741449 0.446432 0.000001 0.912371 1.000000 0.568841
#> Iteration: 625 bestvalit: 35.459236 bestmemit: -9.585604 0.016252 0.009442 0.004680 -2.453295 0.119343 0.429751 0.050001 0.965727 0.953374 0.747465 0.447181 0.000031 0.912273 0.999998 0.542882
#> Iteration: 650 bestvalit: 35.459093 bestmemit: -8.901595 0.016251 0.009445 0.004675 -2.453311 0.119511 0.429685 0.050004 0.965765 0.952934 0.754331 0.448518 0.000069 0.912581 0.999994 0.196343
#> Iteration: 675 bestvalit: 35.458784 bestmemit: -9.845540 0.016246 0.009451 0.004669 -2.453196 0.119421 0.428930 0.050013 0.965922 0.954090 0.756106 0.445142 0.000108 0.914280 0.999995 0.526547
#> Iteration: 700 bestvalit: 35.458673 bestmemit: -8.087803 0.016254 0.009451 0.004675 -2.453279 0.119425 0.429747 0.050015 0.965917 0.954041 0.756944 0.446538 0.000099 0.914369 1.000000 0.290158
#> Iteration: 725 bestvalit: 35.458454 bestmemit: -8.678110 0.016247 0.009447 0.004671 -2.453218 0.119415 0.429267 0.050023 0.965879 0.953078 0.764945 0.446461 0.000106 0.913974 1.000000 0.356902
#> Iteration: 750 bestvalit: 35.458152 bestmemit: -8.758270 0.016251 0.009444 0.004669 -2.453267 0.119329 0.429360 0.050044 0.965588 0.951935 0.780997 0.448847 0.000132 0.914181 1.000000 0.420257
#> Iteration: 775 bestvalit: 35.458137 bestmemit: -8.271185 0.016249 0.009442 0.004666 -2.453252 0.119390 0.429618 0.050044 0.965608 0.951934 0.781058 0.448425 0.000127 0.914180 1.000000 0.719924
#> Iteration: 800 bestvalit: 35.457798 bestmemit: -9.541243 0.016266 0.009466 0.004689 -2.453380 0.119355 0.430709 0.050061 0.965421 0.952321 0.785005 0.446621 0.000106 0.914893 0.999999 0.461881
#> Iteration: 825 bestvalit: 35.457004 bestmemit: -8.717113 0.016246 0.009449 0.004649 -2.453126 0.119435 0.430311 0.050077 0.965622 0.952958 0.785178 0.446900 0.000001 0.915871 0.999997 0.263889
#> Iteration: 850 bestvalit: 35.456768 bestmemit: -8.246304 0.016251 0.009446 0.004663 -2.453205 0.119400 0.429932 0.050083 0.965553 0.952668 0.791586 0.447854 0.000008 0.916180 0.999999 0.529877
#> Iteration: 875 bestvalit: 35.456522 bestmemit: -8.493555 0.016257 0.009456 0.004673 -2.453301 0.119428 0.429870 0.050087 0.965584 0.952971 0.793861 0.445957 0.000000 0.916740 0.999999 0.621660
#> Iteration: 900 bestvalit: 35.456283 bestmemit: -9.493672 0.016249 0.009460 0.004665 -2.453180 0.119421 0.429271 0.050096 0.965609 0.954060 0.794568 0.445334 0.000003 0.918175 0.999999 0.789583
#> Iteration: 925 bestvalit: 35.456172 bestmemit: -8.075669 0.016251 0.009455 0.004664 -2.453221 0.119407 0.429964 0.050096 0.965812 0.954012 0.796102 0.444242 0.000000 0.918367 0.999999 0.228861
#> Iteration: 950 bestvalit: 35.455994 bestmemit: -8.103447 0.016245 0.009445 0.004650 -2.453186 0.119394 0.429706 0.050095 0.965838 0.953806 0.799128 0.449043 0.000000 0.918642 0.999999 0.162730
#> Iteration: 975 bestvalit: 35.455233 bestmemit: -9.186654 0.016253 0.009459 0.004647 -2.453259 0.119490 0.428703 0.050116 0.965339 0.952033 0.825786 0.447095 0.000002 0.918704 0.999994 0.680486
#> Iteration: 1000 bestvalit: 35.455030 bestmemit: -8.295707 0.016250 0.009445 0.004656 -2.453209 0.119353 0.429744 0.050120 0.965419 0.951463 0.832532 0.447978 0.000002 0.918770 0.999993 0.515233
#> Iteration: 1025 bestvalit: 35.455006 bestmemit: -8.055783 0.016250 0.009450 0.004660 -2.453225 0.119339 0.429412 0.050121 0.965393 0.951414 0.833708 0.448876 0.000002 0.918846 0.999993 0.482483
#> Iteration: 1050 bestvalit: 35.454722 bestmemit: -9.510488 0.016244 0.009442 0.004662 -2.453150 0.119341 0.429243 0.050133 0.965507 0.951982 0.835556 0.446506 0.000005 0.919682 1.000000 0.161605
#> Iteration: 1075 bestvalit: 35.454594 bestmemit: -7.686384 0.016259 0.009455 0.004673 -2.453330 0.119360 0.429743 0.050134 0.965363 0.952231 0.835530 0.448801 0.000001 0.919978 1.000000 0.373785
#> Iteration: 1100 bestvalit: 35.454490 bestmemit: -8.614739 0.016246 0.009450 0.004659 -2.453165 0.119380 0.429630 0.050137 0.965459 0.952304 0.835982 0.447378 0.000000 0.920113 1.000000 0.435605
#> Iteration: 1125 bestvalit: 35.454338 bestmemit: -9.859841 0.016250 0.009453 0.004666 -2.453232 0.119205 0.429556 0.050138 0.965367 0.952659 0.837114 0.449170 0.000000 0.920659 1.000000 0.880428
#> Iteration: 1150 bestvalit: 35.454109 bestmemit: -8.692167 0.016253 0.009451 0.004662 -2.453246 0.119280 0.429705 0.050142 0.965584 0.952671 0.840561 0.446130 0.000004 0.921016 0.999997 0.679267
#> Iteration: 1175 bestvalit: 35.453857 bestmemit: -8.197205 0.016249 0.009452 0.004659 -2.453204 0.119416 0.429457 0.050148 0.965680 0.954158 0.839281 0.446681 0.000011 0.922753 0.999995 0.762762
#> Iteration: 1200 bestvalit: 35.453698 bestmemit: -9.479515 0.016251 0.009442 0.004650 -2.453232 0.119451 0.430032 0.050143 0.965756 0.953985 0.843007 0.447814 0.000024 0.922986 0.999984 0.997542
#> Iteration: 1225 bestvalit: 35.452602 bestmemit: -8.913342 0.016251 0.009450 0.004652 -2.453252 0.119209 0.429289 0.050096 0.965294 0.951148 0.883729 0.449616 0.000146 0.923113 0.999872 0.631856
#> Iteration: 1250 bestvalit: 35.452569 bestmemit: -9.388963 0.016247 0.009444 0.004651 -2.453187 0.119279 0.429432 0.050100 0.965352 0.951287 0.881755 0.449212 0.000139 0.923119 0.999878 0.782296
#> Iteration: 1275 bestvalit: 35.452248 bestmemit: -7.784255 0.016247 0.009432 0.004631 -2.453113 0.119317 0.427957 0.050110 0.965486 0.951514 0.881109 0.453922 0.000068 0.923584 0.999896 0.285427
#> Iteration: 1300 bestvalit: 35.451379 bestmemit: -8.609242 0.016254 0.009452 0.004659 -2.453253 0.119371 0.429659 0.050116 0.965429 0.951949 0.884248 0.450061 0.000000 0.924157 0.999907 0.657842
#> Iteration: 1325 bestvalit: 35.451355 bestmemit: -8.082511 0.016256 0.009453 0.004664 -2.453290 0.119346 0.429587 0.050114 0.965505 0.951918 0.884571 0.449614 0.000000 0.924181 0.999906 0.944769
#> Iteration: 1350 bestvalit: 35.450917 bestmemit: -7.580893 0.016235 0.009427 0.004661 -2.453082 0.119388 0.429418 0.050100 0.965559 0.952151 0.889729 0.451295 0.000000 0.924980 0.999893 0.715302
#> Iteration: 1375 bestvalit: 35.449373 bestmemit: -7.544921 0.016259 0.009467 0.004680 -2.453286 0.119632 0.429514 0.050045 0.966041 0.955420 0.893058 0.447964 0.000000 0.929090 0.999830 0.183505
#> Iteration: 1400 bestvalit: 35.449128 bestmemit: -9.917456 0.016246 0.009447 0.004651 -2.453147 0.119353 0.429500 0.050043 0.965809 0.955562 0.893651 0.449733 0.000000 0.929220 0.999831 0.287332
#> Iteration: 1425 bestvalit: 35.448871 bestmemit: -8.310927 0.016234 0.009430 0.004624 -2.452938 0.119347 0.429353 0.050050 0.965760 0.955300 0.899891 0.449903 0.000001 0.929397 0.999836 0.091686
#> Iteration: 1450 bestvalit: 35.447695 bestmemit: -7.425633 0.016251 0.009455 0.004650 -2.453180 0.119438 0.429334 0.050091 0.965189 0.952925 0.938549 0.451640 0.000008 0.929504 0.999890 0.736579
#> Iteration: 1475 bestvalit: 35.447416 bestmemit: -8.670995 0.016250 0.009443 0.004647 -2.453195 0.119247 0.429264 0.050097 0.965425 0.952281 0.948116 0.449951 0.000010 0.929611 0.999904 0.098154
#> Iteration: 1500 bestvalit: 35.446172 bestmemit: -9.386748 0.016254 0.009451 0.004654 -2.453210 0.119241 0.429121 0.050027 0.965817 0.955586 0.944169 0.449525 0.000012 0.933031 0.999873 0.885957
#> Iteration: 1525 bestvalit: 35.445825 bestmemit: -8.955754 0.016246 0.009450 0.004638 -2.453154 0.119092 0.427312 0.050030 0.965627 0.955218 0.955009 0.454291 0.000021 0.933468 0.999891 0.730607
#> Iteration: 1550 bestvalit: 35.444577 bestmemit: -9.510255 0.016264 0.009456 0.004649 -2.453328 0.119377 0.429485 0.050064 0.965370 0.953138 0.994506 0.450084 0.000057 0.933732 0.999952 0.141953
#> Iteration: 1575 bestvalit: 35.444475 bestmemit: -8.435613 0.016254 0.009442 0.004648 -2.453232 0.119294 0.429599 0.050067 0.965398 0.952757 0.999641 0.451633 0.000062 0.933762 0.999962 0.562815
#> Iteration: 1600 bestvalit: 35.444283 bestmemit: -7.220319 0.016255 0.009445 0.004660 -2.453264 0.119241 0.429959 0.050047 0.965533 0.953775 0.993162 0.450659 0.000067 0.934388 0.999949 0.984816
#> Iteration: 1625 bestvalit: 35.443702 bestmemit: -7.925860 0.016248 0.009444 0.004643 -2.453138 0.119383 0.429385 0.050020 0.965693 0.955057 0.999980 0.452194 0.000112 0.936249 0.999955 0.785221
#> Iteration: 1650 bestvalit: 35.443630 bestmemit: -8.195598 0.016254 0.009450 0.004649 -2.453225 0.119345 0.429515 0.050013 0.965726 0.955325 0.999971 0.451384 0.000115 0.936524 0.999955 0.258646
#> Iteration: 1675 bestvalit: 35.443346 bestmemit: -7.022905 0.016244 0.009432 0.004650 -2.453069 0.119366 0.430291 0.050001 0.965737 0.955614 0.998045 0.451433 0.000042 0.936694 0.999942 0.408689
#> Iteration: 1700 bestvalit: 35.443050 bestmemit: -8.001196 0.016253 0.009446 0.004658 -2.453228 0.119383 0.429158 0.050000 0.965758 0.955422 0.997107 0.450972 0.000000 0.936434 0.999940 0.137186
#> Iteration: 1725 bestvalit: 35.442989 bestmemit: -8.066776 0.016246 0.009449 0.004647 -2.453158 0.119242 0.429537 0.050001 0.965751 0.955215 0.997731 0.451873 0.000000 0.936292 0.999939 0.331750
#> Iteration: 1750 bestvalit: 35.442856 bestmemit: -8.088011 0.016248 0.009448 0.004644 -2.453159 0.119310 0.429346 0.050003 0.965615 0.954365 0.999933 0.452279 0.000000 0.935513 0.999932 0.472470
#> Iteration: 1775 bestvalit: 35.442799 bestmemit: -8.066560 0.016247 0.009450 0.004642 -2.453138 0.119351 0.429393 0.050000 0.965701 0.954556 0.999938 0.451668 0.000000 0.935741 0.999931 0.199767
#> Iteration: 1800 bestvalit: 35.442787 bestmemit: -8.042879 0.016245 0.009446 0.004637 -2.453103 0.119344 0.429291 0.050000 0.965615 0.954663 0.999999 0.451137 0.000001 0.935788 0.999931 0.749608
#> Iteration: 1825 bestvalit: 35.442783 bestmemit: -8.120550 0.016246 0.009445 0.004639 -2.453115 0.119328 0.429196 0.050000 0.965651 0.954630 0.999998 0.451351 0.000001 0.935784 0.999931 0.274163
#> Iteration: 1850 bestvalit: 35.442777 bestmemit: -8.021921 0.016248 0.009446 0.004643 -2.453143 0.119337 0.429391 0.050000 0.965620 0.954628 0.999998 0.451641 0.000000 0.935776 0.999931 0.891750
#> Iteration: 1875 bestvalit: 35.442777 bestmemit: -8.084636 0.016247 0.009447 0.004642 -2.453136 0.119338 0.429327 0.050000 0.965619 0.954632 0.999997 0.451646 0.000000 0.935778 0.999931 0.997015
#> ... Finished Calibration.
#> Best solution: 35.4427764400317
#>
#> ... Doing Calibration Trial 13 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6571254903261
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 68.780400 bestmemit: -6.259930 0.028636 -0.078018 0.473477 -2.693111 0.661813 0.289952 0.281153 0.935430 0.787101 0.714868 0.251317 0.126117 0.378282 0.656880 0.336136
#> Iteration: 50 bestvalit: 43.708643 bestmemit: -7.045780 0.011815 0.016043 0.007373 -2.461118 0.517428 0.230611 0.425169 0.801660 0.991516 0.450309 0.383776 0.072321 0.358865 0.618485 0.191021
#> Iteration: 75 bestvalit: 37.765833 bestmemit: -3.599520 0.010093 0.017078 0.012160 -2.462278 0.447778 0.113770 0.236463 0.791009 0.961516 0.536762 0.397882 0.025522 0.432711 0.574692 0.947920
#> Iteration: 100 bestvalit: 36.209273 bestmemit: -7.837604 0.009947 0.016704 0.009988 -2.457360 0.418757 0.119476 0.194838 0.972946 0.945289 0.204688 0.582749 0.000908 0.169743 0.002313 0.967996
#> Iteration: 125 bestvalit: 36.062468 bestmemit: -5.906017 0.010153 0.017183 0.012403 -2.461081 0.457732 0.110305 0.191006 0.984881 0.903218 0.392526 0.743263 0.000005 0.107818 0.000222 0.993901
#> Iteration: 150 bestvalit: 35.991347 bestmemit: -5.514375 0.010902 0.018202 0.013214 -2.472448 0.446310 0.105948 0.174765 0.975353 0.905104 0.548118 0.673256 0.000068 0.095598 0.000140 0.998896
#> Iteration: 175 bestvalit: 35.982060 bestmemit: -5.699886 0.010888 0.018172 0.013339 -2.471831 0.445753 0.105484 0.181740 0.975627 0.907728 0.566105 0.631427 0.000004 0.093648 0.000619 0.999987
#> Iteration: 200 bestvalit: 35.979029 bestmemit: -5.739572 0.010839 0.018138 0.013278 -2.471702 0.446228 0.105036 0.182763 0.973368 0.909858 0.577295 0.612300 0.000002 0.092628 0.001104 0.999931
#> Iteration: 225 bestvalit: 35.978376 bestmemit: -5.735231 0.010845 0.018134 0.013256 -2.471615 0.446910 0.105012 0.183430 0.974432 0.910946 0.579374 0.606145 0.000000 0.092073 0.000778 0.999997
#> Iteration: 250 bestvalit: 35.977468 bestmemit: -5.705808 0.010861 0.018171 0.013290 -2.472010 0.447047 0.104276 0.181658 0.974828 0.910999 0.583164 0.599814 0.000004 0.090371 0.000019 0.999936
#> Iteration: 275 bestvalit: 35.977347 bestmemit: -5.700325 0.010865 0.018170 0.013279 -2.472036 0.447106 0.104328 0.181489 0.974769 0.911038 0.581461 0.602271 0.000000 0.091350 0.000000 0.999907
#> Iteration: 300 bestvalit: 35.977328 bestmemit: -5.705056 0.010870 0.018176 0.013290 -2.472091 0.446750 0.104346 0.181438 0.974933 0.910978 0.582122 0.602499 0.000000 0.090964 0.000000 0.999937
#> Iteration: 325 bestvalit: 35.977275 bestmemit: -5.719957 0.010870 0.018177 0.013286 -2.472115 0.447041 0.104321 0.181382 0.974844 0.911012 0.582093 0.603324 0.000000 0.091097 0.000001 1.000000
#> Iteration: 350 bestvalit: 35.977270 bestmemit: -5.715627 0.010869 0.018174 0.013283 -2.472081 0.447052 0.104345 0.181433 0.974851 0.910943 0.581807 0.604128 0.000000 0.091118 0.000000 1.000000
#> Iteration: 375 bestvalit: 35.977269 bestmemit: -5.716342 0.010870 0.018174 0.013283 -2.472081 0.447059 0.104350 0.181426 0.974866 0.910952 0.581733 0.604153 0.000000 0.091112 0.000000 1.000000
#> ... Finished Calibration.
#> Best solution: 35.9772692536124
#>
#> ... Doing Calibration Trial 14 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6571254903261
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 81.652789 bestmemit: -7.956102 0.035580 -0.243814 -0.166000 -2.913578 0.476542 0.427840 0.518563 0.893430 0.586701 0.530978 0.298308 0.269108 0.263293 0.614688 0.563703
#> Iteration: 50 bestvalit: 55.146512 bestmemit: -4.037091 0.014822 0.220276 0.254493 -2.457329 0.308212 0.340424 0.387972 0.937312 0.582506 0.491044 0.785422 0.289939 0.337166 0.995448 0.350088
#> Iteration: 75 bestvalit: 52.723715 bestmemit: -6.051801 0.018482 0.334419 0.240132 -2.503405 0.295590 0.348818 0.382303 0.990864 0.555829 0.600952 0.663930 0.350293 0.289212 0.998714 0.298885
#> Iteration: 100 bestvalit: 48.365208 bestmemit: -8.332889 0.020917 0.008584 0.007297 -2.509504 0.280977 0.294931 0.486269 0.955815 0.536841 0.864355 0.356754 0.453048 0.212373 0.750264 0.506052
#> Iteration: 125 bestvalit: 41.811911 bestmemit: -7.487196 0.020277 -0.119523 0.014500 -2.506255 0.133848 0.269891 0.497852 0.966404 0.408529 0.893576 0.108036 0.495214 0.043120 0.681694 0.097421
#> Iteration: 150 bestvalit: 39.438426 bestmemit: -9.909362 0.019733 0.224468 0.013255 -2.496932 0.152793 0.106118 0.471113 0.978791 0.371163 0.981208 0.127511 0.462188 0.040505 0.990550 0.492623
#> Iteration: 175 bestvalit: 37.825439 bestmemit: -9.085722 0.013951 0.014751 0.007102 -2.427370 0.133968 0.257660 0.384651 0.983033 0.246117 0.974339 0.086667 0.500723 0.054972 0.861467 0.656952
#> Iteration: 200 bestvalit: 37.091238 bestmemit: -6.958387 0.015263 0.011461 0.009206 -2.443430 0.120755 0.511718 0.428595 0.955204 0.475992 0.990589 0.285155 0.813541 0.063982 0.930193 0.793522
#> Iteration: 225 bestvalit: 36.886788 bestmemit: -5.482483 0.015881 0.007958 0.009352 -2.448026 0.132902 0.462210 0.433542 0.953684 0.561238 0.987145 0.445823 0.595791 0.075519 0.957428 0.339919
#> Iteration: 250 bestvalit: 36.298528 bestmemit: -5.378822 0.017038 0.010576 0.010335 -2.462812 0.113346 0.196789 0.460226 0.947764 0.482991 0.984543 0.937263 0.602190 0.036391 0.948365 0.523244
#> Iteration: 275 bestvalit: 36.156525 bestmemit: -5.007763 0.016989 0.011929 0.010004 -2.460159 0.118004 0.255476 0.463077 0.928905 0.617390 0.985238 0.987596 0.557861 0.009779 0.983928 0.440743
#> Iteration: 300 bestvalit: 36.030781 bestmemit: -6.335478 0.017792 0.012873 0.010449 -2.468074 0.109136 0.190162 0.467811 0.911006 0.842579 0.982421 0.996943 0.378879 0.028082 0.995386 0.659889
#> Iteration: 325 bestvalit: 35.991348 bestmemit: -6.010700 0.017998 0.012891 0.010739 -2.470694 0.106275 0.177018 0.451520 0.909890 0.825027 0.999801 0.998726 0.413116 0.026670 0.994302 0.678426
#> Iteration: 350 bestvalit: 35.978203 bestmemit: -6.091746 0.018051 0.013212 0.010846 -2.470677 0.105930 0.178132 0.443422 0.909218 0.846859 0.999175 0.999411 0.393370 0.020465 0.999364 0.090006
#> Iteration: 375 bestvalit: 35.975280 bestmemit: -6.507014 0.018068 0.013149 0.010848 -2.470781 0.104671 0.176848 0.442843 0.911427 0.852221 0.999770 0.999654 0.381977 0.020661 0.999934 0.208006
#> Iteration: 400 bestvalit: 35.973553 bestmemit: -8.096850 0.018127 0.013241 0.010836 -2.471497 0.104022 0.177547 0.445406 0.910379 0.850887 0.999969 0.999983 0.384995 0.022924 0.999961 0.574721
#> Iteration: 425 bestvalit: 35.973408 bestmemit: -8.097381 0.018122 0.013220 0.010844 -2.471458 0.104474 0.179024 0.445202 0.911353 0.848957 0.999925 0.999994 0.382298 0.023220 0.999991 0.267801
#> Iteration: 450 bestvalit: 35.973317 bestmemit: -8.717194 0.018122 0.013226 0.010849 -2.471459 0.104344 0.178077 0.444553 0.910975 0.849927 0.999992 0.999992 0.383792 0.022553 0.999987 0.572512
#> Iteration: 475 bestvalit: 35.973293 bestmemit: -8.938312 0.018118 0.013220 0.010843 -2.471373 0.104361 0.177909 0.444140 0.910995 0.850173 1.000000 0.999996 0.383622 0.022768 0.999999 0.535562
#> Iteration: 500 bestvalit: 35.973282 bestmemit: -9.197919 0.018114 0.013217 0.010838 -2.471342 0.104380 0.178273 0.444216 0.911006 0.849700 0.999999 1.000000 0.384153 0.022887 0.999998 0.851171
#> Iteration: 525 bestvalit: 35.973279 bestmemit: -8.900377 0.018117 0.013224 0.010841 -2.471373 0.104390 0.178220 0.444168 0.910938 0.850030 0.999999 1.000000 0.383557 0.022881 1.000000 0.720292
#> Iteration: 550 bestvalit: 35.973278 bestmemit: -8.653274 0.018118 0.013225 0.010844 -2.471394 0.104371 0.178298 0.444202 0.910916 0.850167 1.000000 1.000000 0.383519 0.022858 1.000000 0.680402
#> Iteration: 575 bestvalit: 35.973277 bestmemit: -8.615226 0.018119 0.013225 0.010843 -2.471398 0.104374 0.178274 0.444225 0.910914 0.850090 1.000000 1.000000 0.383539 0.022864 1.000000 0.726758
#> ... Finished Calibration.
#> Best solution: 35.9732770687833
#>
#> ... Doing Calibration Trial 15 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6571254903261
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 78.108973 bestmemit: -3.980220 -0.005829 -0.027889 0.305049 -2.280362 0.729331 0.332516 0.215593 0.963562 0.660857 0.817339 0.413948 0.318151 0.589417 0.565946 0.592940
#> Iteration: 50 bestvalit: 59.151128 bestmemit: -4.683501 0.019205 0.264450 0.133858 -2.493465 0.441505 0.596144 0.287017 0.962084 0.656050 0.681199 0.240133 0.267114 0.175721 0.701546 0.367031
#> Iteration: 75 bestvalit: 49.511347 bestmemit: -4.993624 0.010290 -0.306122 0.008667 -2.382873 0.159050 0.229208 0.506308 0.928043 0.544079 0.938829 0.515315 0.126727 0.104460 0.397940 0.730538
#> Iteration: 100 bestvalit: 41.313554 bestmemit: -5.724484 0.013481 0.001049 0.008129 -2.420071 0.156120 0.311478 0.508948 0.943798 0.728678 0.743586 0.565837 0.077126 0.398106 0.475803 0.767897
#> Iteration: 125 bestvalit: 39.690627 bestmemit: -7.575761 0.016426 0.013009 0.011454 -2.461726 0.165566 0.151154 0.607512 0.958462 0.574133 0.957283 0.644899 0.057009 0.064871 0.201796 0.990549
#> Iteration: 150 bestvalit: 38.051342 bestmemit: -9.833297 0.018066 0.006162 0.013012 -2.477587 0.108632 0.168406 0.511294 0.950069 0.593855 0.938787 0.598834 0.678686 0.019859 0.777478 0.956653
#> Iteration: 175 bestvalit: 36.908387 bestmemit: -3.705588 0.017594 0.014593 0.010851 -2.468408 0.119743 0.061533 0.448849 0.964368 0.775796 0.906198 0.451938 0.293085 0.040412 0.966634 0.663351
#> Iteration: 200 bestvalit: 36.665024 bestmemit: -5.806055 0.016437 0.014474 0.008993 -2.455491 0.122043 0.074554 0.403650 0.949224 0.676128 0.911764 0.302631 0.220795 0.079179 0.868423 0.609156
#> Iteration: 225 bestvalit: 35.928296 bestmemit: -4.809292 0.017100 0.015046 0.009373 -2.460128 0.128875 0.057839 0.372021 0.960347 0.828706 0.957305 0.422937 0.316266 0.077214 0.146180 0.885330
#> Iteration: 250 bestvalit: 34.968599 bestmemit: -3.603744 0.018317 0.016068 0.011352 -2.474506 0.140760 0.050435 0.416971 0.937244 0.814276 0.898251 0.694033 0.196210 0.027177 0.163679 0.944892
#> Iteration: 275 bestvalit: 33.066603 bestmemit: -8.524289 0.022157 0.018301 0.012575 -2.496289 0.065466 0.050312 0.389408 0.751550 0.898708 0.805935 0.691672 0.163682 0.029286 0.104545 0.930762
#> Iteration: 300 bestvalit: 32.237596 bestmemit: -5.812048 0.023859 0.019171 0.012831 -2.505934 0.052290 0.050775 0.423285 0.687527 0.866131 0.771156 0.991921 0.127891 0.023311 0.016807 0.946689
#> Iteration: 325 bestvalit: 31.755116 bestmemit: -7.404269 0.024070 0.019171 0.013291 -2.507551 0.050245 0.050309 0.376430 0.632644 0.875396 0.835157 0.998858 0.145714 0.038972 0.014396 0.993675
#> Iteration: 350 bestvalit: 31.693269 bestmemit: -7.249607 0.024275 0.019435 0.013488 -2.511010 0.050035 0.050032 0.376881 0.655425 0.874910 0.858575 0.996987 0.141866 0.039722 0.012708 0.998994
#> Iteration: 375 bestvalit: 31.666698 bestmemit: -7.071900 0.024055 0.019275 0.013286 -2.508483 0.050012 0.050032 0.379716 0.645425 0.877759 0.853121 0.999964 0.143085 0.032298 0.000376 0.997373
#> Iteration: 400 bestvalit: 31.660286 bestmemit: -7.078423 0.024108 0.019319 0.013292 -2.509156 0.050002 0.050002 0.374039 0.643031 0.878588 0.851419 0.998551 0.144850 0.033859 0.000197 0.999941
#> Iteration: 425 bestvalit: 31.657889 bestmemit: -8.029781 0.024124 0.019338 0.013326 -2.509402 0.050006 0.050003 0.375433 0.639953 0.879114 0.852549 0.999938 0.145668 0.034306 0.000168 0.999909
#> Iteration: 450 bestvalit: 31.657268 bestmemit: -8.974147 0.024167 0.019383 0.013384 -2.510122 0.050001 0.050001 0.375806 0.642988 0.878983 0.853815 0.999953 0.144167 0.035231 0.000112 0.999902
#> Iteration: 475 bestvalit: 31.656914 bestmemit: -8.299611 0.024145 0.019357 0.013364 -2.509739 0.050001 0.050000 0.375185 0.641171 0.879493 0.853216 0.999990 0.144293 0.034858 0.000073 0.999971
#> Iteration: 500 bestvalit: 31.656797 bestmemit: -8.208925 0.024147 0.019362 0.013361 -2.509775 0.050000 0.050000 0.375076 0.641718 0.879248 0.853496 0.999996 0.144246 0.034747 0.000012 0.999995
#> Iteration: 525 bestvalit: 31.656748 bestmemit: -8.599499 0.024148 0.019365 0.013366 -2.509812 0.050000 0.050000 0.375375 0.641477 0.879403 0.853532 0.999999 0.144176 0.034889 0.000005 0.999996
#> Iteration: 550 bestvalit: 31.656736 bestmemit: -8.503646 0.024150 0.019365 0.013369 -2.509835 0.050000 0.050000 0.375397 0.641492 0.879467 0.853544 1.000000 0.144251 0.034943 0.000001 0.999998
#> Iteration: 575 bestvalit: 31.656732 bestmemit: -8.827073 0.024149 0.019365 0.013368 -2.509830 0.050000 0.050000 0.375311 0.641410 0.879428 0.853401 1.000000 0.144302 0.034882 0.000000 0.999999
#> Iteration: 600 bestvalit: 31.656730 bestmemit: -8.701475 0.024149 0.019364 0.013367 -2.509817 0.050000 0.050000 0.375300 0.641517 0.879436 0.853419 1.000000 0.144275 0.034870 0.000000 1.000000
#> Iteration: 625 bestvalit: 31.656729 bestmemit: -8.465827 0.024149 0.019364 0.013367 -2.509819 0.050000 0.050000 0.375342 0.641540 0.879420 0.853391 1.000000 0.144246 0.034883 0.000000 1.000000
#> ... Finished Calibration.
#> Best solution: 31.6567293447818
#>
#> ... Doing Calibration Trial 16 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6567293447818
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 59.182103 bestmemit: -5.583719 0.018064 -0.062197 0.064392 -2.492726 0.231574 0.122977 0.622044 0.955493 0.882115 0.464433 0.467663 0.382970 0.283439 0.374693 0.489732
#> Iteration: 50 bestvalit: 47.839719 bestmemit: -4.647331 0.012673 0.016182 0.342956 -2.461878 0.493468 0.105506 0.459011 0.983313 0.937581 0.521298 0.813038 0.115142 0.591835 0.156450 0.497529
#> Iteration: 75 bestvalit: 38.289713 bestmemit: -3.852177 0.009371 0.015765 0.009120 -2.446387 0.520072 0.146177 0.505952 0.948819 0.991208 0.313171 0.482911 0.014341 0.661272 0.180095 0.432693
#> Iteration: 100 bestvalit: 37.327660 bestmemit: -3.719202 0.009135 0.015939 0.009633 -2.449458 0.420761 0.130540 0.401678 0.963550 0.954748 0.294530 0.740082 0.001608 0.592507 0.000522 0.635407
#> Iteration: 125 bestvalit: 36.895159 bestmemit: -5.658972 0.009723 0.016253 0.010185 -2.452852 0.422149 0.123961 0.427053 0.942203 0.954500 0.115980 0.961850 0.000834 0.588442 0.011851 0.751224
#> Iteration: 150 bestvalit: 36.559817 bestmemit: -9.566465 0.009520 0.016335 0.010243 -2.454622 0.412301 0.127413 0.422834 0.943505 0.953265 0.096298 0.986317 0.000303 0.473779 0.000338 0.993519
#> Iteration: 175 bestvalit: 36.517223 bestmemit: -6.702420 0.009082 0.016078 0.010615 -2.451276 0.397124 0.127085 0.413579 0.946597 0.947837 0.093611 0.981726 0.000567 0.392947 0.000324 0.997483
#> Iteration: 200 bestvalit: 36.439259 bestmemit: -8.374576 0.009242 0.015989 0.010423 -2.449650 0.392236 0.125152 0.416259 0.974766 0.947816 0.085706 0.750454 0.000026 0.290706 0.000878 0.998884
#> Iteration: 225 bestvalit: 36.393408 bestmemit: -6.423412 0.009504 0.016215 0.011169 -2.452190 0.406554 0.120104 0.442792 0.972844 0.934854 0.126517 0.701028 0.000065 0.231205 0.000125 0.986280
#> Iteration: 250 bestvalit: 36.376430 bestmemit: -6.955321 0.009532 0.016290 0.011316 -2.452887 0.409889 0.120248 0.444266 0.973412 0.931517 0.126218 0.518344 0.000234 0.210578 0.000043 0.999889
#> Iteration: 275 bestvalit: 36.368951 bestmemit: -9.448393 0.009563 0.016342 0.011466 -2.453432 0.411499 0.120324 0.435406 0.968094 0.929015 0.127239 0.249615 0.001026 0.199195 0.000023 0.999807
#> Iteration: 300 bestvalit: 36.304040 bestmemit: -7.511325 0.009671 0.016378 0.011698 -2.453787 0.417603 0.117784 0.388744 0.973307 0.925163 0.086109 0.990876 0.005207 0.132154 0.000176 0.998594
#> Iteration: 325 bestvalit: 36.294923 bestmemit: -9.584271 0.009612 0.016423 0.011588 -2.454257 0.418614 0.116878 0.383977 0.970014 0.923689 0.088441 0.998461 0.005867 0.140588 0.000187 0.999602
#> Iteration: 350 bestvalit: 36.284195 bestmemit: -6.123478 0.009715 0.016522 0.011607 -2.455350 0.414305 0.117299 0.361024 0.972538 0.924728 0.087167 0.991522 0.007004 0.137938 0.000400 0.999986
#> Iteration: 375 bestvalit: 36.277978 bestmemit: -6.235489 0.009837 0.016584 0.011590 -2.456171 0.415440 0.117504 0.337171 0.974472 0.926419 0.082775 0.993665 0.008590 0.116545 0.000145 0.999887
#> Iteration: 400 bestvalit: 36.272454 bestmemit: -8.228221 0.009794 0.016597 0.011123 -2.456314 0.416948 0.117811 0.323044 0.973057 0.933652 0.075067 0.999961 0.009849 0.124769 0.000126 0.999635
#> Iteration: 425 bestvalit: 36.268899 bestmemit: -8.063412 0.009675 0.016498 0.010995 -2.455066 0.419300 0.118288 0.319910 0.969500 0.937816 0.070726 0.999973 0.010196 0.129442 0.000001 0.999341
#> Iteration: 450 bestvalit: 36.268594 bestmemit: -8.345889 0.009667 0.016500 0.010892 -2.455083 0.420283 0.117956 0.316066 0.969167 0.938995 0.069001 0.999939 0.010651 0.125268 0.000001 0.999277
#> Iteration: 475 bestvalit: 36.268184 bestmemit: -7.631215 0.009655 0.016460 0.010838 -2.454589 0.420339 0.117844 0.311499 0.970246 0.939145 0.068381 0.999892 0.010879 0.119561 0.000003 0.999299
#> Iteration: 500 bestvalit: 36.267844 bestmemit: -7.419964 0.009658 0.016453 0.010845 -2.454434 0.419887 0.117932 0.312887 0.971060 0.938138 0.069617 0.998295 0.010662 0.120160 0.000005 0.999442
#> Iteration: 525 bestvalit: 36.267712 bestmemit: -8.385312 0.009663 0.016458 0.010960 -2.454451 0.420475 0.117867 0.315246 0.971850 0.936458 0.071346 0.997095 0.010507 0.117596 0.000001 0.999558
#> Iteration: 550 bestvalit: 36.267374 bestmemit: -7.945008 0.009667 0.016480 0.011095 -2.454689 0.420846 0.117554 0.316780 0.972698 0.934174 0.073641 0.992590 0.010387 0.112637 0.000033 0.999994
#> Iteration: 575 bestvalit: 36.267158 bestmemit: -8.348405 0.009666 0.016469 0.011057 -2.454526 0.421061 0.117907 0.315195 0.972891 0.934607 0.073205 0.992094 0.010419 0.113096 0.000027 0.999997
#> Iteration: 600 bestvalit: 36.266797 bestmemit: -8.490341 0.009646 0.016442 0.011062 -2.454237 0.421512 0.117885 0.318797 0.971811 0.934508 0.073805 0.991372 0.010133 0.118267 0.000039 0.999993
#> Iteration: 625 bestvalit: 36.266311 bestmemit: -9.470372 0.009644 0.016446 0.010863 -2.454335 0.421206 0.117986 0.311926 0.970382 0.938009 0.070083 0.989344 0.010635 0.119564 0.000256 0.999996
#> Iteration: 650 bestvalit: 36.263739 bestmemit: -7.567241 0.009650 0.016428 0.010803 -2.454232 0.420053 0.118271 0.316728 0.971126 0.937247 0.071486 0.980763 0.009596 0.122601 0.000389 0.999376
#> Iteration: 675 bestvalit: 36.227149 bestmemit: -8.178183 0.009584 0.016238 0.009473 -2.452084 0.421571 0.123429 0.226507 0.981731 0.947611 0.071823 0.813972 0.004855 0.208712 0.005411 0.987451
#> Iteration: 700 bestvalit: 36.125355 bestmemit: -6.343297 0.009617 0.016521 0.010628 -2.454452 0.437757 0.116103 0.212460 0.986345 0.930288 0.093806 0.665522 0.000029 0.195051 0.009893 0.976105
#> Iteration: 725 bestvalit: 36.119870 bestmemit: -9.581233 0.009665 0.016563 0.010601 -2.455288 0.443905 0.116673 0.210407 0.982710 0.929943 0.094779 0.655971 0.000001 0.197931 0.010148 0.975645
#> Iteration: 750 bestvalit: 36.119691 bestmemit: -8.766816 0.009703 0.016588 0.010617 -2.455594 0.443512 0.116760 0.211633 0.982657 0.930285 0.094453 0.657642 0.000000 0.199040 0.010134 0.975804
#> Iteration: 775 bestvalit: 36.119645 bestmemit: -7.579116 0.009699 0.016586 0.010621 -2.455569 0.443473 0.116748 0.212549 0.982635 0.930389 0.094386 0.658203 0.000000 0.199594 0.010097 0.975908
#> Iteration: 800 bestvalit: 36.117027 bestmemit: -9.942802 0.009689 0.016562 0.010789 -2.455337 0.440823 0.117104 0.219096 0.979527 0.927627 0.099110 0.636041 0.000002 0.194578 0.008232 0.981794
#> Iteration: 825 bestvalit: 36.115042 bestmemit: -7.233872 0.009687 0.016591 0.010829 -2.455518 0.440577 0.116146 0.221520 0.978446 0.925724 0.102315 0.613992 0.000000 0.192714 0.007765 0.984570
#> Iteration: 850 bestvalit: 36.114482 bestmemit: -7.699749 0.009702 0.016625 0.010829 -2.455896 0.442691 0.116137 0.218777 0.978275 0.925055 0.103465 0.601470 0.000000 0.191949 0.007845 0.984930
#> Iteration: 875 bestvalit: 36.110482 bestmemit: -6.847762 0.009686 0.016579 0.010486 -2.455540 0.444260 0.116908 0.215618 0.976322 0.932538 0.098610 0.563412 0.000000 0.210942 0.007444 0.989858
#> Iteration: 900 bestvalit: 36.109621 bestmemit: -8.894949 0.009665 0.016569 0.010390 -2.455489 0.444001 0.116898 0.212279 0.975969 0.934286 0.098405 0.544060 0.000000 0.220867 0.007419 0.992144
#> Iteration: 925 bestvalit: 36.108998 bestmemit: -7.168109 0.009634 0.016537 0.010383 -2.455146 0.446263 0.117437 0.211726 0.975845 0.934461 0.099124 0.528334 0.000000 0.223860 0.007455 0.995194
#> Iteration: 950 bestvalit: 36.106232 bestmemit: -8.353900 0.009642 0.016555 0.010507 -2.455188 0.446370 0.116643 0.212495 0.976007 0.931239 0.101971 0.509487 0.000002 0.209859 0.008349 0.999938
#> Iteration: 975 bestvalit: 36.105769 bestmemit: -8.589413 0.009667 0.016585 0.010469 -2.455645 0.443977 0.116559 0.211572 0.975604 0.932160 0.101400 0.507361 0.000002 0.212420 0.008169 0.999995
#> Iteration: 1000 bestvalit: 36.105625 bestmemit: -9.207458 0.009681 0.016593 0.010465 -2.455754 0.444953 0.116549 0.210390 0.975465 0.932388 0.101292 0.502672 0.000002 0.212041 0.008098 0.999984
#> Iteration: 1025 bestvalit: 36.104859 bestmemit: -7.408858 0.009686 0.016587 0.010411 -2.455730 0.444638 0.116864 0.211179 0.974381 0.934047 0.100934 0.489089 0.000000 0.216876 0.006003 0.999494
#> Iteration: 1050 bestvalit: 36.104062 bestmemit: -9.217740 0.009720 0.016625 0.010444 -2.456225 0.444705 0.116718 0.210856 0.974006 0.933535 0.101922 0.478097 0.000000 0.214758 0.005358 0.999998
#> Iteration: 1075 bestvalit: 36.103919 bestmemit: -9.508277 0.009726 0.016630 0.010434 -2.456253 0.445213 0.116592 0.212248 0.973928 0.933410 0.102202 0.476237 0.000000 0.214797 0.005112 0.999998
#> Iteration: 1100 bestvalit: 36.100542 bestmemit: -8.023270 0.009661 0.016605 0.010524 -2.455866 0.444019 0.116450 0.216469 0.971856 0.931111 0.106995 0.440879 0.000000 0.209074 0.000026 0.999999
#> Iteration: 1125 bestvalit: 36.100158 bestmemit: -8.179537 0.009661 0.016606 0.010519 -2.455845 0.446763 0.116275 0.212408 0.972015 0.931268 0.107212 0.427731 0.000000 0.209533 0.000009 1.000000
#> Iteration: 1150 bestvalit: 36.099984 bestmemit: -8.400425 0.009683 0.016618 0.010460 -2.456060 0.446627 0.116361 0.211068 0.972235 0.932515 0.106078 0.426310 0.000000 0.213628 0.000012 0.999998
#> Iteration: 1175 bestvalit: 36.099973 bestmemit: -8.941521 0.009680 0.016617 0.010459 -2.456044 0.446700 0.116331 0.210869 0.972243 0.932525 0.106097 0.425568 0.000000 0.213707 0.000000 0.999998
#> Iteration: 1200 bestvalit: 36.099960 bestmemit: -9.808997 0.009679 0.016616 0.010455 -2.456050 0.446377 0.116355 0.210822 0.972315 0.932614 0.106000 0.426555 0.000000 0.214369 0.000000 0.999998
#> Iteration: 1225 bestvalit: 36.099916 bestmemit: -9.071318 0.009673 0.016611 0.010435 -2.455975 0.446503 0.116397 0.210757 0.972482 0.932913 0.105617 0.427169 0.000000 0.215093 0.000000 1.000000
#> Iteration: 1250 bestvalit: 36.099914 bestmemit: -8.453238 0.009677 0.016613 0.010441 -2.456006 0.446549 0.116385 0.210808 0.972450 0.932846 0.105685 0.427087 0.000000 0.214805 0.000000 1.000000
#> Iteration: 1275 bestvalit: 36.099911 bestmemit: -8.929174 0.009677 0.016614 0.010442 -2.456007 0.446566 0.116404 0.211019 0.972462 0.932887 0.105618 0.427552 0.000000 0.214848 0.000000 1.000000
#> Iteration: 1300 bestvalit: 36.099857 bestmemit: -9.905657 0.009673 0.016610 0.010426 -2.455978 0.447089 0.116498 0.210649 0.972674 0.933203 0.105205 0.427860 0.000000 0.215567 0.000001 1.000000
#> Iteration: 1325 bestvalit: 36.099837 bestmemit: -8.316158 0.009677 0.016613 0.010436 -2.456005 0.446538 0.116401 0.210658 0.972628 0.932976 0.105444 0.428189 0.000000 0.215084 0.000001 1.000000
#> Iteration: 1350 bestvalit: 36.099835 bestmemit: -8.250793 0.009676 0.016613 0.010436 -2.456007 0.446420 0.116381 0.210657 0.972638 0.932983 0.105443 0.428359 0.000000 0.215156 0.000000 1.000000
#> Iteration: 1375 bestvalit: 36.099835 bestmemit: -8.020420 0.009676 0.016613 0.010436 -2.456007 0.446484 0.116388 0.210605 0.972637 0.932986 0.105444 0.428193 0.000000 0.215153 0.000000 1.000000
#> ... Finished Calibration.
#> Best solution: 36.0998345724679
#>
#> ... Doing Calibration Trial 17 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6567293447818
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 54.487274 bestmemit: -8.245074 0.019570 -0.049349 0.372323 -2.535689 0.297236 0.341844 0.135633 0.990704 0.803651 0.719736 0.546468 0.265438 0.119386 0.712923 0.666347
#> Iteration: 50 bestvalit: 52.815552 bestmemit: -7.175913 0.010367 0.455753 -0.005339 -2.398092 0.249203 0.273125 0.268833 0.967765 0.869169 0.554407 0.508572 0.314190 0.222352 0.523488 0.705335
#> Iteration: 75 bestvalit: 49.203871 bestmemit: -8.004113 0.014433 0.005334 0.225146 -2.450838 0.332146 0.353057 0.357229 0.960316 0.809172 0.651014 0.597690 0.351740 0.210774 0.834735 0.539973
#> Iteration: 100 bestvalit: 41.926658 bestmemit: -9.559614 0.013855 0.006459 -0.130958 -2.424696 0.091706 0.262473 0.304951 0.949332 0.890905 0.721775 0.959851 0.197588 0.477802 0.898385 0.666742
#> Iteration: 125 bestvalit: 39.600726 bestmemit: -7.154223 0.014321 0.006157 0.011872 -2.428669 0.125164 0.349765 0.288223 0.948289 0.843281 0.757372 0.628849 0.229440 0.628587 0.701578 0.649554
#> Iteration: 150 bestvalit: 37.508815 bestmemit: -7.919329 0.016493 0.008672 0.014335 -2.454623 0.127742 0.470473 0.091821 0.960618 0.944513 0.445659 0.321916 0.110630 0.460654 0.444442 0.517135
#> Iteration: 175 bestvalit: 37.058634 bestmemit: -6.817933 0.015876 0.009027 0.010114 -2.448575 0.134942 0.504388 0.390109 0.960835 0.948957 0.690137 0.590318 0.034148 0.349283 0.870319 0.354383
#> Iteration: 200 bestvalit: 36.199471 bestmemit: -8.929737 0.016611 0.009789 0.010850 -2.455125 0.115148 0.444921 0.187454 0.930641 0.988564 0.486137 0.007394 0.040464 0.591906 0.940934 0.749039
#> Iteration: 225 bestvalit: 36.068622 bestmemit: -9.722157 0.017643 0.010698 0.012646 -2.466662 0.106177 0.460093 0.197444 0.916004 0.991725 0.846638 0.029136 0.018482 0.438621 0.993334 0.322337
#> Iteration: 250 bestvalit: 35.995569 bestmemit: -5.548262 0.018190 0.010997 0.013268 -2.472345 0.105055 0.451900 0.183415 0.917395 0.991926 0.852870 0.005272 0.012798 0.373002 0.997815 0.081948
#> Iteration: 275 bestvalit: 35.980271 bestmemit: -7.251299 0.018220 0.010908 0.013342 -2.472663 0.103898 0.447952 0.183765 0.911323 0.991195 0.858933 0.000742 0.017806 0.376773 0.998347 0.933604
#> Iteration: 300 bestvalit: 35.974368 bestmemit: -9.117871 0.018110 0.010866 0.013205 -2.471410 0.104790 0.444054 0.178818 0.912062 0.999895 0.848221 0.000102 0.024053 0.378430 0.999649 0.281094
#> Iteration: 325 bestvalit: 35.973578 bestmemit: -8.955293 0.018106 0.010829 0.013220 -2.471219 0.104365 0.443149 0.179362 0.911479 0.999976 0.849465 0.000034 0.023239 0.380613 0.999894 0.243236
#> Iteration: 350 bestvalit: 35.973339 bestmemit: -9.400084 0.018126 0.010858 0.013234 -2.471507 0.104356 0.443556 0.178160 0.910753 0.999993 0.849566 0.000003 0.023009 0.384871 0.999990 0.240720
#> Iteration: 375 bestvalit: 35.973291 bestmemit: -9.280908 0.018117 0.010839 0.013220 -2.471376 0.104422 0.444287 0.178455 0.910997 0.999997 0.849860 0.000001 0.022985 0.384106 0.999994 0.285911
#> Iteration: 400 bestvalit: 35.973280 bestmemit: -9.635678 0.018121 0.010846 0.013225 -2.471424 0.104357 0.444295 0.178145 0.910959 0.999999 0.850046 0.000000 0.022822 0.383581 0.999999 0.524940
#> Iteration: 425 bestvalit: 35.973278 bestmemit: -9.228822 0.018119 0.010845 0.013225 -2.471407 0.104376 0.444309 0.178240 0.910894 1.000000 0.850035 0.000000 0.022878 0.383652 1.000000 0.751237
#> Iteration: 450 bestvalit: 35.973277 bestmemit: -9.726675 0.018118 0.010843 0.013225 -2.471391 0.104388 0.444229 0.178291 0.910919 1.000000 0.850036 0.000000 0.022880 0.383536 1.000000 0.009904
#> ... Finished Calibration.
#> Best solution: 35.9732770067588
#>
#> ... Doing Calibration Trial 18 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6567293447818
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 67.873554 bestmemit: -4.417835 0.306501 0.011158 0.495461 -2.429576 0.331794 0.239760 0.302014 0.753528 0.939977 0.555565 0.696179 0.078933 0.435244 0.729988 0.653265
#> Iteration: 50 bestvalit: 62.480043 bestmemit: -5.389228 0.081155 0.015473 0.409640 -2.473597 0.199521 0.484869 0.335071 0.715490 0.954795 0.462404 0.925013 0.069890 0.282362 0.532284 0.783077
#> Iteration: 75 bestvalit: 59.459531 bestmemit: -5.856187 0.402980 0.019178 0.358733 -2.540997 0.417605 0.494791 0.464666 0.735134 0.977516 0.550051 0.974595 0.005667 0.284628 0.630015 0.606815
#> Iteration: 100 bestvalit: 53.953465 bestmemit: -8.552051 0.284908 0.015307 0.237186 -2.460497 0.607469 0.354275 0.316922 0.632426 0.982337 0.555437 0.486026 0.000141 0.338978 0.597429 0.353905
#> Iteration: 125 bestvalit: 44.830084 bestmemit: -9.508776 0.009425 0.015583 -0.187319 -2.443232 0.649330 0.203286 0.665738 0.845272 0.971439 0.314598 0.489441 0.050035 0.002281 0.946120 0.592684
#> Iteration: 150 bestvalit: 41.123245 bestmemit: -6.013408 0.008495 0.016444 0.161213 -2.456542 0.431010 0.165564 0.710408 0.898177 0.972575 0.308147 0.572039 0.047317 0.414876 0.258812 0.750825
#> Iteration: 175 bestvalit: 38.382976 bestmemit: -2.939392 0.008383 0.016518 0.008203 -2.455454 0.451914 0.109995 0.407840 0.835139 0.977817 0.198188 0.920213 0.045895 0.496076 0.036620 0.604221
#> Iteration: 200 bestvalit: 37.787654 bestmemit: -3.970806 0.009504 0.016570 0.014109 -2.452876 0.482704 0.126806 0.364389 0.927088 0.977252 0.119581 0.740406 0.043378 0.430228 0.013409 0.588244
#> Iteration: 225 bestvalit: 37.119373 bestmemit: -4.545138 0.008911 0.015464 0.002429 -2.442423 0.444038 0.132188 0.120765 0.915736 0.992697 0.227188 0.815786 0.031221 0.428053 0.108256 0.952207
#> Iteration: 250 bestvalit: 36.548413 bestmemit: -3.938157 0.009443 0.016279 0.005812 -2.451191 0.401736 0.114658 0.092451 0.917969 0.983825 0.114298 0.616749 0.028077 0.059043 0.089529 0.966408
#> Iteration: 275 bestvalit: 36.146979 bestmemit: -4.099291 0.009623 0.016441 0.004979 -2.452673 0.408484 0.117347 0.056036 0.971128 0.980110 0.086802 0.776052 0.011869 0.035769 0.064444 0.955900
#> Iteration: 300 bestvalit: 35.704235 bestmemit: -5.112197 0.009571 0.016071 0.004642 -2.450148 0.395132 0.118576 0.051359 0.957836 0.984665 0.066284 0.013069 0.016331 0.081297 0.034228 0.976996
#> Iteration: 325 bestvalit: 35.525177 bestmemit: -4.837167 0.009754 0.016450 0.004619 -2.455710 0.419633 0.117946 0.050135 0.954723 0.981694 0.065450 0.027003 0.013999 0.015211 0.002085 0.979347
#> Iteration: 350 bestvalit: 35.470292 bestmemit: -4.825027 0.009370 0.016231 0.004582 -2.452717 0.430359 0.117547 0.050366 0.952726 0.980369 0.068146 0.006740 0.014864 0.007247 0.001060 0.997778
#> Iteration: 375 bestvalit: 35.462011 bestmemit: -5.676105 0.009491 0.016279 0.004616 -2.453621 0.427112 0.118881 0.050450 0.954129 0.979844 0.067453 0.009344 0.016050 0.003292 0.000517 0.999710
#> Iteration: 400 bestvalit: 35.450685 bestmemit: -5.160148 0.009519 0.016270 0.004713 -2.453485 0.431383 0.118463 0.050017 0.954117 0.981082 0.064952 0.003128 0.015133 0.000051 0.000168 0.998587
#> Iteration: 425 bestvalit: 35.447906 bestmemit: -5.497034 0.009498 0.016286 0.004678 -2.453610 0.427252 0.118474 0.050034 0.952245 0.981237 0.066510 0.000689 0.015394 0.000239 0.000674 0.999651
#> Iteration: 450 bestvalit: 35.445970 bestmemit: -5.637051 0.009451 0.016272 0.004673 -2.453358 0.427237 0.118364 0.050002 0.954871 0.981121 0.063821 0.000620 0.015643 0.000089 0.000717 0.999890
#> Iteration: 475 bestvalit: 35.443447 bestmemit: -6.802871 0.009471 0.016255 0.004642 -2.453268 0.428709 0.119147 0.050000 0.953200 0.980946 0.065605 0.000067 0.015618 0.000047 0.000021 0.999834
#> Iteration: 500 bestvalit: 35.443045 bestmemit: -7.101781 0.009443 0.016249 0.004645 -2.453153 0.427267 0.119352 0.050002 0.954575 0.980788 0.064340 0.000019 0.015691 0.000008 0.000041 0.999933
#> Iteration: 525 bestvalit: 35.442913 bestmemit: -7.651122 0.009444 0.016247 0.004652 -2.453178 0.429101 0.119545 0.050002 0.954640 0.980780 0.064282 0.000140 0.015547 0.000008 0.000003 0.999979
#> Iteration: 550 bestvalit: 35.442800 bestmemit: -8.073717 0.009444 0.016248 0.004638 -2.453150 0.428973 0.119231 0.050001 0.954681 0.980828 0.064207 0.000039 0.015524 0.000024 0.000003 0.999997
#> Iteration: 575 bestvalit: 35.442736 bestmemit: -8.617347 0.009445 0.016249 0.004642 -2.453157 0.429122 0.119356 0.050000 0.954563 0.980873 0.064269 0.000014 0.015534 0.000000 0.000003 0.999995
#> Iteration: 600 bestvalit: 35.442721 bestmemit: -8.331459 0.009447 0.016248 0.004643 -2.453150 0.429442 0.119342 0.050000 0.954512 0.980845 0.064347 0.000013 0.015530 0.000003 0.000004 0.999999
#> Iteration: 625 bestvalit: 35.442713 bestmemit: -8.227654 0.009446 0.016246 0.004641 -2.453119 0.429464 0.119347 0.050000 0.954545 0.980821 0.064336 0.000005 0.015524 0.000001 0.000001 0.999999
#> Iteration: 650 bestvalit: 35.442710 bestmemit: -8.208676 0.009446 0.016247 0.004641 -2.453127 0.429340 0.119329 0.050000 0.954596 0.980844 0.064263 0.000001 0.015528 0.000000 0.000001 1.000000
#> Iteration: 675 bestvalit: 35.442708 bestmemit: -8.124579 0.009447 0.016247 0.004641 -2.453128 0.429306 0.119335 0.050000 0.954601 0.980845 0.064257 0.000001 0.015539 0.000000 0.000000 1.000000
#> ... Finished Calibration.
#> Best solution: 35.4427078959244
#>
#> ... Doing Calibration Trial 19 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6567293447818
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 85.926127 bestmemit: -1.748627 0.152468 0.026186 -0.428662 -2.587793 0.522369 0.418463 0.242831 0.601409 0.769430 0.831626 0.694959 0.044703 0.507596 0.023007 0.886373
#> Iteration: 50 bestvalit: 47.107644 bestmemit: -9.507610 0.006480 0.015727 -0.352348 -2.457870 0.581700 0.211041 0.448653 0.531558 0.985799 0.611242 0.586615 0.040293 0.230672 0.153381 0.288411
#> Iteration: 75 bestvalit: 39.345273 bestmemit: -8.194468 0.011892 0.018929 0.018351 -2.483617 0.438847 0.112502 0.158809 0.644117 0.999674 0.724678 0.964340 0.140439 0.441515 0.244387 0.910421
#> Iteration: 100 bestvalit: 37.048871 bestmemit: -6.489822 0.007264 0.015519 0.009014 -2.443134 0.298300 0.116728 0.418725 0.533390 0.987887 0.945215 0.504110 0.026139 0.161729 0.048282 0.982186
#> Iteration: 125 bestvalit: 36.641092 bestmemit: -9.313031 0.009399 0.016339 0.009257 -2.452131 0.390408 0.119635 0.459004 0.544514 0.999955 0.997651 0.541957 0.042039 0.175039 0.003162 0.993022
#> Iteration: 150 bestvalit: 36.464772 bestmemit: -9.594052 0.011379 0.016792 0.009226 -2.457541 0.276432 0.116144 0.489014 0.584626 0.999610 0.999873 0.538172 0.048452 0.191238 0.008211 0.998157
#> Iteration: 175 bestvalit: 36.430576 bestmemit: -7.061431 0.011316 0.016682 0.008950 -2.456811 0.280980 0.117203 0.513880 0.559267 0.999957 0.999624 0.537373 0.047514 0.179448 0.000280 0.999816
#> Iteration: 200 bestvalit: 36.414965 bestmemit: -9.745101 0.011298 0.016798 0.008970 -2.457849 0.265385 0.115305 0.514826 0.555298 0.999994 0.999881 0.550496 0.053890 0.182374 0.000128 0.999929
#> Iteration: 225 bestvalit: 36.404684 bestmemit: -8.681725 0.011585 0.017014 0.009126 -2.460218 0.256816 0.112992 0.524857 0.540667 0.999975 0.999991 0.585001 0.058447 0.195712 0.000151 0.999354
#> Iteration: 250 bestvalit: 36.400885 bestmemit: -8.271225 0.011420 0.016929 0.009110 -2.459368 0.255355 0.112542 0.527146 0.530059 0.999946 0.999983 0.592157 0.058474 0.193018 0.000526 0.999993
#> Iteration: 275 bestvalit: 36.396678 bestmemit: -8.349862 0.011655 0.017117 0.009255 -2.461277 0.247812 0.111225 0.525539 0.534254 0.999938 0.999992 0.604144 0.063480 0.196770 0.002520 0.999981
#> Iteration: 300 bestvalit: 36.339822 bestmemit: -7.487867 0.012167 0.017552 0.009621 -2.465239 0.205613 0.103531 0.518326 0.512057 0.999981 0.999999 0.688710 0.086389 0.160595 0.045034 0.999942
#> Iteration: 325 bestvalit: 36.282517 bestmemit: -7.042825 0.012468 0.018067 0.010419 -2.472092 0.194164 0.104798 0.519564 0.498750 1.000000 0.999999 0.730122 0.093993 0.134542 0.078213 0.999973
#> Iteration: 350 bestvalit: 36.266371 bestmemit: -7.694017 0.012427 0.018210 0.010513 -2.473819 0.195290 0.103667 0.534780 0.488317 1.000000 0.999999 0.720310 0.086514 0.132148 0.076341 0.999949
#> Iteration: 375 bestvalit: 36.261267 bestmemit: -9.344556 0.012541 0.018314 0.010595 -2.475336 0.193306 0.101976 0.532954 0.496995 1.000000 1.000000 0.713462 0.085692 0.132415 0.074922 0.999999
#> Iteration: 400 bestvalit: 36.241582 bestmemit: -6.053467 0.012892 0.018533 0.010817 -2.477564 0.186365 0.100236 0.538636 0.502748 1.000000 0.999998 0.709588 0.085793 0.121680 0.079308 0.999919
#> Iteration: 425 bestvalit: 36.049525 bestmemit: -8.547628 0.013649 0.018577 0.010944 -2.477161 0.178122 0.103061 0.453999 0.526492 0.999999 0.999964 0.796775 0.088344 0.044425 0.140738 0.998847
#> Iteration: 450 bestvalit: 36.035344 bestmemit: -6.770232 0.013586 0.018305 0.010905 -2.473453 0.185173 0.103930 0.445977 0.523136 0.999999 0.999960 0.811859 0.094640 0.033459 0.148973 0.998788
#> Iteration: 475 bestvalit: 36.035144 bestmemit: -8.563417 0.013582 0.018303 0.010892 -2.473383 0.185233 0.103993 0.445985 0.523901 0.999999 0.999959 0.809091 0.094122 0.034178 0.147237 0.998834
#> Iteration: 500 bestvalit: 36.033995 bestmemit: -7.267632 0.013516 0.018279 0.010889 -2.473224 0.185118 0.104142 0.445680 0.518153 1.000000 0.999950 0.805295 0.092238 0.034057 0.139143 0.999465
#> Iteration: 525 bestvalit: 36.032618 bestmemit: -9.209880 0.013500 0.018308 0.010888 -2.473599 0.185616 0.104430 0.444577 0.512676 1.000000 0.999945 0.807417 0.092959 0.034285 0.132248 0.999995
#> Iteration: 550 bestvalit: 36.032312 bestmemit: -9.750988 0.013510 0.018281 0.010878 -2.473274 0.186348 0.104192 0.445121 0.512350 1.000000 0.999945 0.808030 0.093269 0.034296 0.132224 0.999998
#> Iteration: 575 bestvalit: 36.032234 bestmemit: -8.747308 0.013509 0.018273 0.010869 -2.473210 0.186930 0.104217 0.444428 0.513478 1.000000 0.999945 0.807211 0.093460 0.035276 0.131317 1.000000
#> Iteration: 600 bestvalit: 36.032076 bestmemit: -9.100674 0.013495 0.018261 0.010844 -2.473105 0.187386 0.104261 0.444956 0.513338 1.000000 0.999944 0.805108 0.093216 0.035932 0.129061 0.999997
#> Iteration: 625 bestvalit: 36.025414 bestmemit: -8.193806 0.013316 0.018112 0.010797 -2.471389 0.181667 0.104876 0.444657 0.482160 1.000000 0.999851 0.796332 0.091169 0.037715 0.058463 0.999849
#> Iteration: 650 bestvalit: 36.013015 bestmemit: -6.111807 0.012959 0.018074 0.010732 -2.471639 0.187351 0.105727 0.444043 0.456633 1.000000 0.999784 0.785155 0.086024 0.046547 0.000564 0.999723
#> Iteration: 675 bestvalit: 36.011034 bestmemit: -7.579392 0.012843 0.018000 0.010677 -2.470615 0.191112 0.106024 0.443358 0.453133 1.000000 0.999778 0.785076 0.086144 0.042237 0.000379 0.999640
#> Iteration: 700 bestvalit: 36.009108 bestmemit: -7.536359 0.012975 0.018044 0.010728 -2.471285 0.191958 0.105873 0.442235 0.453756 1.000000 0.999768 0.789715 0.086996 0.037785 0.000063 0.999532
#> Iteration: 725 bestvalit: 36.008901 bestmemit: -9.321187 0.012989 0.018031 0.010703 -2.471090 0.193778 0.105992 0.442436 0.453686 1.000000 0.999768 0.791259 0.087766 0.038372 0.000007 0.999514
#> Iteration: 750 bestvalit: 36.008644 bestmemit: -9.303711 0.012968 0.018023 0.010701 -2.471111 0.194063 0.106305 0.442962 0.453678 1.000000 0.999759 0.790502 0.087070 0.037561 0.000028 0.999394
#> Iteration: 775 bestvalit: 36.008272 bestmemit: -8.857787 0.013049 0.018042 0.010711 -2.471216 0.193933 0.106044 0.442861 0.455630 1.000000 0.999752 0.792943 0.088160 0.037687 0.000094 0.999309
#> Iteration: 800 bestvalit: 36.007462 bestmemit: -9.195951 0.013053 0.018068 0.010706 -2.471434 0.194492 0.105501 0.443023 0.459051 1.000000 0.999731 0.791518 0.087877 0.037057 0.000001 0.999044
#> Iteration: 825 bestvalit: 35.998012 bestmemit: -8.779700 0.013178 0.018114 0.010779 -2.471953 0.200927 0.106675 0.449820 0.492954 1.000000 0.999432 0.794255 0.088101 0.040146 0.000002 0.995417
#> Iteration: 850 bestvalit: 35.987694 bestmemit: -8.003463 0.013322 0.018284 0.010883 -2.473658 0.189246 0.104148 0.451535 0.530004 1.000000 0.999081 0.802101 0.088151 0.035398 0.000006 0.991314
#> Iteration: 875 bestvalit: 35.987658 bestmemit: -8.384998 0.013343 0.018291 0.010893 -2.473715 0.188857 0.104102 0.451394 0.530010 1.000000 0.999083 0.802357 0.088324 0.034877 0.000008 0.991345
#> Iteration: 900 bestvalit: 35.987655 bestmemit: -8.026010 0.013344 0.018288 0.010890 -2.473680 0.188838 0.104104 0.451374 0.530129 1.000000 0.999081 0.802502 0.088359 0.034765 0.000001 0.991323
#> ... Finished Calibration.
#> Best solution: 35.9876541568508
#> Warning: Best solution was > reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.3State.gamma.boxcox.AR0.a0std
#> Reference model name for maximum acceptable calib. solution: model.2State.gamma.boxcox.AR3.a0std
#> Reference model maximum acceptable calib. solution: 26.7126190954289
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 90.748487 bestmemit: -4.149362 0.361373 -0.425087 0.019392 -2.539345 0.715127 0.137865 0.402950 0.680002 0.761699 0.709751 0.122219 0.044715 0.106347 0.387849 0.802269
#> Iteration: 50 bestvalit: 62.258492 bestmemit: -8.559948 0.007622 0.349920 0.020198 -2.353120 0.397888 0.116741 0.713390 0.981009 0.467642 0.790850 0.155860 0.410253 0.298207 0.325402 0.765920
#> Iteration: 75 bestvalit: 53.125547 bestmemit: -7.519100 0.019810 0.013388 -0.355264 -2.518586 0.268068 0.512180 0.560061 0.986865 0.625530 0.567023 0.293408 0.412794 0.442297 0.288904 0.648504
#> Iteration: 100 bestvalit: 43.212883 bestmemit: -7.953443 0.016618 0.489672 0.011726 -2.450629 0.159783 0.694169 0.710161 0.968056 0.257812 0.872006 0.022301 0.469065 0.177024 0.505886 0.413922
#> Iteration: 125 bestvalit: 40.623845 bestmemit: -5.162030 0.012752 -0.446362 0.006608 -2.408587 0.128389 0.451388 0.546611 0.971899 0.379917 0.888212 0.119006 0.346144 0.057414 0.848472 0.698084
#> Iteration: 150 bestvalit: 38.069365 bestmemit: -4.126345 0.016764 -0.203343 0.009698 -2.462835 0.100576 0.307758 0.508176 0.946049 0.187608 0.990810 0.005516 0.247108 0.155576 0.806815 0.738553
#> Iteration: 175 bestvalit: 37.024121 bestmemit: -4.785246 0.015358 0.012669 0.007985 -2.440758 0.113988 0.397495 0.367660 0.964090 0.183433 0.954060 0.126787 0.221829 0.112359 0.819184 0.686632
#> Iteration: 200 bestvalit: 36.597545 bestmemit: -4.925719 0.016965 0.005293 0.009343 -2.462762 0.118687 0.093926 0.528360 0.968034 0.617840 0.977127 0.735622 0.916042 0.042684 0.885826 0.606232
#> Iteration: 225 bestvalit: 35.815784 bestmemit: -4.235004 0.016427 0.005563 0.009310 -2.455356 0.113866 0.056971 0.477108 0.961454 0.585033 0.984349 0.653150 0.892377 0.047263 0.969750 0.439667
#> Iteration: 250 bestvalit: 35.510580 bestmemit: -4.576400 0.016503 0.005246 0.009872 -2.456811 0.117441 0.050436 0.466653 0.962138 0.586376 0.970669 0.614237 0.908192 0.018378 0.980093 0.758019
#> Iteration: 275 bestvalit: 35.318918 bestmemit: -5.348950 0.015843 0.004317 0.009103 -2.448014 0.119688 0.050463 0.442995 0.967948 0.761021 0.946572 0.524133 0.905457 0.001185 0.991046 0.515874
#> Iteration: 300 bestvalit: 35.272162 bestmemit: -6.251890 0.015969 0.004408 0.009086 -2.449543 0.116537 0.050028 0.444865 0.964233 0.967674 0.947246 0.537829 0.923646 0.000151 0.997885 0.374598
#> Iteration: 325 bestvalit: 35.261630 bestmemit: -6.406010 0.015998 0.004440 0.009093 -2.449755 0.118531 0.050146 0.424990 0.965201 0.974725 0.951879 0.547873 0.931065 0.000211 0.999419 0.715350
#> Iteration: 350 bestvalit: 35.256581 bestmemit: -6.802373 0.015976 0.004453 0.009081 -2.449695 0.117944 0.050035 0.429157 0.964232 0.999406 0.950761 0.545436 0.931209 0.000019 0.999384 0.348844
#> Iteration: 375 bestvalit: 35.255064 bestmemit: -6.806582 0.016015 0.004498 0.009106 -2.450207 0.118089 0.050009 0.429544 0.965145 0.999878 0.950914 0.550570 0.931698 0.000006 0.999978 0.366230
#> Iteration: 400 bestvalit: 35.254563 bestmemit: -7.210083 0.015965 0.004450 0.009073 -2.449608 0.118117 0.050002 0.429040 0.965007 0.999577 0.951197 0.554456 0.931749 0.000002 0.999955 0.282407
#> Iteration: 425 bestvalit: 35.254346 bestmemit: -7.419452 0.015948 0.004413 0.009048 -2.449403 0.118187 0.050002 0.430393 0.965174 0.999806 0.951584 0.554260 0.932263 0.000010 0.999999 0.631680
#> Iteration: 450 bestvalit: 35.254230 bestmemit: -7.147874 0.015948 0.004406 0.009050 -2.449385 0.118089 0.050000 0.431487 0.965187 0.999893 0.951252 0.552099 0.932024 0.000003 0.999997 0.965142
#> Iteration: 475 bestvalit: 35.254193 bestmemit: -7.860359 0.015951 0.004407 0.009055 -2.449418 0.118057 0.050000 0.431031 0.965091 0.999952 0.951219 0.551513 0.931960 0.000001 0.999999 0.283292
#> Iteration: 500 bestvalit: 35.254170 bestmemit: -8.148248 0.015956 0.004417 0.009062 -2.449468 0.118073 0.050000 0.431369 0.965069 0.999972 0.951389 0.552399 0.932091 0.000000 0.999999 0.014854
#> Iteration: 525 bestvalit: 35.254165 bestmemit: -8.273539 0.015955 0.004416 0.009059 -2.449462 0.118089 0.050000 0.431128 0.965089 0.999996 0.951380 0.552274 0.932098 0.000000 1.000000 0.543928
#> Iteration: 550 bestvalit: 35.254164 bestmemit: -8.162698 0.015956 0.004417 0.009060 -2.449471 0.118082 0.050000 0.431175 0.965100 0.999999 0.951371 0.552378 0.932093 0.000000 1.000000 0.717243
#> Iteration: 575 bestvalit: 35.254163 bestmemit: -8.162902 0.015955 0.004416 0.009060 -2.449469 0.118094 0.050000 0.431157 0.965106 0.999999 0.951373 0.552402 0.932097 0.000000 1.000000 0.483293
#> ... Finished Calibration.
#> Best solution: 35.2541629641388
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 35.2541629641388
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 80.176324 bestmemit: -6.836758 0.006855 -0.422609 0.314846 -2.345425 0.230668 0.082387 0.397881 0.894786 0.977619 0.156567 0.976633 0.130167 0.713068 0.452727 0.544147
#> Iteration: 50 bestvalit: 71.269254 bestmemit: -3.686786 0.009681 0.008229 -0.379011 -2.354564 0.459387 0.175589 0.253800 0.828214 0.839356 0.924546 0.863817 0.515040 0.220462 0.536397 0.076144
#> Iteration: 75 bestvalit: 66.774219 bestmemit: -4.349081 0.006543 0.323004 -0.067514 -2.367192 0.509331 0.346728 0.383197 0.879664 0.719914 0.986586 0.195100 0.634964 0.123171 0.836145 0.665791
#> Iteration: 100 bestvalit: 53.903588 bestmemit: -7.754534 0.028262 0.221094 0.020328 -2.645565 0.249539 0.130236 0.620134 0.920090 0.611883 0.806360 0.184332 0.627821 0.234868 0.442433 0.958910
#> Iteration: 125 bestvalit: 44.214796 bestmemit: -8.810250 0.015679 0.020607 0.004652 -2.449260 0.121128 0.197673 0.309583 0.881964 0.959630 0.765948 0.678946 0.600641 0.189308 0.329810 0.901556
#> Iteration: 150 bestvalit: 42.912808 bestmemit: -5.152935 0.013792 0.009757 0.002290 -2.427241 0.156023 0.467472 0.396835 0.916592 0.904297 0.828076 0.873111 0.537294 0.281962 0.321198 0.123788
#> Iteration: 175 bestvalit: 40.179060 bestmemit: -8.618101 0.015407 0.009163 0.008131 -2.445599 0.117949 0.215260 0.314376 0.883498 0.960395 0.775801 0.672360 0.610280 0.188266 0.332190 0.856376
#> Iteration: 200 bestvalit: 38.483025 bestmemit: -7.540867 0.014794 0.015635 0.007701 -2.430555 0.108518 0.314135 0.503552 0.904659 0.944164 0.928334 0.425320 0.713965 0.128209 0.380511 0.507432
#> Iteration: 225 bestvalit: 36.787486 bestmemit: -9.027507 0.014587 0.009584 0.006996 -2.431490 0.114690 0.275200 0.422473 0.951560 0.843193 0.989170 0.449575 0.663956 0.078049 0.960042 0.579562
#> Iteration: 250 bestvalit: 36.273512 bestmemit: -5.564487 0.015929 0.008920 0.008433 -2.448112 0.111391 0.259137 0.483873 0.923576 0.592214 0.934380 0.942939 0.709959 0.019082 0.986624 0.278103
#> Iteration: 275 bestvalit: 35.982900 bestmemit: -7.492305 0.016428 0.010013 0.009150 -2.453135 0.113028 0.223298 0.469072 0.930352 0.505288 0.968330 0.983616 0.637372 0.038756 0.979369 0.612798
#> Iteration: 300 bestvalit: 35.893418 bestmemit: -6.751135 0.016521 0.010047 0.009226 -2.454983 0.113349 0.194796 0.443139 0.936013 0.401236 0.996558 0.996595 0.616002 0.035316 0.995077 0.575968
#> Iteration: 325 bestvalit: 35.858167 bestmemit: -5.064877 0.017062 0.011723 0.009964 -2.459962 0.107526 0.184920 0.451619 0.923390 0.754955 0.999241 0.998479 0.468161 0.037329 0.997245 0.381495
#> Iteration: 350 bestvalit: 35.783535 bestmemit: -8.341895 0.018209 0.013010 0.010662 -2.472757 0.100560 0.191240 0.455399 0.913827 0.835776 0.996150 0.999433 0.368755 0.040745 0.999524 0.603679
#> Iteration: 375 bestvalit: 35.777282 bestmemit: -6.915598 0.018321 0.012959 0.010825 -2.474505 0.100025 0.181848 0.452148 0.916464 0.829433 0.997379 0.999946 0.383718 0.037995 0.998761 0.671630
#> Iteration: 400 bestvalit: 35.775236 bestmemit: -5.903588 0.018445 0.013078 0.010885 -2.475975 0.099034 0.186714 0.459297 0.915009 0.836020 0.980099 0.999927 0.378288 0.031893 0.999901 0.677587
#> Iteration: 425 bestvalit: 35.741508 bestmemit: -5.714366 0.018741 0.013279 0.010850 -2.480073 0.098579 0.200801 0.476126 0.916443 0.851835 0.927594 0.999837 0.351415 0.000332 0.999419 0.765151
#> Iteration: 450 bestvalit: 35.739460 bestmemit: -6.172761 0.018718 0.013295 0.010824 -2.479715 0.098898 0.199332 0.474043 0.917186 0.846499 0.924259 0.999769 0.351460 0.000071 0.999519 0.846467
#> Iteration: 475 bestvalit: 35.738394 bestmemit: -6.650705 0.018785 0.013350 0.010891 -2.480654 0.098582 0.199225 0.473192 0.917473 0.847069 0.923401 0.999987 0.349197 0.000010 0.999983 0.498725
#> Iteration: 500 bestvalit: 35.738206 bestmemit: -7.645918 0.018759 0.013328 0.010876 -2.480281 0.098748 0.200250 0.473610 0.917952 0.847962 0.923652 0.999999 0.350346 0.000005 0.999983 0.694337
#> Iteration: 525 bestvalit: 35.738166 bestmemit: -7.419308 0.018765 0.013340 0.010887 -2.480376 0.098708 0.199794 0.473403 0.917641 0.847388 0.923535 1.000000 0.350808 0.000004 0.999999 0.357544
#> Iteration: 550 bestvalit: 35.738139 bestmemit: -8.057683 0.018763 0.013334 0.010882 -2.480341 0.098647 0.199663 0.473699 0.917691 0.847927 0.923658 0.999998 0.350538 0.000001 1.000000 0.185633
#> Iteration: 575 bestvalit: 35.738132 bestmemit: -8.131817 0.018761 0.013331 0.010880 -2.480314 0.098660 0.199827 0.473344 0.917681 0.847897 0.923523 1.000000 0.350344 0.000001 1.000000 0.708199
#> Iteration: 600 bestvalit: 35.738129 bestmemit: -8.328172 0.018762 0.013332 0.010880 -2.480326 0.098648 0.199772 0.473301 0.917644 0.847994 0.923447 1.000000 0.350370 0.000000 1.000000 0.568307
#> Iteration: 625 bestvalit: 35.738129 bestmemit: -8.188319 0.018762 0.013333 0.010882 -2.480329 0.098641 0.199762 0.473345 0.917633 0.848029 0.923453 1.000000 0.350358 0.000000 1.000000 0.763134
#> ... Finished Calibration.
#> Best solution: 35.7381288228888
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 35.2541629641388
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 70.049237 bestmemit: -8.247618 0.019562 -0.025031 0.007322 -2.379271 0.401709 0.453476 0.625132 0.826562 0.604405 0.979766 0.966436 0.312599 0.108424 0.161172 0.112974
#> Iteration: 50 bestvalit: 59.353669 bestmemit: -6.095430 0.012950 -0.247509 0.143501 -2.425943 0.366451 0.351462 0.533613 0.951143 0.743072 0.705568 0.274400 0.223881 0.489857 0.125206 0.561995
#> Iteration: 75 bestvalit: 56.196152 bestmemit: -2.708592 0.016244 -0.085267 0.120924 -2.475351 0.427812 0.429945 0.427632 0.983027 0.678702 0.892041 0.702956 0.302612 0.526127 0.598271 0.406794
#> Iteration: 100 bestvalit: 51.154625 bestmemit: -3.509655 0.010822 0.137108 0.001736 -2.412125 0.250907 0.279781 0.288931 0.966784 0.629118 0.937854 0.346679 0.342557 0.615245 0.449759 0.803609
#> Iteration: 125 bestvalit: 42.143442 bestmemit: -2.282059 0.014862 -0.155407 0.007120 -2.420368 0.115685 0.729912 0.492057 0.874723 0.334337 0.991536 0.288319 0.330465 0.186794 0.862792 0.907365
#> Iteration: 150 bestvalit: 39.960804 bestmemit: -4.469462 0.016405 -0.111344 0.007664 -2.450202 0.131680 0.562584 0.500418 0.874831 0.168698 0.996416 0.105424 0.263357 0.199932 0.805603 0.236626
#> Iteration: 175 bestvalit: 37.178376 bestmemit: -4.287813 0.016503 0.015566 0.009898 -2.451323 0.125977 0.066836 0.388029 0.935129 0.850663 0.967250 0.121256 0.112427 0.148850 0.743700 0.584981
#> Iteration: 200 bestvalit: 37.178376 bestmemit: -4.287813 0.016503 0.015566 0.009898 -2.451323 0.125977 0.066836 0.388029 0.935129 0.850663 0.967250 0.121256 0.112427 0.148850 0.743700 0.584981
#> Iteration: 225 bestvalit: 36.834872 bestmemit: -5.378491 0.015673 0.373625 0.008707 -2.446476 0.117974 0.633007 0.406285 0.955517 0.652173 0.998925 0.004692 0.027000 0.107745 0.987819 0.933694
#> Iteration: 250 bestvalit: 36.775859 bestmemit: -5.857199 0.016246 0.125666 0.009248 -2.451952 0.117516 0.254712 0.415862 0.960446 0.390558 0.999747 0.004820 0.378503 0.116842 0.999698 0.761714
#> Iteration: 275 bestvalit: 36.349652 bestmemit: -4.951169 0.016342 0.009430 0.009313 -2.453193 0.122035 0.164316 0.417330 0.952483 0.398414 0.997306 0.584958 0.704998 0.087926 0.975222 0.541942
#> Iteration: 300 bestvalit: 36.066588 bestmemit: -5.293464 0.016228 0.008777 0.009108 -2.450799 0.116574 0.194416 0.452001 0.954937 0.493667 0.996768 0.962884 0.528433 0.065980 0.971777 0.928291
#> Iteration: 325 bestvalit: 35.741798 bestmemit: -5.477546 0.016238 0.005278 0.009132 -2.452159 0.122728 0.050678 0.427788 0.963248 0.184320 0.993065 0.651407 0.782683 0.047223 0.957434 0.397293
#> Iteration: 350 bestvalit: 35.407262 bestmemit: -8.235820 0.015836 0.004757 0.008859 -2.447889 0.119953 0.050078 0.424633 0.965848 0.999279 0.970577 0.533570 0.952387 0.003518 0.952645 0.373770
#> Iteration: 375 bestvalit: 35.295444 bestmemit: -6.211303 0.015876 0.004340 0.009009 -2.448072 0.116564 0.050633 0.439436 0.967247 0.932776 0.956793 0.574699 0.929560 0.001018 0.999957 0.623767
#> Iteration: 400 bestvalit: 35.265671 bestmemit: -8.153643 0.015876 0.004257 0.008937 -2.448414 0.117874 0.050121 0.422868 0.965688 0.954417 0.951584 0.539435 0.929728 0.000161 0.998126 0.267482
#> Iteration: 425 bestvalit: 35.257654 bestmemit: -8.491091 0.015949 0.004443 0.009066 -2.449445 0.118105 0.050067 0.430001 0.964783 0.997556 0.951954 0.539200 0.932721 0.000191 0.999813 0.380328
#> Iteration: 450 bestvalit: 35.255316 bestmemit: -7.466273 0.015956 0.004406 0.009047 -2.449470 0.117874 0.050005 0.428962 0.965058 0.997736 0.950647 0.549697 0.931081 0.000025 0.999805 0.432421
#> Iteration: 475 bestvalit: 35.254492 bestmemit: -7.570889 0.015964 0.004430 0.009063 -2.449564 0.118168 0.050003 0.430211 0.965138 0.999981 0.951624 0.552792 0.932341 0.000022 0.999897 0.318821
#> Iteration: 500 bestvalit: 35.254275 bestmemit: -7.870888 0.015955 0.004417 0.009054 -2.449447 0.118056 0.050000 0.431459 0.965319 0.999459 0.951604 0.552422 0.932404 0.000000 0.999990 0.355006
#> Iteration: 525 bestvalit: 35.254211 bestmemit: -7.936797 0.015953 0.004415 0.009058 -2.449440 0.118082 0.050000 0.430727 0.965226 0.999914 0.951593 0.552450 0.932376 0.000001 0.999987 0.666621
#> Iteration: 550 bestvalit: 35.254180 bestmemit: -7.918220 0.015957 0.004413 0.009063 -2.449479 0.118122 0.050000 0.431558 0.965101 0.999989 0.951346 0.552328 0.932070 0.000000 0.999998 0.553789
#> Iteration: 575 bestvalit: 35.254169 bestmemit: -8.478364 0.015954 0.004415 0.009059 -2.449448 0.118061 0.050000 0.431220 0.965078 0.999972 0.951334 0.552190 0.932048 0.000000 1.000000 0.274686
#> Iteration: 600 bestvalit: 35.254165 bestmemit: -8.114116 0.015956 0.004417 0.009061 -2.449472 0.118085 0.050000 0.431164 0.965096 0.999988 0.951373 0.552296 0.932095 0.000000 1.000000 0.485817
#> Iteration: 625 bestvalit: 35.254164 bestmemit: -8.089469 0.015955 0.004416 0.009061 -2.449467 0.118093 0.050000 0.431131 0.965108 0.999998 0.951365 0.552359 0.932092 0.000000 1.000000 0.507406
#> Iteration: 650 bestvalit: 35.254163 bestmemit: -8.152676 0.015956 0.004416 0.009060 -2.449469 0.118092 0.050000 0.431118 0.965109 1.000000 0.951363 0.552262 0.932094 0.000000 1.000000 0.490248
#> ... Finished Calibration.
#> Best solution: 35.2541630433568
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 35.2541629641388
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 96.594868 bestmemit: -2.720517 0.341664 0.326704 0.009652 -2.372686 0.535727 0.329732 0.581417 0.909630 0.675153 0.643104 0.530677 0.058432 0.060774 0.652421 0.165101
#> Iteration: 50 bestvalit: 72.827744 bestmemit: -2.953282 0.008638 0.138288 0.044635 -2.429349 0.544568 0.451822 0.249456 0.967510 0.461306 0.833355 0.330478 0.448513 0.014551 0.772374 0.861031
#> Iteration: 75 bestvalit: 56.483574 bestmemit: -3.657012 0.019539 0.017806 0.012718 -2.483894 0.480244 0.411262 0.238727 0.961803 0.746838 0.644068 0.454879 0.339317 0.243301 0.895872 0.317812
#> Iteration: 100 bestvalit: 49.732894 bestmemit: -5.196175 0.011168 0.262749 0.004681 -2.408484 0.313039 0.355356 0.316565 0.965547 0.709241 0.841524 0.170240 0.473632 0.317956 0.810236 0.312961
#> Iteration: 125 bestvalit: 44.223824 bestmemit: -4.066776 0.019741 0.011718 0.008651 -2.508095 0.245241 0.365978 0.145237 0.929854 0.572282 0.835188 0.015822 0.198216 0.410745 0.996494 0.706855
#> Iteration: 150 bestvalit: 38.340738 bestmemit: -5.503962 0.017675 0.313614 0.009791 -2.468758 0.107173 0.404604 0.490352 0.925139 0.382093 0.986650 0.107181 0.250081 0.186371 0.861135 0.948518
#> Iteration: 175 bestvalit: 36.967191 bestmemit: -5.394145 0.014798 0.011176 0.007408 -2.431168 0.124671 0.202036 0.403068 0.934610 0.468670 0.985888 0.868883 0.467431 0.108026 0.875544 0.679596
#> Iteration: 200 bestvalit: 36.711663 bestmemit: -5.962517 0.015761 0.008470 0.008451 -2.444973 0.115792 0.245902 0.390208 0.936290 0.341215 0.977874 0.574325 0.592575 0.093429 0.759032 0.665024
#> Iteration: 225 bestvalit: 36.303847 bestmemit: -5.107607 0.016120 0.008277 0.008339 -2.448939 0.114980 0.180203 0.443164 0.948261 0.400867 0.989353 0.978656 0.511780 0.096222 0.874203 0.527249
#> Iteration: 250 bestvalit: 35.981431 bestmemit: -7.106731 0.016105 0.009624 0.008911 -2.449203 0.116346 0.221068 0.449603 0.931833 0.270855 0.996882 0.942424 0.708029 0.052339 0.968596 0.967506
#> Iteration: 275 bestvalit: 35.920150 bestmemit: -7.099714 0.016295 0.010071 0.009104 -2.452047 0.117088 0.234675 0.445964 0.938087 0.264749 0.995623 0.982256 0.670219 0.043080 0.987747 0.868642
#> Iteration: 300 bestvalit: 35.874042 bestmemit: -8.043551 0.016387 0.009822 0.009243 -2.453355 0.115244 0.196031 0.441606 0.935823 0.245675 0.999802 0.994932 0.681145 0.037645 0.998601 0.741388
#> Iteration: 325 bestvalit: 35.867362 bestmemit: -9.329034 0.016512 0.009987 0.009406 -2.454961 0.112859 0.198516 0.441291 0.933474 0.223037 0.999863 0.998994 0.698303 0.039718 0.999992 0.232708
#> Iteration: 350 bestvalit: 35.865044 bestmemit: -7.275314 0.016390 0.009898 0.009272 -2.453396 0.113864 0.195993 0.444449 0.933893 0.218942 0.999874 0.999325 0.695049 0.038567 0.999859 0.258753
#> Iteration: 375 bestvalit: 35.864011 bestmemit: -7.212396 0.016430 0.009847 0.009302 -2.453801 0.113820 0.191809 0.445724 0.934818 0.215871 0.999943 0.999784 0.697138 0.038396 0.999781 0.441951
#> Iteration: 400 bestvalit: 35.863600 bestmemit: -7.300882 0.016419 0.009819 0.009288 -2.453764 0.113885 0.191575 0.446835 0.935745 0.212276 0.999965 0.999967 0.697044 0.038852 0.999915 0.439459
#> Iteration: 425 bestvalit: 35.863445 bestmemit: -7.804191 0.016419 0.009840 0.009290 -2.453724 0.113839 0.192243 0.447698 0.935461 0.212308 1.000000 0.999989 0.694877 0.039112 0.999993 0.329866
#> Iteration: 450 bestvalit: 35.863391 bestmemit: -8.223706 0.016416 0.009834 0.009284 -2.453680 0.113794 0.192923 0.446213 0.935543 0.211309 0.999998 0.999992 0.694926 0.039245 0.999994 0.237644
#> Iteration: 475 bestvalit: 35.863357 bestmemit: -9.288914 0.016413 0.009817 0.009284 -2.453653 0.113905 0.192562 0.446920 0.935502 0.211465 0.999998 0.999999 0.694920 0.039266 0.999998 0.444439
#> Iteration: 500 bestvalit: 35.863351 bestmemit: -9.565222 0.016414 0.009812 0.009286 -2.453668 0.113901 0.192120 0.446952 0.935643 0.210681 0.999999 0.999999 0.694523 0.039310 0.999999 0.285270
#> Iteration: 525 bestvalit: 35.863348 bestmemit: -9.478088 0.016415 0.009812 0.009287 -2.453682 0.113891 0.192046 0.446883 0.935564 0.211049 1.000000 1.000000 0.694679 0.039250 0.999999 0.619327
#> Iteration: 550 bestvalit: 35.863348 bestmemit: -8.742840 0.016414 0.009810 0.009286 -2.453678 0.113888 0.192016 0.446854 0.935594 0.210872 1.000000 1.000000 0.694570 0.039232 1.000000 0.879060
#> ... Finished Calibration.
#> Best solution: 35.8633471290709
#>
#> ... Doing Calibration Trial 5 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 35.2541629641388
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 84.453434 bestmemit: -2.422481 0.037512 0.171888 -0.203699 -3.006673 0.623722 0.410704 0.228631 0.937866 0.451606 0.958341 0.476796 0.382402 0.468550 0.610346 0.359926
#> Iteration: 50 bestvalit: 72.376423 bestmemit: -4.011712 -0.228906 0.026411 -0.149091 -2.641934 0.593775 0.431884 0.372659 0.411763 0.891285 0.750658 0.795360 0.008639 0.104309 0.566101 0.310805
#> Iteration: 75 bestvalit: 72.376423 bestmemit: -4.011712 -0.228906 0.026411 -0.149091 -2.641934 0.593775 0.431884 0.372659 0.411763 0.891285 0.750658 0.795360 0.008639 0.104309 0.566101 0.310805
#> Iteration: 100 bestvalit: 63.057986 bestmemit: -4.727133 0.010212 -0.411296 0.498421 -2.398622 0.548553 0.590831 0.228631 0.917621 0.803097 0.771810 0.021205 0.401891 0.285912 0.469276 0.448476
#> Iteration: 125 bestvalit: 59.358695 bestmemit: -3.684901 0.003694 -0.267757 0.384619 -2.330195 0.428537 0.298344 0.509832 0.992567 0.686535 0.963673 0.075743 0.503745 0.440468 0.486812 0.367600
#> Iteration: 150 bestvalit: 55.455505 bestmemit: -5.419321 0.013219 0.232984 0.263920 -2.445682 0.346678 0.340375 0.502824 0.984299 0.360246 0.841469 0.478831 0.438310 0.359500 0.359074 0.828007
#> Iteration: 175 bestvalit: 44.703214 bestmemit: -5.243181 0.013998 0.009595 -0.144054 -2.441789 0.165537 0.462921 0.481105 0.977832 0.938127 0.887227 0.413866 0.173381 0.114385 0.524435 0.398730
#> Iteration: 200 bestvalit: 42.134719 bestmemit: -5.664853 0.015546 0.176100 0.007363 -2.439888 0.082197 0.279553 0.389001 0.973388 0.862084 0.944674 0.396164 0.029109 0.224118 0.932830 0.165017
#> Iteration: 225 bestvalit: 39.160791 bestmemit: -6.134190 0.017071 0.012532 0.011323 -2.470849 0.122654 0.492799 0.391472 0.952864 0.885921 0.827199 0.503627 0.221022 0.245604 0.893728 0.323780
#> Iteration: 250 bestvalit: 39.160791 bestmemit: -6.134190 0.017071 0.012532 0.011323 -2.470849 0.122654 0.492799 0.391472 0.952864 0.885921 0.827199 0.503627 0.221022 0.245604 0.893728 0.323780
#> Iteration: 275 bestvalit: 37.389410 bestmemit: -5.951254 0.014115 0.011237 0.007394 -2.425874 0.120855 0.674244 0.452875 0.944617 0.439064 0.942363 0.603348 0.354401 0.042177 0.879947 0.848128
#> Iteration: 300 bestvalit: 36.954732 bestmemit: -5.345157 0.015313 0.013771 0.008031 -2.441282 0.110878 0.159678 0.412562 0.957000 0.243783 0.978859 0.435931 0.115054 0.100499 0.834829 0.282522
#> Iteration: 325 bestvalit: 36.233415 bestmemit: -4.692708 0.015259 0.004757 0.008415 -2.442681 0.120582 0.082816 0.541113 0.964753 0.477182 0.904347 0.842745 0.667237 0.003217 0.994532 0.779442
#> Iteration: 350 bestvalit: 35.547701 bestmemit: -5.772693 0.016158 0.005225 0.009350 -2.452950 0.117079 0.055270 0.452908 0.959551 0.480881 0.962034 0.628128 0.849336 0.007862 0.962989 0.292938
#> Iteration: 375 bestvalit: 35.394576 bestmemit: -5.250638 0.015991 0.004441 0.009096 -2.450243 0.115368 0.050815 0.427253 0.961453 0.573435 0.951752 0.643362 0.871533 0.002959 0.971825 0.139855
#> Iteration: 400 bestvalit: 35.323788 bestmemit: -7.259150 0.015775 0.004334 0.008911 -2.447769 0.118454 0.051331 0.443917 0.966738 0.647185 0.955008 0.593890 0.898181 0.000130 0.998901 0.391795
#> Iteration: 425 bestvalit: 35.285582 bestmemit: -8.664603 0.015917 0.004517 0.008897 -2.448857 0.117839 0.050225 0.432589 0.965108 0.802608 0.950198 0.544104 0.914041 0.001140 0.999455 0.457568
#> Iteration: 450 bestvalit: 35.265869 bestmemit: -7.782113 0.015970 0.004528 0.009016 -2.449692 0.118337 0.050036 0.437908 0.963926 0.946383 0.947876 0.568300 0.922866 0.000041 0.999709 0.747970
#> Iteration: 475 bestvalit: 35.258708 bestmemit: -6.417878 0.015969 0.004425 0.009103 -2.449602 0.118041 0.050013 0.430407 0.964843 0.962243 0.948634 0.552361 0.926036 0.000008 0.999976 0.860584
#> Iteration: 500 bestvalit: 35.255562 bestmemit: -6.577807 0.015976 0.004442 0.009104 -2.449785 0.118457 0.050011 0.432989 0.965036 0.999494 0.950683 0.553542 0.931007 0.000006 0.999910 0.113204
#> Iteration: 525 bestvalit: 35.254579 bestmemit: -7.723635 0.015965 0.004445 0.009077 -2.449615 0.117749 0.050003 0.431606 0.964943 0.999970 0.951249 0.554280 0.931795 0.000018 0.999971 0.543074
#> Iteration: 550 bestvalit: 35.254313 bestmemit: -8.384039 0.015959 0.004413 0.009072 -2.449533 0.118014 0.050001 0.430180 0.965154 0.999945 0.951679 0.553564 0.932380 0.000005 0.999989 0.093512
#> Iteration: 575 bestvalit: 35.254224 bestmemit: -8.978266 0.015954 0.004411 0.009060 -2.449437 0.118127 0.050000 0.431380 0.965228 0.999782 0.951220 0.550682 0.932056 0.000000 0.999987 0.945558
#> Iteration: 600 bestvalit: 35.254186 bestmemit: -8.990263 0.015955 0.004414 0.009063 -2.449466 0.118056 0.050000 0.431048 0.965174 0.999936 0.951502 0.552495 0.932254 0.000000 1.000000 0.138350
#> Iteration: 625 bestvalit: 35.254173 bestmemit: -8.548039 0.015955 0.004414 0.009062 -2.449466 0.118041 0.050000 0.431203 0.965116 0.999984 0.951315 0.552295 0.932047 0.000000 0.999999 0.890161
#> Iteration: 650 bestvalit: 35.254167 bestmemit: -8.461395 0.015955 0.004416 0.009061 -2.449462 0.118108 0.050000 0.431112 0.965114 0.999988 0.951336 0.552106 0.932074 0.000000 1.000000 0.624875
#> Iteration: 675 bestvalit: 35.254164 bestmemit: -9.198761 0.015955 0.004416 0.009060 -2.449469 0.118076 0.050000 0.431123 0.965108 0.999997 0.951352 0.552295 0.932081 0.000000 1.000000 0.151043
#> Iteration: 700 bestvalit: 35.254163 bestmemit: -9.185159 0.015956 0.004417 0.009061 -2.449475 0.118085 0.050000 0.431166 0.965103 0.999998 0.951361 0.552319 0.932087 0.000000 1.000000 0.446412
#> Iteration: 725 bestvalit: 35.254163 bestmemit: -8.737346 0.015955 0.004415 0.009060 -2.449461 0.118092 0.050000 0.431187 0.965107 0.999999 0.951379 0.552319 0.932107 0.000000 1.000000 0.341726
#> ... Finished Calibration.
#> Best solution: 35.2541629097941
#>
#> ... Doing Calibration Trial 6 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 35.2541629097941
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 92.086070 bestmemit: -2.496842 -0.442057 0.271613 0.019452 -2.565706 0.207380 0.341413 0.343407 0.575843 0.710429 0.832681 0.477004 0.379145 0.134322 0.616716 0.087655
#> Iteration: 50 bestvalit: 73.163627 bestmemit: -6.710490 0.160011 0.071297 0.018827 -2.494936 0.525179 0.629761 0.441108 0.360513 0.737413 0.888468 0.520342 0.030569 0.096808 0.510450 0.329745
#> Iteration: 75 bestvalit: 60.765989 bestmemit: -5.627910 0.215738 0.018899 0.011781 -2.460492 0.614037 0.174970 0.427142 0.480851 0.866655 0.861807 0.356276 0.238221 0.135349 0.464317 0.053518
#> Iteration: 100 bestvalit: 51.420805 bestmemit: -6.963475 -0.337869 0.002619 0.017109 -2.464563 0.472645 0.377590 0.364565 0.150820 0.808522 0.969601 0.752306 0.023441 0.000536 0.083786 0.436695
#> Iteration: 125 bestvalit: 43.969315 bestmemit: -8.691834 0.001410 0.011371 0.018064 -2.490891 0.365063 0.615421 0.144560 0.171868 0.927085 0.993613 0.227340 0.129237 0.019820 0.520651 0.314133
#> Iteration: 150 bestvalit: 40.542849 bestmemit: -5.303541 0.013045 0.010918 0.018473 -2.489647 0.403620 0.565663 0.147924 0.359473 0.951506 0.945195 0.573188 0.143441 0.048300 0.273657 0.124261
#> Iteration: 175 bestvalit: 37.301799 bestmemit: -4.855017 0.014355 0.011825 0.018963 -2.485754 0.292320 0.522110 0.103973 0.428800 0.996643 0.969707 0.365927 0.125212 0.081409 0.249624 0.100816
#> Iteration: 200 bestvalit: 36.167650 bestmemit: -8.816449 0.015107 0.009199 0.017199 -2.457551 0.080639 0.450697 0.132563 0.528292 0.991728 0.965913 0.318379 0.149790 0.054145 0.391011 0.512075
#> Iteration: 225 bestvalit: 34.061471 bestmemit: -4.341030 0.016528 0.011107 0.019763 -2.479912 0.053198 0.431914 0.085919 0.690890 0.924761 0.941850 0.368223 0.133770 0.085904 0.933286 0.518307
#> Iteration: 250 bestvalit: 32.342092 bestmemit: -4.106409 0.019384 0.012849 0.024117 -2.507809 0.050415 0.365129 0.052175 0.735985 0.979757 0.985017 0.381329 0.139694 0.471464 0.834091 0.950139
#> Iteration: 275 bestvalit: 31.857219 bestmemit: -4.892884 0.018915 0.012741 0.023593 -2.502792 0.050246 0.359919 0.050332 0.777435 0.957152 0.995606 0.401886 0.140587 0.403177 0.976479 0.208195
#> Iteration: 300 bestvalit: 31.664975 bestmemit: -5.352996 0.019525 0.013190 0.024303 -2.511633 0.050026 0.358270 0.050253 0.757312 0.961479 0.998664 0.411610 0.149473 0.362987 0.997235 0.787882
#> Iteration: 325 bestvalit: 31.630489 bestmemit: -5.362916 0.019454 0.013282 0.024253 -2.510448 0.050007 0.383442 0.050093 0.760670 0.960477 0.999595 0.427654 0.149368 0.360138 0.999737 0.616911
#> Iteration: 350 bestvalit: 31.624910 bestmemit: -6.019621 0.019422 0.013275 0.024234 -2.510372 0.050004 0.380065 0.050000 0.753040 0.963214 0.999809 0.426903 0.156504 0.363845 0.999366 0.431099
#> Iteration: 375 bestvalit: 31.621837 bestmemit: -6.650406 0.019469 0.013292 0.024274 -2.510801 0.050007 0.380045 0.050003 0.755119 0.960924 0.999956 0.430545 0.155355 0.361159 0.999894 0.542844
#> Iteration: 400 bestvalit: 31.621028 bestmemit: -6.512658 0.019460 0.013274 0.024269 -2.510646 0.050001 0.379149 0.050001 0.755741 0.960741 0.999985 0.430603 0.155381 0.359473 0.999901 0.715640
#> Iteration: 425 bestvalit: 31.620760 bestmemit: -6.799147 0.019465 0.013272 0.024278 -2.510741 0.050000 0.378963 0.050000 0.755788 0.960862 0.999992 0.430303 0.155952 0.359770 0.999995 0.754830
#> Iteration: 450 bestvalit: 31.620650 bestmemit: -7.819976 0.019470 0.013280 0.024285 -2.510847 0.050000 0.378426 0.050000 0.755665 0.960682 0.999996 0.429984 0.155427 0.359355 0.999999 0.784171
#> Iteration: 475 bestvalit: 31.620625 bestmemit: -8.077571 0.019472 0.013283 0.024285 -2.510856 0.050000 0.378465 0.050000 0.755530 0.960812 1.000000 0.429880 0.155482 0.359265 0.999997 0.768226
#> Iteration: 500 bestvalit: 31.620619 bestmemit: -8.244146 0.019472 0.013282 0.024285 -2.510861 0.050000 0.378656 0.050000 0.755614 0.960795 1.000000 0.429808 0.155474 0.359221 0.999999 0.760952
#> Iteration: 525 bestvalit: 31.620617 bestmemit: -8.190070 0.019472 0.013282 0.024286 -2.510867 0.050000 0.378548 0.050000 0.755629 0.960834 1.000000 0.429700 0.155507 0.359333 1.000000 0.751131
#> Iteration: 550 bestvalit: 31.620617 bestmemit: -8.498397 0.019471 0.013281 0.024285 -2.510859 0.050000 0.378563 0.050000 0.755543 0.960789 1.000000 0.429624 0.155534 0.359322 1.000000 0.737317
#> ... Finished Calibration.
#> Best solution: 31.6206166312737
#>
#> ... Doing Calibration Trial 7 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6206166312737
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 71.759745 bestmemit: -4.855230 0.008816 0.321786 -0.153883 -2.394649 0.381425 0.384775 0.065297 0.786068 0.556537 0.850257 0.824833 0.193017 0.338654 0.931879 0.532733
#> Iteration: 50 bestvalit: 43.638189 bestmemit: -5.567742 0.021882 0.014594 0.013117 -2.538381 0.187611 0.451588 0.423104 0.929469 0.973592 0.511352 0.838286 0.365416 0.472339 0.507346 0.652234
#> Iteration: 75 bestvalit: 37.393637 bestmemit: -4.314725 0.017716 0.009727 0.011033 -2.466673 0.101222 0.513053 0.185608 0.904381 0.962613 0.579445 0.007006 0.201160 0.567524 0.780493 0.686248
#> Iteration: 100 bestvalit: 36.126859 bestmemit: -4.022578 0.017849 0.010606 0.011741 -2.470622 0.102813 0.507715 0.220472 0.916374 0.997031 0.622404 0.004735 0.074227 0.561907 0.991757 0.788740
#> Iteration: 125 bestvalit: 35.902828 bestmemit: -4.289505 0.017397 0.010135 0.011861 -2.464455 0.106930 0.450539 0.194004 0.914226 0.999493 0.667738 0.000126 0.044962 0.575178 0.999150 0.868727
#> Iteration: 150 bestvalit: 35.881342 bestmemit: -5.206910 0.017123 0.009817 0.011664 -2.461022 0.109755 0.445459 0.209194 0.916306 0.999923 0.681286 0.001151 0.042324 0.567028 0.996498 0.156095
#> Iteration: 175 bestvalit: 35.874331 bestmemit: -5.598846 0.017037 0.009807 0.011584 -2.459987 0.109870 0.453095 0.202627 0.917019 0.999961 0.674987 0.000260 0.037816 0.562976 0.994362 0.002101
#> Iteration: 200 bestvalit: 35.872554 bestmemit: -6.288652 0.017065 0.009876 0.011578 -2.460341 0.109334 0.453096 0.200329 0.917895 0.999999 0.673609 0.000001 0.037996 0.558621 0.991900 0.000007
#> Iteration: 225 bestvalit: 35.871933 bestmemit: -7.659016 0.017085 0.009852 0.011600 -2.460604 0.109303 0.452494 0.200521 0.918063 1.000000 0.674250 0.000002 0.038693 0.551176 0.987214 0.002516
#> Iteration: 250 bestvalit: 35.871105 bestmemit: -8.264195 0.017060 0.009824 0.011527 -2.460374 0.108952 0.450650 0.198023 0.919394 0.999997 0.673201 0.000000 0.039477 0.546181 0.984418 0.005557
#> Iteration: 275 bestvalit: 35.862810 bestmemit: -5.731629 0.017079 0.009791 0.011438 -2.460581 0.108948 0.450182 0.201902 0.923712 0.999901 0.659963 0.000000 0.042870 0.515185 0.995209 0.079498
#> Iteration: 300 bestvalit: 35.862362 bestmemit: -5.598435 0.017053 0.009779 0.011386 -2.460270 0.109077 0.448636 0.198341 0.924074 0.999903 0.658649 0.000000 0.042759 0.517857 0.995171 0.068397
#> Iteration: 325 bestvalit: 35.861539 bestmemit: -5.683995 0.017121 0.009831 0.011458 -2.461050 0.108263 0.448917 0.195600 0.923942 0.999901 0.659386 0.000005 0.043431 0.516754 0.995517 0.017928
#> Iteration: 350 bestvalit: 35.857626 bestmemit: -5.342106 0.017162 0.009811 0.011552 -2.461626 0.107740 0.443152 0.194549 0.922645 0.999857 0.674387 0.000015 0.046002 0.504074 0.999385 0.736852
#> Iteration: 375 bestvalit: 35.837816 bestmemit: -8.898011 0.017750 0.010296 0.012071 -2.468773 0.102687 0.456800 0.163114 0.920411 0.999888 0.742391 0.000082 0.043464 0.468682 0.999839 0.096808
#> Iteration: 400 bestvalit: 35.778304 bestmemit: -6.278029 0.018308 0.010775 0.012985 -2.474175 0.100082 0.450481 0.181292 0.915311 0.999986 0.826807 0.000110 0.039827 0.379244 0.999353 0.251816
#> Iteration: 425 bestvalit: 35.776796 bestmemit: -6.753684 0.018277 0.010791 0.012907 -2.474013 0.100235 0.450693 0.180309 0.917142 0.999980 0.826027 0.000114 0.041012 0.383253 0.999139 0.003360
#> Iteration: 450 bestvalit: 35.776661 bestmemit: -6.977035 0.018302 0.010809 0.012914 -2.474314 0.100073 0.452135 0.180604 0.916958 0.999981 0.825862 0.000114 0.041331 0.382654 0.999144 0.001910
#> Iteration: 475 bestvalit: 35.776387 bestmemit: -7.012716 0.018292 0.010804 0.012889 -2.474148 0.100341 0.450781 0.180110 0.917174 0.999890 0.825185 0.000132 0.041485 0.383859 0.999987 0.690137
#> Iteration: 500 bestvalit: 35.776206 bestmemit: -7.754378 0.018298 0.010808 0.012918 -2.474265 0.100141 0.452211 0.180748 0.917092 0.999879 0.826395 0.000136 0.041417 0.382165 0.999998 0.544941
#> Iteration: 525 bestvalit: 35.776186 bestmemit: -8.022806 0.018299 0.010805 0.012911 -2.474278 0.100080 0.452141 0.180740 0.917077 0.999875 0.826171 0.000137 0.041645 0.382452 1.000000 0.132300
#> Iteration: 550 bestvalit: 35.776186 bestmemit: -8.003105 0.018298 0.010804 0.012912 -2.474271 0.100075 0.452053 0.180750 0.917031 0.999877 0.826085 0.000137 0.041659 0.382599 1.000000 0.281819
#> ... Finished Calibration.
#> Best solution: 35.7761851665637
#>
#> ... Doing Calibration Trial 8 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6206166312737
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 60.704462 bestmemit: -3.370394 0.005875 -0.341176 -0.009999 -2.341099 0.367170 0.360233 0.344066 0.969946 0.993623 0.138726 0.480362 0.156899 0.461525 0.286271 0.687578
#> Iteration: 50 bestvalit: 54.703468 bestmemit: -3.168199 0.012536 -0.259153 0.209003 -2.431424 0.362645 0.364785 0.225603 0.992946 0.995124 0.059395 0.317145 0.254405 0.518863 0.371022 0.731482
#> Iteration: 75 bestvalit: 41.147640 bestmemit: -4.294565 0.016213 -0.219906 0.005934 -2.457908 0.132179 0.531960 0.186466 0.929371 0.754356 0.990821 0.085392 0.300072 0.538061 0.657308 0.745459
#> Iteration: 100 bestvalit: 37.065068 bestmemit: -3.880226 0.015945 0.010953 0.008982 -2.449509 0.118345 0.531636 0.400729 0.956645 0.299972 0.983077 0.328432 0.375807 0.102288 0.710911 0.062152
#> Iteration: 125 bestvalit: 36.706999 bestmemit: -3.803862 0.015927 0.011258 0.008783 -2.448548 0.120162 0.551181 0.432810 0.947812 0.446127 0.999658 0.977445 0.422418 0.072358 0.754365 0.866727
#> Iteration: 150 bestvalit: 36.442193 bestmemit: -3.581049 0.016215 0.011846 0.009129 -2.450935 0.114782 0.553264 0.428740 0.925589 0.269046 0.981886 0.992247 0.651198 0.041580 0.910915 0.868012
#> Iteration: 175 bestvalit: 36.415029 bestmemit: -3.607737 0.016218 0.011876 0.009190 -2.451137 0.114652 0.560953 0.437814 0.919439 0.339342 0.977992 0.998874 0.698892 0.027203 0.944018 0.985126
#> Iteration: 200 bestvalit: 36.413843 bestmemit: -3.607926 0.016201 0.011884 0.009184 -2.450876 0.114388 0.559823 0.438875 0.920774 0.325382 0.978432 0.999923 0.692082 0.028311 0.938143 0.999806
#> Iteration: 225 bestvalit: 36.400654 bestmemit: -3.506072 0.016135 0.012022 0.009118 -2.449872 0.114459 0.537035 0.435350 0.917319 0.336344 0.990985 0.964189 0.733984 0.036866 0.922114 0.927452
#> Iteration: 250 bestvalit: 36.374546 bestmemit: -3.708983 0.016248 0.012131 0.009314 -2.451694 0.112893 0.523955 0.441046 0.914369 0.328771 0.999720 0.963703 0.748090 0.036823 0.861597 0.986082
#> Iteration: 275 bestvalit: 36.366894 bestmemit: -3.721050 0.016264 0.012063 0.009190 -2.451770 0.114011 0.510992 0.439165 0.915420 0.316909 0.999944 0.997687 0.733207 0.038449 0.827744 0.999360
#> Iteration: 300 bestvalit: 36.366063 bestmemit: -3.723271 0.016272 0.012123 0.009203 -2.451789 0.114060 0.510400 0.441169 0.915844 0.311572 0.999996 0.999979 0.729835 0.038509 0.825488 0.999976
#> Iteration: 325 bestvalit: 36.365903 bestmemit: -3.719266 0.016263 0.012097 0.009201 -2.451700 0.113895 0.511107 0.441493 0.916019 0.309585 0.999999 0.999968 0.728731 0.039110 0.827360 0.999893
#> Iteration: 350 bestvalit: 36.365416 bestmemit: -3.691827 0.016238 0.012041 0.009165 -2.451386 0.113761 0.511993 0.440042 0.916969 0.299784 0.999996 0.999917 0.723035 0.039436 0.833769 0.999885
#> Iteration: 375 bestvalit: 36.365296 bestmemit: -3.700957 0.016251 0.012041 0.009183 -2.451562 0.113676 0.512487 0.439867 0.917138 0.296923 0.999997 0.999991 0.720880 0.039312 0.833308 0.999183
#> Iteration: 400 bestvalit: 36.364061 bestmemit: -3.689161 0.016290 0.012048 0.009235 -2.452000 0.113360 0.505522 0.442060 0.917897 0.294294 0.999991 0.999985 0.719130 0.038945 0.823988 0.983292
#> Iteration: 425 bestvalit: 36.353965 bestmemit: -3.717369 0.016235 0.011943 0.009146 -2.451274 0.113307 0.447041 0.439791 0.916799 0.323469 0.999964 0.999954 0.723222 0.038765 0.739222 0.821449
#> Iteration: 450 bestvalit: 36.327435 bestmemit: -3.624808 0.016485 0.011845 0.009306 -2.454425 0.112810 0.434098 0.440597 0.911891 0.357222 0.999994 0.994104 0.712030 0.045786 0.813887 0.656741
#> Iteration: 475 bestvalit: 36.146324 bestmemit: -3.810130 0.016817 0.012020 0.009579 -2.457661 0.109261 0.240085 0.430005 0.893659 0.535258 0.999862 0.974189 0.666384 0.046221 0.807847 0.999676
#> Iteration: 500 bestvalit: 36.099838 bestmemit: -3.824612 0.016899 0.012472 0.009659 -2.457743 0.107702 0.256517 0.437152 0.881684 0.630631 0.999728 0.961547 0.670183 0.039124 0.999608 0.293427
#> Iteration: 525 bestvalit: 36.097092 bestmemit: -3.833177 0.016799 0.012482 0.009638 -2.456825 0.107983 0.264858 0.438125 0.882216 0.626614 0.999780 0.962536 0.673097 0.040089 0.999829 0.600698
#> Iteration: 550 bestvalit: 36.092173 bestmemit: -3.860801 0.016871 0.012485 0.009717 -2.457603 0.107624 0.260949 0.438092 0.882003 0.631265 0.999991 0.963631 0.671952 0.041086 0.998954 0.480862
#> Iteration: 575 bestvalit: 35.973407 bestmemit: -4.639236 0.017232 0.012385 0.010067 -2.461898 0.106475 0.218089 0.447464 0.894234 0.673727 0.999279 0.998615 0.605227 0.030875 0.944150 0.892917
#> Iteration: 600 bestvalit: 35.950437 bestmemit: -4.687032 0.017152 0.011950 0.009933 -2.460905 0.109058 0.199130 0.447669 0.903565 0.668762 0.998869 0.997558 0.583057 0.036784 0.921854 0.994873
#> Iteration: 625 bestvalit: 35.915532 bestmemit: -6.484421 0.018066 0.012702 0.010708 -2.471542 0.103465 0.167955 0.453050 0.906525 0.782396 0.997406 0.999772 0.466802 0.045531 0.846844 0.999576
#> Iteration: 650 bestvalit: 35.890273 bestmemit: -7.336241 0.018268 0.013211 0.010741 -2.473798 0.101063 0.174759 0.449084 0.908324 0.824448 0.996697 0.999957 0.420651 0.038271 0.814836 0.999074
#> Iteration: 675 bestvalit: 35.883547 bestmemit: -7.508465 0.018231 0.013165 0.010719 -2.472974 0.100295 0.182822 0.449636 0.906733 0.828234 0.996533 0.999012 0.412692 0.038071 0.814130 0.998210
#> Iteration: 700 bestvalit: 35.871822 bestmemit: -7.602872 0.018422 0.013314 0.010905 -2.475635 0.099929 0.185221 0.457447 0.908021 0.834893 0.993882 0.999829 0.393109 0.033682 0.833330 0.999276
#> Iteration: 725 bestvalit: 35.802722 bestmemit: -7.018380 0.018262 0.012840 0.010859 -2.474409 0.098928 0.200958 0.444890 0.916239 0.830731 0.978404 0.999999 0.360553 0.023785 0.997597 0.709779
#> Iteration: 750 bestvalit: 35.777539 bestmemit: -6.902900 0.018441 0.012948 0.010854 -2.476206 0.098935 0.188348 0.456574 0.915537 0.826376 0.981911 0.999570 0.377924 0.031050 0.999715 0.866040
#> Iteration: 775 bestvalit: 35.774112 bestmemit: -7.059239 0.018442 0.013106 0.010876 -2.476101 0.099651 0.188437 0.457272 0.915993 0.835570 0.982148 0.999555 0.372128 0.030941 0.999985 0.880974
#> Iteration: 800 bestvalit: 35.771545 bestmemit: -6.731290 0.018420 0.013050 0.010837 -2.475843 0.099647 0.189092 0.460083 0.916912 0.837208 0.977235 0.999994 0.371654 0.027506 0.999994 0.929783
#> Iteration: 825 bestvalit: 35.770646 bestmemit: -6.506696 0.018487 0.013081 0.010879 -2.476604 0.099158 0.188163 0.461068 0.917196 0.837336 0.974361 0.999999 0.373292 0.024244 0.999984 0.877796
#> Iteration: 850 bestvalit: 35.763094 bestmemit: -5.065456 0.018715 0.013161 0.011007 -2.479594 0.097777 0.189957 0.471744 0.919646 0.853208 0.950806 0.999874 0.362078 0.004804 0.999405 0.979801
#> Iteration: 875 bestvalit: 35.756064 bestmemit: -4.786563 0.018719 0.013346 0.010974 -2.479584 0.099048 0.198596 0.470925 0.917726 0.857113 0.944035 0.999726 0.347801 0.000695 0.998883 0.830830
#> Iteration: 900 bestvalit: 35.755858 bestmemit: -4.740125 0.018715 0.013343 0.010953 -2.479512 0.098928 0.199151 0.469952 0.917933 0.857951 0.943213 0.999721 0.347684 0.000517 0.998829 0.998615
#> Iteration: 925 bestvalit: 35.755674 bestmemit: -4.723060 0.018691 0.013307 0.010941 -2.479227 0.099098 0.198606 0.470761 0.917714 0.857090 0.943462 0.999846 0.349965 0.000072 0.998896 0.958382
#> Iteration: 950 bestvalit: 35.755310 bestmemit: -4.729557 0.018708 0.013337 0.010955 -2.479440 0.098892 0.199206 0.470188 0.917875 0.858175 0.943023 0.999999 0.348116 0.000014 0.998993 0.830372
#> Iteration: 975 bestvalit: 35.755232 bestmemit: -4.731903 0.018698 0.013326 0.010953 -2.479306 0.099020 0.199221 0.469117 0.917335 0.858201 0.943221 0.999999 0.349404 0.000041 0.999265 0.657614
#> Iteration: 1000 bestvalit: 35.754628 bestmemit: -4.717152 0.018682 0.013319 0.010927 -2.479077 0.099162 0.200453 0.470237 0.917350 0.858413 0.942687 0.999996 0.348982 0.000403 0.999995 0.412348
#> Iteration: 1025 bestvalit: 35.754488 bestmemit: -4.723797 0.018697 0.013333 0.010940 -2.479313 0.098979 0.199459 0.469728 0.917774 0.857497 0.942842 0.999990 0.348323 0.000441 0.999999 0.470268
#> Iteration: 1050 bestvalit: 35.754474 bestmemit: -4.720708 0.018694 0.013330 0.010937 -2.479266 0.099001 0.199634 0.470077 0.917930 0.857659 0.942688 0.999991 0.347956 0.000295 1.000000 0.908616
#> Iteration: 1075 bestvalit: 35.754442 bestmemit: -4.717199 0.018702 0.013338 0.010942 -2.479360 0.098948 0.199687 0.470222 0.917848 0.858060 0.942600 0.999991 0.348030 0.000001 0.999999 0.650750
#> Iteration: 1100 bestvalit: 35.754439 bestmemit: -4.715594 0.018702 0.013337 0.010943 -2.479368 0.098973 0.199699 0.470161 0.917854 0.857945 0.942562 0.999991 0.347841 0.000000 0.999999 0.993775
#> Iteration: 1125 bestvalit: 35.754439 bestmemit: -4.717893 0.018703 0.013339 0.010944 -2.479381 0.098974 0.199735 0.470173 0.917847 0.858000 0.942570 0.999991 0.347732 0.000000 0.999999 0.804753
#> ... Finished Calibration.
#> Best solution: 35.7544386990266
#>
#> ... Doing Calibration Trial 9 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6206166312737
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 75.151911 bestmemit: -2.562308 0.004326 -0.273022 -0.226505 -2.308694 0.420500 0.686945 0.377138 0.934656 0.590890 0.663289 0.300570 0.228239 0.413834 0.155134 0.888231
#> Iteration: 50 bestvalit: 63.747217 bestmemit: -3.354334 0.018946 -0.118396 -0.040975 -2.493487 0.467026 0.504073 0.247651 0.923950 0.691402 0.560556 0.447850 0.320804 0.361001 0.344823 0.575693
#> Iteration: 75 bestvalit: 54.261551 bestmemit: -3.051289 0.011813 0.100835 0.116776 -2.421522 0.373070 0.480741 0.200201 0.998004 0.807299 0.880006 0.190117 0.469779 0.371275 0.465449 0.179118
#> Iteration: 100 bestvalit: 43.359574 bestmemit: -4.918411 0.010624 0.190158 0.004465 -2.385855 0.202275 0.313105 0.402449 0.912930 0.766611 0.985347 0.151569 0.609715 0.143779 0.610855 0.405722
#> Iteration: 125 bestvalit: 39.505704 bestmemit: -6.211491 0.014837 0.091609 0.008457 -2.431332 0.107603 0.473561 0.493174 0.899600 0.719769 0.977800 0.097297 0.616946 0.085156 0.641827 0.529406
#> Iteration: 150 bestvalit: 38.512101 bestmemit: -5.614029 0.017158 0.011342 0.009502 -2.459384 0.114553 0.341666 0.551036 0.925282 0.686449 0.822273 0.186185 0.613979 0.147783 0.351527 0.545479
#> Iteration: 175 bestvalit: 37.316653 bestmemit: -8.255266 0.016320 0.015538 0.008964 -2.452228 0.110536 0.201765 0.416032 0.932004 0.575089 0.936802 0.466074 0.778260 0.013618 0.514971 0.621681
#> Iteration: 200 bestvalit: 36.605921 bestmemit: -7.447216 0.016464 0.009233 0.008637 -2.453393 0.112165 0.345622 0.378231 0.940072 0.362970 0.967040 0.550025 0.741440 0.084225 0.943289 0.815181
#> Iteration: 225 bestvalit: 35.795431 bestmemit: -7.543242 0.016517 0.005051 0.009384 -2.455940 0.113964 0.054409 0.484460 0.961640 0.384790 0.979616 0.489099 0.896059 0.014034 0.894113 0.773273
#> Iteration: 250 bestvalit: 35.665337 bestmemit: -6.908753 0.015818 0.003945 0.009331 -2.446721 0.112045 0.056224 0.483333 0.966881 0.528357 0.966945 0.588923 0.893063 0.010405 0.948122 0.718088
#> Iteration: 275 bestvalit: 35.412461 bestmemit: -8.077959 0.016139 0.004500 0.009436 -2.452062 0.117423 0.050996 0.430479 0.971562 0.743486 0.961503 0.528062 0.917529 0.006263 0.987598 0.265449
#> Iteration: 300 bestvalit: 35.296206 bestmemit: -8.465038 0.015773 0.004202 0.008954 -2.447119 0.119578 0.050083 0.428141 0.965159 0.871780 0.955512 0.506811 0.927671 0.000639 0.990181 0.773038
#> Iteration: 325 bestvalit: 35.266634 bestmemit: -8.664863 0.015932 0.004360 0.009054 -2.449212 0.119894 0.050184 0.422600 0.966411 0.994671 0.951531 0.533146 0.933155 0.000279 0.999032 0.897535
#> Iteration: 350 bestvalit: 35.258207 bestmemit: -8.224078 0.015972 0.004482 0.009102 -2.449651 0.118093 0.050073 0.431022 0.965869 0.997982 0.953182 0.559980 0.933937 0.000206 0.999733 0.406295
#> Iteration: 375 bestvalit: 35.256788 bestmemit: -7.913509 0.015995 0.004481 0.009117 -2.450040 0.118331 0.050022 0.430545 0.965107 0.996048 0.952832 0.554668 0.933083 0.000180 0.999732 0.761761
#> Iteration: 400 bestvalit: 35.255116 bestmemit: -7.290561 0.015949 0.004407 0.009070 -2.449404 0.117916 0.050018 0.431730 0.965222 0.998271 0.951987 0.552947 0.932622 0.000061 0.999872 0.403722
#> Iteration: 425 bestvalit: 35.254498 bestmemit: -7.353022 0.015954 0.004401 0.009054 -2.449377 0.117830 0.050002 0.431190 0.965236 0.998934 0.951266 0.552699 0.931973 0.000003 0.999967 0.669662
#> Iteration: 450 bestvalit: 35.254285 bestmemit: -8.221545 0.015956 0.004412 0.009058 -2.449443 0.117982 0.050001 0.430342 0.965113 0.999528 0.951052 0.551175 0.931787 0.000001 0.999981 0.482848
#> Iteration: 475 bestvalit: 35.254225 bestmemit: -8.775130 0.015960 0.004414 0.009061 -2.449522 0.118048 0.050001 0.430995 0.965054 0.999974 0.951320 0.552360 0.932009 0.000002 0.999984 0.135878
#> Iteration: 500 bestvalit: 35.254190 bestmemit: -8.650025 0.015955 0.004412 0.009057 -2.449467 0.118099 0.050000 0.430811 0.965053 0.999991 0.951432 0.552044 0.932134 0.000000 0.999998 0.909054
#> Iteration: 525 bestvalit: 35.254167 bestmemit: -8.566186 0.015955 0.004416 0.009060 -2.449461 0.118095 0.050000 0.431324 0.965132 0.999992 0.951399 0.552413 0.932137 0.000000 1.000000 0.840048
#> Iteration: 550 bestvalit: 35.254166 bestmemit: -8.433952 0.015956 0.004418 0.009062 -2.449475 0.118100 0.050000 0.431081 0.965094 0.999996 0.951325 0.552200 0.932050 0.000000 1.000000 0.709103
#> Iteration: 575 bestvalit: 35.254164 bestmemit: -8.713540 0.015957 0.004418 0.009062 -2.449486 0.118090 0.050000 0.431124 0.965107 1.000000 0.951376 0.552224 0.932107 0.000000 1.000000 0.358827
#> Iteration: 600 bestvalit: 35.254163 bestmemit: -8.632516 0.015956 0.004417 0.009061 -2.449473 0.118088 0.050000 0.431178 0.965113 0.999999 0.951372 0.552263 0.932105 0.000000 1.000000 0.185510
#> ... Finished Calibration.
#> Best solution: 35.2541630110419
#>
#> ... Doing Calibration Trial 10 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6206166312737
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 101.177550 bestmemit: -5.482183 -0.194142 -0.084531 0.037309 -2.996882 0.391335 0.650547 0.583477 0.785876 0.722102 0.851992 0.373517 0.568943 0.116891 0.190111 0.878979
#> Iteration: 50 bestvalit: 68.730923 bestmemit: -2.072287 0.025856 0.146158 -0.193102 -2.626001 0.512354 0.380845 0.437682 0.954915 0.499503 0.852513 0.293379 0.622872 0.276072 0.244199 0.310972
#> Iteration: 75 bestvalit: 65.954406 bestmemit: -2.098443 0.027435 0.041407 -0.291562 -2.636008 0.487569 0.329950 0.456460 0.991143 0.486584 0.916549 0.641808 0.783636 0.175272 0.446148 0.531406
#> Iteration: 100 bestvalit: 55.154785 bestmemit: -3.955706 0.018690 -0.072171 0.005353 -2.482919 0.381729 0.437759 0.178929 0.905132 0.867135 0.739536 0.488395 0.484433 0.309293 0.275301 0.613609
#> Iteration: 125 bestvalit: 50.940912 bestmemit: -4.613341 0.011168 0.003312 0.400821 -2.404103 0.284228 0.300964 0.218212 0.917577 0.652241 0.739709 0.776463 0.496435 0.365112 0.429837 0.811452
#> Iteration: 150 bestvalit: 48.758144 bestmemit: -4.986684 0.019408 0.009833 0.016830 -2.486743 0.395945 0.618273 0.074964 0.932948 0.717796 0.976850 0.791905 0.346503 0.530785 0.382725 0.467504
#> Iteration: 175 bestvalit: 40.128753 bestmemit: -7.119637 0.019243 0.010102 0.014506 -2.489594 0.147708 0.393294 0.350924 0.907834 0.662251 0.789185 0.934869 0.440278 0.180197 0.615481 0.328777
#> Iteration: 200 bestvalit: 37.454679 bestmemit: -4.680977 0.016083 0.009589 0.004435 -2.450180 0.104183 0.431678 0.432746 0.940593 0.941281 0.482354 0.898249 0.095247 0.394028 0.733423 0.588412
#> Iteration: 225 bestvalit: 36.963954 bestmemit: -4.647779 0.015668 0.009264 0.013418 -2.445478 0.121549 0.447062 0.298547 0.933599 0.960456 0.462681 0.515952 0.090070 0.356441 0.919910 0.700568
#> Iteration: 250 bestvalit: 36.360331 bestmemit: -4.824513 0.016387 0.009878 0.008409 -2.454081 0.111446 0.478119 0.189786 0.937899 0.973483 0.579154 0.002686 0.039725 0.413568 0.881209 0.960794
#> Iteration: 275 bestvalit: 35.984781 bestmemit: -5.769856 0.016823 0.009572 0.011672 -2.457753 0.116222 0.449546 0.249643 0.918418 0.987416 0.602862 0.010401 0.023822 0.576357 0.958031 0.695665
#> Iteration: 300 bestvalit: 35.788919 bestmemit: -7.441602 0.018689 0.010819 0.013103 -2.478887 0.100368 0.447997 0.192446 0.910068 0.949449 0.834736 0.000905 0.018369 0.386074 0.998865 0.218475
#> Iteration: 325 bestvalit: 35.753048 bestmemit: -5.908870 0.018941 0.011141 0.013619 -2.482553 0.098836 0.469642 0.202525 0.918711 0.930793 0.862747 0.000108 0.002993 0.344135 0.999987 0.533235
#> Iteration: 350 bestvalit: 35.741460 bestmemit: -6.469622 0.018783 0.010920 0.013376 -2.480403 0.099218 0.468226 0.201478 0.917869 0.923812 0.852135 0.000120 0.000625 0.345713 0.999551 0.559546
#> Iteration: 375 bestvalit: 35.739143 bestmemit: -6.489913 0.018734 0.010858 0.013261 -2.479995 0.098517 0.471996 0.201569 0.918243 0.923463 0.847699 0.000061 0.000096 0.351222 0.999923 0.624656
#> Iteration: 400 bestvalit: 35.738406 bestmemit: -7.258278 0.018749 0.010892 0.013309 -2.480162 0.098624 0.472788 0.200264 0.917809 0.925027 0.847702 0.000004 0.000051 0.352127 0.999935 0.069356
#> Iteration: 425 bestvalit: 35.738199 bestmemit: -7.535463 0.018766 0.010884 0.013338 -2.480337 0.098595 0.473359 0.199350 0.917435 0.923696 0.848682 0.000013 0.000001 0.350692 0.999987 0.140414
#> Iteration: 450 bestvalit: 35.738161 bestmemit: -7.359563 0.018761 0.010877 0.013332 -2.480306 0.098660 0.473312 0.199849 0.917614 0.923320 0.847936 0.000005 0.000002 0.350656 0.999996 0.677917
#> Iteration: 475 bestvalit: 35.738134 bestmemit: -8.131682 0.018759 0.010878 0.013333 -2.480289 0.098627 0.473195 0.199974 0.917668 0.923355 0.848024 0.000001 0.000000 0.350292 1.000000 0.832449
#> Iteration: 500 bestvalit: 35.738132 bestmemit: -8.120462 0.018762 0.010881 0.013335 -2.480331 0.098651 0.473290 0.199866 0.917632 0.923333 0.848056 0.000000 0.000000 0.350028 0.999999 0.528177
#> Iteration: 525 bestvalit: 35.738129 bestmemit: -8.270461 0.018761 0.010880 0.013332 -2.480317 0.098653 0.473303 0.199803 0.917629 0.923502 0.848052 0.000000 0.000000 0.350361 1.000000 0.535319
#> Iteration: 550 bestvalit: 35.738129 bestmemit: -8.281211 0.018762 0.010882 0.013333 -2.480329 0.098646 0.473325 0.199786 0.917627 0.923505 0.848058 0.000000 0.000000 0.350286 1.000000 0.824597
#> ... Finished Calibration.
#> Best solution: 35.7381287608119
#>
#> ... Doing Calibration Trial 11 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6206166312737
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 71.405633 bestmemit: -9.121112 0.029889 0.160361 -0.165122 -2.725687 0.376664 0.680532 0.485131 0.961254 0.677160 0.658749 0.278079 0.001081 0.062354 0.883496 0.350553
#> Iteration: 50 bestvalit: 46.252158 bestmemit: -2.553386 0.016608 -0.136619 0.006898 -2.459014 0.181763 0.399793 0.420878 0.923795 0.863436 0.874768 0.108196 0.819901 0.011149 0.569245 0.609561
#> Iteration: 75 bestvalit: 38.054757 bestmemit: -3.977044 0.013808 0.011937 0.007795 -2.420424 0.121810 0.094329 0.533854 0.967964 0.911946 0.924594 0.053176 0.771611 0.102183 0.455145 0.439688
#> Iteration: 100 bestvalit: 35.925022 bestmemit: -5.396563 0.016222 0.004556 0.009470 -2.452092 0.122629 0.052724 0.601293 0.974069 0.481597 0.949205 0.546675 0.817785 0.007077 0.998758 0.384001
#> Iteration: 125 bestvalit: 35.761832 bestmemit: -5.388733 0.016232 0.004871 0.009700 -2.452464 0.121578 0.052185 0.597843 0.969135 0.412881 0.951033 0.576301 0.823047 0.000106 0.996026 0.369364
#> Iteration: 150 bestvalit: 35.563640 bestmemit: -5.384283 0.015328 0.003719 0.008800 -2.441584 0.119771 0.050092 0.533671 0.969246 0.463737 0.963253 0.588947 0.879313 0.001264 0.999956 0.360180
#> Iteration: 175 bestvalit: 35.536021 bestmemit: -5.662142 0.015477 0.003862 0.008888 -2.443624 0.119351 0.050040 0.517787 0.971144 0.462950 0.971413 0.570933 0.902361 0.000082 0.999422 0.334684
#> Iteration: 200 bestvalit: 35.330800 bestmemit: -5.148901 0.015851 0.004205 0.008959 -2.448037 0.119017 0.050542 0.466074 0.965415 0.918019 0.949168 0.505360 0.921258 0.000053 0.981401 0.416180
#> Iteration: 225 bestvalit: 35.303222 bestmemit: -5.163960 0.015906 0.004340 0.009027 -2.448809 0.118313 0.050292 0.457774 0.965884 0.995650 0.947587 0.539249 0.928666 0.000086 0.975045 0.432142
#> Iteration: 250 bestvalit: 35.292868 bestmemit: -4.916527 0.015786 0.004140 0.008939 -2.447348 0.118334 0.050007 0.453786 0.965893 0.995955 0.950672 0.532429 0.932216 0.000001 0.982294 0.455026
#> Iteration: 275 bestvalit: 35.278320 bestmemit: -4.927590 0.015980 0.004391 0.009186 -2.449741 0.118224 0.050008 0.443165 0.966070 0.988593 0.955224 0.537099 0.936277 0.000126 0.988929 0.439241
#> Iteration: 300 bestvalit: 35.270175 bestmemit: -5.757742 0.015988 0.004417 0.009132 -2.449933 0.118558 0.050000 0.425775 0.965470 0.971480 0.954734 0.537304 0.934234 0.000635 0.993565 0.308290
#> Iteration: 325 bestvalit: 35.265841 bestmemit: -5.635167 0.015963 0.004397 0.009081 -2.449598 0.118341 0.050011 0.423415 0.965585 0.999375 0.955825 0.545391 0.936878 0.000777 0.997602 0.346745
#> Iteration: 350 bestvalit: 35.259982 bestmemit: -5.580575 0.015944 0.004411 0.009083 -2.449280 0.118791 0.050091 0.430913 0.964807 0.997701 0.953533 0.550717 0.934011 0.000488 0.999997 0.329234
#> Iteration: 375 bestvalit: 35.257831 bestmemit: -5.905600 0.015946 0.004397 0.009068 -2.449342 0.117728 0.050139 0.433305 0.965156 0.999792 0.950933 0.549332 0.931758 0.000188 0.999980 0.272278
#> Iteration: 400 bestvalit: 35.256999 bestmemit: -6.484626 0.015964 0.004428 0.009083 -2.449626 0.118072 0.050146 0.433984 0.965445 0.999932 0.951126 0.545849 0.932260 0.000047 0.999999 0.202129
#> Iteration: 425 bestvalit: 35.256580 bestmemit: -7.899537 0.015956 0.004410 0.009081 -2.449495 0.118060 0.050158 0.431968 0.965252 0.999963 0.951618 0.548690 0.932549 0.000001 0.999999 0.058528
#> Iteration: 450 bestvalit: 35.256504 bestmemit: -8.011816 0.015962 0.004422 0.009073 -2.449562 0.118174 0.050159 0.431486 0.965272 0.999887 0.951791 0.550559 0.932663 0.000003 0.999998 0.371311
#> Iteration: 475 bestvalit: 35.256455 bestmemit: -8.004382 0.015961 0.004430 0.009067 -2.449550 0.118131 0.050158 0.430906 0.965219 0.999689 0.951459 0.550142 0.932303 0.000000 1.000000 0.046006
#> Iteration: 500 bestvalit: 35.256249 bestmemit: -8.274124 0.015949 0.004417 0.009067 -2.449469 0.118224 0.050133 0.430884 0.965024 0.999973 0.951394 0.554650 0.931992 0.000001 0.999989 0.134103
#> Iteration: 525 bestvalit: 35.255164 bestmemit: -6.550185 0.015972 0.004447 0.009087 -2.449771 0.117924 0.050002 0.427125 0.965409 0.999903 0.951150 0.557376 0.931863 0.000001 0.999941 0.649610
#> Iteration: 550 bestvalit: 35.254453 bestmemit: -6.538511 0.015947 0.004411 0.009062 -2.449388 0.118153 0.050000 0.430609 0.965064 0.999978 0.951904 0.556834 0.932449 0.000000 0.999937 0.373752
#> Iteration: 575 bestvalit: 35.254393 bestmemit: -6.498956 0.015947 0.004409 0.009055 -2.449369 0.118116 0.050000 0.430130 0.965030 0.999914 0.951766 0.553523 0.932400 0.000000 0.999940 0.322028
#> Iteration: 600 bestvalit: 35.254378 bestmemit: -6.582367 0.015946 0.004408 0.009053 -2.449355 0.118089 0.050000 0.430073 0.965005 0.999997 0.951672 0.553847 0.932284 0.000000 0.999940 0.576029
#> Iteration: 625 bestvalit: 35.254375 bestmemit: -6.559696 0.015947 0.004410 0.009053 -2.449370 0.118111 0.050000 0.430105 0.965016 0.999999 0.951698 0.553411 0.932331 0.000000 0.999940 0.608424
#> Iteration: 650 bestvalit: 35.254370 bestmemit: -6.573737 0.015947 0.004408 0.009055 -2.449375 0.118151 0.050000 0.430241 0.965014 1.000000 0.951706 0.553072 0.932349 0.000000 0.999942 0.613204
#> Iteration: 675 bestvalit: 35.254324 bestmemit: -6.737324 0.015954 0.004419 0.009060 -2.449466 0.118170 0.050000 0.430321 0.965032 0.999991 0.951359 0.551276 0.932066 0.000000 0.999962 0.509287
#> Iteration: 700 bestvalit: 35.254237 bestmemit: -7.287805 0.015954 0.004415 0.009059 -2.449447 0.118089 0.050001 0.430986 0.965090 0.999943 0.951406 0.552347 0.932101 0.000000 0.999999 0.575012
#> Iteration: 725 bestvalit: 35.254235 bestmemit: -7.312904 0.015954 0.004415 0.009059 -2.449449 0.118090 0.050001 0.430969 0.965095 0.999931 0.951423 0.552753 0.932107 0.000000 1.000000 0.396031
#> Iteration: 750 bestvalit: 35.254228 bestmemit: -7.264860 0.015956 0.004420 0.009061 -2.449470 0.118093 0.050002 0.430871 0.965066 0.999863 0.951365 0.552934 0.932033 0.000000 1.000000 0.691301
#> Iteration: 775 bestvalit: 35.254220 bestmemit: -7.212242 0.015956 0.004418 0.009061 -2.449477 0.118114 0.050002 0.430898 0.965101 0.999818 0.951416 0.553110 0.932101 0.000000 1.000000 0.664416
#> Iteration: 800 bestvalit: 35.254218 bestmemit: -7.229109 0.015953 0.004414 0.009059 -2.449443 0.118100 0.050002 0.430951 0.965088 0.999814 0.951420 0.552702 0.932112 0.000000 1.000000 0.104584
#> Iteration: 825 bestvalit: 35.254217 bestmemit: -7.236691 0.015954 0.004414 0.009059 -2.449445 0.118103 0.050002 0.430903 0.965088 0.999814 0.951412 0.552666 0.932105 0.000000 1.000000 0.888064
#> ... Finished Calibration.
#> Best solution: 35.2542173759005
#>
#> ... Doing Calibration Trial 12 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6206166312737
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 81.681453 bestmemit: -2.784244 -0.162043 0.021401 -0.021435 -2.508621 0.611630 0.400276 0.332953 0.733801 0.966208 0.914315 0.713449 0.149712 0.250314 0.667486 0.234683
#> Iteration: 50 bestvalit: 69.670891 bestmemit: -9.344754 0.043045 0.020164 -0.105649 -2.519924 0.262735 0.692738 0.706605 0.524003 0.979828 0.768982 0.572512 0.076673 0.369934 0.505139 0.203259
#> Iteration: 75 bestvalit: 61.653473 bestmemit: -7.260773 0.022939 -0.027546 0.236739 -2.583914 0.422755 0.568090 0.660765 0.966266 0.699095 0.862446 0.124478 0.057967 0.613044 0.251191 0.165075
#> Iteration: 100 bestvalit: 57.065999 bestmemit: -5.707947 0.018607 -0.107090 0.416962 -2.501441 0.356484 0.702078 0.693186 0.995308 0.915367 0.775434 0.638457 0.157452 0.593337 0.179496 0.568570
#> Iteration: 125 bestvalit: 50.262447 bestmemit: -4.690398 0.016104 -0.078842 0.011362 -2.446195 0.156663 0.669494 0.690867 0.964735 0.734411 0.952468 0.362594 0.125630 0.632008 0.399920 0.203786
#> Iteration: 150 bestvalit: 44.954208 bestmemit: -4.283510 0.015192 0.008750 0.118377 -2.447486 0.258991 0.675143 0.598419 0.976854 0.873866 0.902251 0.568480 0.056253 0.583434 0.615857 0.490659
#> Iteration: 175 bestvalit: 41.304304 bestmemit: -5.945637 0.014874 0.008887 -0.153468 -2.439285 0.128725 0.477732 0.718734 0.955695 0.850888 0.844659 0.617641 0.097752 0.687979 0.425849 0.863726
#> Iteration: 200 bestvalit: 38.968695 bestmemit: -5.718866 0.016896 0.012270 0.016373 -2.463760 0.127394 0.513030 0.319754 0.955128 0.952576 0.738197 0.268060 0.069771 0.558223 0.571370 0.584118
#> Iteration: 225 bestvalit: 37.075606 bestmemit: -6.152315 0.015335 0.008442 0.010330 -2.438626 0.107886 0.433739 0.387939 0.967085 0.962944 0.697960 0.665400 0.081820 0.451035 0.813751 0.337948
#> Iteration: 250 bestvalit: 36.681748 bestmemit: -4.383041 0.016303 0.009495 0.003613 -2.450823 0.112258 0.553057 0.051278 0.956728 0.953001 0.719577 0.556627 0.027538 0.699557 0.805495 0.533271
#> Iteration: 275 bestvalit: 36.026098 bestmemit: -5.466567 0.015692 0.008793 0.005074 -2.447008 0.116058 0.508682 0.059240 0.961099 0.935701 0.648668 0.579678 0.021245 0.850427 0.833901 0.267526
#> Iteration: 300 bestvalit: 35.463787 bestmemit: -6.512770 0.015678 0.009007 0.004291 -2.445540 0.113726 0.443663 0.053281 0.967408 0.953894 0.600622 0.414529 0.003682 0.865190 0.981347 0.511600
#> Iteration: 325 bestvalit: 35.330502 bestmemit: -7.272432 0.016032 0.009215 0.004491 -2.450454 0.119419 0.441627 0.051169 0.964231 0.959129 0.865508 0.378365 0.001155 0.920381 0.990274 0.767327
#> Iteration: 350 bestvalit: 35.280457 bestmemit: -7.920874 0.016050 0.009187 0.004533 -2.450501 0.117856 0.430041 0.050628 0.964700 0.955980 0.917301 0.426393 0.000154 0.929594 0.993836 0.372189
#> Iteration: 375 bestvalit: 35.265124 bestmemit: -6.649571 0.016031 0.009146 0.004460 -2.450251 0.116916 0.429741 0.050168 0.964415 0.953785 0.995364 0.457479 0.000097 0.932871 0.999299 0.573605
#> Iteration: 400 bestvalit: 35.259287 bestmemit: -6.595152 0.016007 0.009074 0.004417 -2.449906 0.118177 0.429521 0.050027 0.965136 0.949451 0.989833 0.463609 0.000159 0.930012 0.999305 0.800099
#> Iteration: 425 bestvalit: 35.255581 bestmemit: -7.349069 0.015940 0.009017 0.004385 -2.449232 0.117984 0.429325 0.050009 0.965153 0.951347 0.996592 0.453720 0.000041 0.931926 0.999808 0.677918
#> Iteration: 450 bestvalit: 35.254521 bestmemit: -8.436382 0.015960 0.009063 0.004415 -2.449508 0.118089 0.431276 0.050000 0.964682 0.951052 0.999277 0.448521 0.000018 0.931496 0.999999 0.606768
#> Iteration: 475 bestvalit: 35.254303 bestmemit: -8.196663 0.015950 0.009057 0.004410 -2.449404 0.118214 0.431628 0.050001 0.965080 0.951428 0.999385 0.450107 0.000004 0.932179 0.999978 0.478867
#> Iteration: 500 bestvalit: 35.254216 bestmemit: -9.192909 0.015957 0.009060 0.004418 -2.449481 0.118094 0.430740 0.050000 0.965092 0.951352 0.999839 0.448191 0.000000 0.932065 0.999990 0.227717
#> Iteration: 525 bestvalit: 35.254203 bestmemit: -8.937546 0.015950 0.009054 0.004414 -2.449398 0.118169 0.431264 0.050000 0.965081 0.951506 0.999918 0.447705 0.000000 0.932209 0.999998 0.308594
#> Iteration: 550 bestvalit: 35.254175 bestmemit: -9.225256 0.015957 0.009062 0.004421 -2.449495 0.118083 0.431132 0.050000 0.965092 0.951424 0.999959 0.448018 0.000000 0.932152 0.999999 0.387698
#> Iteration: 575 bestvalit: 35.254167 bestmemit: -8.544125 0.015955 0.009060 0.004416 -2.449467 0.118098 0.431184 0.050000 0.965108 0.951448 0.999991 0.447595 0.000000 0.932173 0.999999 0.075319
#> Iteration: 600 bestvalit: 35.254164 bestmemit: -8.123599 0.015955 0.009060 0.004417 -2.449466 0.118106 0.431162 0.050000 0.965107 0.951366 0.999999 0.447776 0.000000 0.932097 1.000000 0.493545
#> Iteration: 625 bestvalit: 35.254163 bestmemit: -8.181506 0.015956 0.009060 0.004417 -2.449471 0.118093 0.431145 0.050000 0.965101 0.951368 0.999999 0.447641 0.000000 0.932091 1.000000 0.880101
#> ... Finished Calibration.
#> Best solution: 35.2541631570468
#>
#> ... Doing Calibration Trial 13 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6206166312737
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 74.987893 bestmemit: -4.366070 0.023162 -0.173038 -0.015544 -2.600947 0.214755 0.234586 0.495781 0.901823 0.588764 0.842585 0.554791 0.481374 0.403491 0.617950 0.375646
#> Iteration: 50 bestvalit: 70.431865 bestmemit: -4.332134 0.020748 -0.214783 0.033645 -2.583260 0.266162 0.176171 0.594442 0.929312 0.511692 0.944758 0.773393 0.417764 0.315733 0.785293 0.350005
#> Iteration: 75 bestvalit: 60.208293 bestmemit: -3.479870 0.021395 -0.155380 0.264050 -2.551121 0.565645 0.237602 0.394429 0.988255 0.497683 0.755820 0.995690 0.506967 0.233034 0.308216 0.346399
#> Iteration: 100 bestvalit: 52.617447 bestmemit: -7.146164 0.017632 -0.362864 0.009170 -2.480433 0.335027 0.265214 0.388562 0.968521 0.720034 0.491532 0.330493 0.221134 0.300189 0.319192 0.531008
#> Iteration: 125 bestvalit: 44.926206 bestmemit: -6.107760 0.017748 -0.087518 0.011557 -2.479435 0.217128 0.236040 0.448179 0.966838 0.630825 0.868428 0.556764 0.545101 0.194193 0.489569 0.753138
#> Iteration: 150 bestvalit: 41.638028 bestmemit: -3.512111 0.014949 -0.078867 0.009971 -2.454337 0.161490 0.603329 0.342081 0.981935 0.771822 0.995454 0.119846 0.880607 0.012843 0.916160 0.691017
#> Iteration: 175 bestvalit: 38.351171 bestmemit: -5.835020 0.016787 0.001154 0.009586 -2.458508 0.138711 0.214896 0.508026 0.981899 0.731007 0.939261 0.208504 0.901468 0.054240 0.688148 0.646936
#> Iteration: 200 bestvalit: 37.113408 bestmemit: -4.465481 0.015534 -0.385111 0.008757 -2.442849 0.118393 0.508719 0.369561 0.964686 0.722616 0.999156 0.023920 0.352674 0.120699 0.833628 0.375294
#> Iteration: 225 bestvalit: 36.796042 bestmemit: -6.166550 0.015873 0.007997 0.009113 -2.447212 0.118599 0.359667 0.426422 0.962681 0.404014 0.994212 0.241172 0.543376 0.099314 0.813961 0.748166
#> Iteration: 250 bestvalit: 36.085940 bestmemit: -7.001639 0.015971 0.005344 0.009025 -2.449190 0.118520 0.081177 0.420288 0.960589 0.397415 0.984589 0.674496 0.612259 0.044744 0.949237 0.482897
#> Iteration: 275 bestvalit: 35.764254 bestmemit: -8.373460 0.015880 0.004237 0.008817 -2.448505 0.121362 0.052553 0.483477 0.969466 0.274795 0.977367 0.639976 0.766846 0.000306 0.930711 0.526271
#> Iteration: 300 bestvalit: 35.453234 bestmemit: -5.314542 0.015788 0.003962 0.008671 -2.447034 0.115630 0.050956 0.455971 0.965665 0.633512 0.964661 0.640094 0.902429 0.006183 0.980592 0.700552
#> Iteration: 325 bestvalit: 35.327137 bestmemit: -7.348634 0.016043 0.004419 0.009223 -2.450389 0.119613 0.050503 0.422539 0.966059 0.760653 0.959082 0.601188 0.916000 0.001138 0.983558 0.546533
#> Iteration: 350 bestvalit: 35.282821 bestmemit: -6.207715 0.016042 0.004445 0.009032 -2.450188 0.118928 0.050352 0.429729 0.965582 0.866916 0.951115 0.557938 0.921032 0.001343 0.997850 0.815621
#> Iteration: 375 bestvalit: 35.261206 bestmemit: -7.984600 0.016003 0.004410 0.009070 -2.449900 0.119241 0.050044 0.430555 0.965410 0.991678 0.949353 0.534201 0.929760 0.000162 0.999472 0.159548
#> Iteration: 400 bestvalit: 35.258353 bestmemit: -6.824291 0.015949 0.004362 0.009042 -2.449313 0.117714 0.050007 0.430934 0.965276 0.990207 0.947293 0.554096 0.927176 0.000052 0.999552 0.531157
#> Iteration: 425 bestvalit: 35.255533 bestmemit: -7.898623 0.015954 0.004412 0.009045 -2.449457 0.118151 0.050009 0.431912 0.965174 0.996036 0.950564 0.548828 0.931102 0.000136 0.999959 0.540232
#> Iteration: 450 bestvalit: 35.254662 bestmemit: -8.373256 0.015943 0.004396 0.009045 -2.449312 0.118209 0.050005 0.431106 0.965035 0.996410 0.951428 0.555567 0.931720 0.000001 0.999927 0.653363
#> Iteration: 475 bestvalit: 35.254295 bestmemit: -8.249642 0.015942 0.004403 0.009048 -2.449327 0.118125 0.050001 0.431368 0.965008 0.999787 0.951112 0.549570 0.931867 0.000002 0.999981 0.821333
#> Iteration: 500 bestvalit: 35.254243 bestmemit: -8.413537 0.015953 0.004407 0.009058 -2.449432 0.118130 0.050000 0.431170 0.965088 0.999712 0.951349 0.551827 0.932049 0.000005 0.999996 0.553224
#> Iteration: 525 bestvalit: 35.254193 bestmemit: -8.225090 0.015961 0.004422 0.009068 -2.449546 0.118109 0.050000 0.431167 0.965103 0.999919 0.951443 0.553138 0.932131 0.000000 0.999997 0.653467
#> Iteration: 550 bestvalit: 35.254173 bestmemit: -9.026293 0.015956 0.004417 0.009061 -2.449481 0.118086 0.050000 0.431400 0.965111 0.999941 0.951356 0.552867 0.932063 0.000001 1.000000 0.489724
#> Iteration: 575 bestvalit: 35.254168 bestmemit: -8.410415 0.015954 0.004415 0.009059 -2.449443 0.118086 0.050000 0.431242 0.965099 0.999995 0.951364 0.552583 0.932077 0.000000 1.000000 0.278236
#> Iteration: 600 bestvalit: 35.254165 bestmemit: -8.298629 0.015955 0.004416 0.009060 -2.449463 0.118080 0.050000 0.431217 0.965109 0.999999 0.951353 0.552537 0.932074 0.000000 1.000000 0.988793
#> Iteration: 625 bestvalit: 35.254163 bestmemit: -8.468856 0.015955 0.004416 0.009060 -2.449470 0.118084 0.050000 0.431122 0.965106 0.999998 0.951360 0.552174 0.932092 0.000000 1.000000 0.350915
#> ... Finished Calibration.
#> Best solution: 35.2541631551277
#>
#> ... Doing Calibration Trial 14 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6206166312737
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 79.065019 bestmemit: -3.142670 -0.007648 -0.025124 0.009688 -2.360648 0.529670 0.372382 0.348857 0.860921 0.845021 0.851445 0.478103 0.246138 0.178876 0.668441 0.597674
#> Iteration: 50 bestvalit: 61.400053 bestmemit: -6.352791 0.013318 0.235239 0.370143 -2.454530 0.272294 0.193702 0.138768 0.938388 0.679406 0.596894 0.530162 0.026465 0.155007 0.661762 0.002982
#> Iteration: 75 bestvalit: 59.476982 bestmemit: -3.119454 0.013410 0.060016 0.422132 -2.429483 0.338687 0.261427 0.178076 0.935752 0.724002 0.815570 0.577991 0.276072 0.247337 0.699732 0.172275
#> Iteration: 100 bestvalit: 51.833103 bestmemit: -9.411957 0.018592 0.008918 0.015197 -2.496195 0.451752 0.742739 0.400871 0.956525 0.452448 0.889353 0.883106 0.378612 0.218325 0.616881 0.427820
#> Iteration: 125 bestvalit: 40.666587 bestmemit: -4.444334 0.016639 0.178296 0.010419 -2.462006 0.101586 0.384268 0.408736 0.982557 0.796183 0.965880 0.172013 0.440580 0.164828 0.260320 0.662437
#> Iteration: 150 bestvalit: 39.728429 bestmemit: -3.840408 0.016147 0.053725 0.009241 -2.449908 0.123383 0.299663 0.518211 0.960127 0.567870 0.933392 0.372225 0.651714 0.063182 0.468248 0.336178
#> Iteration: 175 bestvalit: 37.082505 bestmemit: -6.435312 0.014928 0.010191 0.008153 -2.438540 0.119110 0.356291 0.420309 0.942481 0.435911 0.903680 0.203333 0.688162 0.052024 0.886892 0.118752
#> Iteration: 200 bestvalit: 36.624022 bestmemit: -7.491080 0.015615 0.008430 0.008597 -2.446955 0.109832 0.258566 0.456494 0.947767 0.292941 0.924294 0.653887 0.448529 0.033303 0.956182 0.272851
#> Iteration: 225 bestvalit: 36.010087 bestmemit: -9.398408 0.016566 0.010199 0.009569 -2.454604 0.118447 0.221382 0.463499 0.931434 0.423677 0.973029 0.936797 0.735059 0.020559 0.997832 0.730808
#> Iteration: 250 bestvalit: 35.898069 bestmemit: -7.875374 0.016548 0.010486 0.009381 -2.455287 0.112654 0.217633 0.431817 0.929607 0.400027 0.988389 0.998826 0.629127 0.033333 0.999256 0.485211
#> Iteration: 275 bestvalit: 35.877016 bestmemit: -8.944642 0.016456 0.010186 0.009317 -2.453822 0.114307 0.199872 0.452007 0.933807 0.414099 0.998797 0.999750 0.625660 0.035119 0.999422 0.823528
#> Iteration: 300 bestvalit: 35.867115 bestmemit: -6.449376 0.016402 0.009774 0.009272 -2.453640 0.113632 0.185037 0.444049 0.935666 0.223691 0.999922 0.999280 0.697882 0.042271 0.999956 0.620467
#> Iteration: 325 bestvalit: 35.864806 bestmemit: -7.696929 0.016380 0.009738 0.009238 -2.453286 0.113857 0.187768 0.450690 0.936100 0.213555 0.999867 0.999952 0.699477 0.037965 0.999776 0.695874
#> Iteration: 350 bestvalit: 35.863719 bestmemit: -9.171247 0.016391 0.009782 0.009259 -2.453364 0.113831 0.191850 0.446306 0.935500 0.212303 0.999864 0.999950 0.694499 0.038630 0.999970 0.785781
#> Iteration: 375 bestvalit: 35.863446 bestmemit: -7.793136 0.016418 0.009829 0.009290 -2.453714 0.113761 0.192437 0.446409 0.935197 0.212138 0.999993 0.999993 0.693941 0.039073 0.999984 0.534573
#> Iteration: 400 bestvalit: 35.863379 bestmemit: -7.918083 0.016412 0.009817 0.009279 -2.453644 0.113873 0.192178 0.446466 0.935655 0.210447 1.000000 0.999996 0.694174 0.039203 0.999991 0.275806
#> Iteration: 425 bestvalit: 35.863353 bestmemit: -9.820524 0.016413 0.009803 0.009286 -2.453660 0.113886 0.191768 0.446901 0.935674 0.210377 0.999999 0.999999 0.694215 0.039162 0.999999 0.315876
#> Iteration: 450 bestvalit: 35.863349 bestmemit: -8.961120 0.016415 0.009809 0.009286 -2.453685 0.113904 0.191955 0.446820 0.935632 0.210830 1.000000 1.000000 0.694684 0.039218 1.000000 0.313251
#> Iteration: 475 bestvalit: 35.863347 bestmemit: -8.946175 0.016414 0.009811 0.009286 -2.453670 0.113886 0.192045 0.446900 0.935605 0.210846 1.000000 1.000000 0.694584 0.039231 1.000000 0.086188
#> Iteration: 500 bestvalit: 35.863347 bestmemit: -9.222652 0.016415 0.009813 0.009287 -2.453679 0.113882 0.192131 0.446869 0.935572 0.211003 1.000000 1.000000 0.694656 0.039234 1.000000 0.656347
#> ... Finished Calibration.
#> Best solution: 35.8633469054007
#>
#> ... Doing Calibration Trial 15 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6206166312737
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 91.915902 bestmemit: -2.250931 0.036547 0.107511 0.271509 -2.828389 0.448762 0.501144 0.331264 0.887511 0.657019 0.595610 0.354091 0.089176 0.287188 0.304881 0.454326
#> Iteration: 50 bestvalit: 64.673000 bestmemit: -4.842539 0.002846 -0.356355 0.368171 -2.326895 0.429769 0.118162 0.182430 0.928287 0.883161 0.297152 0.008360 0.040461 0.322433 0.639876 0.468543
#> Iteration: 75 bestvalit: 59.812009 bestmemit: -3.180895 0.022716 0.012696 0.188966 -2.538889 0.549046 0.286306 0.101316 0.968931 0.759105 0.450740 0.291197 0.169933 0.398085 0.529119 0.281116
#> Iteration: 100 bestvalit: 48.287515 bestmemit: -2.945760 0.018053 -0.053859 0.011994 -2.490915 0.130172 0.375842 0.206665 0.914916 0.616530 0.889807 0.332240 0.138036 0.267941 0.770385 0.338082
#> Iteration: 125 bestvalit: 44.882003 bestmemit: -3.775361 0.013806 -0.318766 0.003433 -2.416852 0.170888 0.583089 0.473706 0.909617 0.553337 0.896565 0.309543 0.172157 0.360804 0.973642 0.442090
#> Iteration: 150 bestvalit: 40.147099 bestmemit: -8.873093 0.018687 0.026364 0.010307 -2.478324 0.134008 0.654654 0.645552 0.896965 0.348568 0.995010 0.069642 0.150889 0.145318 0.904197 0.207647
#> Iteration: 175 bestvalit: 38.406346 bestmemit: -4.500275 0.016995 -0.277945 0.009834 -2.463201 0.127817 0.640492 0.505380 0.893768 0.362669 0.993431 0.008220 0.116643 0.158607 0.945047 0.498375
#> Iteration: 200 bestvalit: 36.985380 bestmemit: -4.934858 0.016339 0.008963 0.008383 -2.453254 0.113074 0.183098 0.502488 0.954321 0.355232 0.954704 0.934189 0.204787 0.137489 0.708388 0.527621
#> Iteration: 225 bestvalit: 36.905874 bestmemit: -6.872155 0.016113 0.008895 0.008086 -2.451503 0.119109 0.247554 0.395120 0.959330 0.292038 0.967484 0.743192 0.238473 0.107248 0.828164 0.568104
#> Iteration: 250 bestvalit: 36.525720 bestmemit: -8.298745 0.016012 0.013832 0.008901 -2.447651 0.123251 0.067658 0.373836 0.950656 0.366483 0.939504 0.742821 0.214017 0.085272 0.977860 0.675039
#> Iteration: 275 bestvalit: 35.934557 bestmemit: -8.728880 0.016355 0.014314 0.008917 -2.450848 0.114679 0.063839 0.380152 0.927042 0.863950 0.916280 0.425397 0.269222 0.125795 0.236438 0.939825
#> Iteration: 300 bestvalit: 34.883983 bestmemit: -6.289682 0.017586 0.014888 0.009845 -2.461014 0.119722 0.050588 0.486528 0.914821 0.829285 0.841246 0.743858 0.246757 0.027987 0.215115 0.916885
#> Iteration: 325 bestvalit: 33.792577 bestmemit: -5.264883 0.020327 0.016555 0.011242 -2.478171 0.068790 0.054413 0.464278 0.778234 0.894573 0.786791 0.750262 0.180798 0.007715 0.052582 0.922939
#> Iteration: 350 bestvalit: 32.163398 bestmemit: -6.724637 0.023874 0.018947 0.012011 -2.502715 0.052134 0.050413 0.393885 0.669345 0.876296 0.790084 0.964361 0.133931 0.021145 0.012863 0.946765
#> Iteration: 375 bestvalit: 31.796233 bestmemit: -9.013259 0.024324 0.019537 0.013206 -2.511690 0.052546 0.050188 0.384164 0.651093 0.874410 0.833536 0.990877 0.139173 0.041007 0.023477 0.997901
#> Iteration: 400 bestvalit: 31.677092 bestmemit: -9.177510 0.024150 0.019373 0.013011 -2.509483 0.050305 0.050016 0.381026 0.639763 0.867266 0.828461 0.998492 0.150411 0.026632 0.002261 0.989777
#> Iteration: 425 bestvalit: 31.661742 bestmemit: -8.029590 0.024217 0.019454 0.013265 -2.510629 0.050161 0.050005 0.372429 0.649922 0.874749 0.840250 0.996689 0.131840 0.034413 0.002876 0.985140
#> Iteration: 450 bestvalit: 31.634145 bestmemit: -6.553819 0.024255 0.019436 0.013354 -2.510786 0.050058 0.050016 0.380224 0.641883 0.878722 0.841008 0.999875 0.136037 0.035089 0.002192 0.998582
#> Iteration: 475 bestvalit: 31.627291 bestmemit: -6.417134 0.024236 0.019417 0.013245 -2.510056 0.050005 0.050009 0.381182 0.642650 0.878819 0.844016 0.999293 0.137082 0.035008 0.001252 0.998624
#> Iteration: 500 bestvalit: 31.623201 bestmemit: -7.902272 0.024286 0.019475 0.013283 -2.510983 0.050008 0.050009 0.376945 0.641242 0.875897 0.839334 0.999961 0.141208 0.031854 0.000228 0.999851
#> Iteration: 525 bestvalit: 31.621625 bestmemit: -7.596108 0.024329 0.019511 0.013310 -2.511350 0.050001 0.050002 0.376135 0.641199 0.879501 0.839515 0.999996 0.138828 0.033143 0.000003 0.999964
#> Iteration: 550 bestvalit: 31.621196 bestmemit: -7.660616 0.024279 0.019465 0.013291 -2.510789 0.050000 0.050002 0.377973 0.640837 0.878604 0.840824 0.999961 0.140254 0.032835 0.000019 0.999956
#> Iteration: 575 bestvalit: 31.620837 bestmemit: -7.826821 0.024294 0.019480 0.013291 -2.510957 0.050001 0.050001 0.378607 0.641351 0.877902 0.839614 0.999979 0.139459 0.033336 0.000025 0.999967
#> Iteration: 600 bestvalit: 31.620689 bestmemit: -7.580369 0.024284 0.019469 0.013282 -2.510815 0.050000 0.050000 0.378498 0.640778 0.877652 0.838793 1.000000 0.139575 0.033126 0.000004 0.999987
#> Iteration: 625 bestvalit: 31.620658 bestmemit: -8.150543 0.024288 0.019474 0.013288 -2.510873 0.050000 0.050000 0.378638 0.640834 0.877945 0.839242 0.999999 0.139529 0.032999 0.000000 0.999993
#> Iteration: 650 bestvalit: 31.620631 bestmemit: -8.365621 0.024287 0.019472 0.013281 -2.510872 0.050000 0.050000 0.378426 0.640570 0.877925 0.839015 0.999999 0.139481 0.033039 0.000005 0.999997
#> Iteration: 675 bestvalit: 31.620623 bestmemit: -8.681065 0.024284 0.019471 0.013283 -2.510846 0.050000 0.050000 0.378551 0.640578 0.878054 0.839248 0.999999 0.139328 0.033113 0.000002 0.999999
#> Iteration: 700 bestvalit: 31.620619 bestmemit: -8.185955 0.024285 0.019472 0.013282 -2.510863 0.050000 0.050000 0.378537 0.640675 0.877951 0.839137 1.000000 0.139418 0.033083 0.000000 0.999999
#> Iteration: 725 bestvalit: 31.620618 bestmemit: -8.194168 0.024285 0.019471 0.013280 -2.510852 0.050000 0.050000 0.378562 0.640658 0.877931 0.839106 1.000000 0.139387 0.033085 0.000000 1.000000
#> Iteration: 750 bestvalit: 31.620617 bestmemit: -8.207989 0.024285 0.019472 0.013281 -2.510862 0.050000 0.050000 0.378534 0.640606 0.877968 0.839113 1.000000 0.139421 0.033102 0.000000 1.000000
#> ... Finished Calibration.
#> Best solution: 31.6206167524227
#>
#> ... Doing Calibration Trial 16 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6206166312737
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 74.947646 bestmemit: -1.601142 -0.000169 -0.318393 0.435408 -2.264266 0.492557 0.311608 0.436769 0.913915 0.977227 0.695569 0.378868 0.154112 0.393270 0.509293 0.536072
#> Iteration: 50 bestvalit: 59.905917 bestmemit: -3.438788 0.005980 0.260394 -0.208870 -2.350668 0.393830 0.708330 0.193792 0.959515 0.749708 0.833079 0.360332 0.304682 0.033930 0.811710 0.782169
#> Iteration: 75 bestvalit: 50.342203 bestmemit: -3.787655 0.019168 0.008270 0.338540 -2.505466 0.086770 0.232723 0.085578 0.964498 0.892116 0.788566 0.682275 0.436175 0.069949 0.995791 0.592928
#> Iteration: 100 bestvalit: 46.285784 bestmemit: -4.691045 0.017254 -0.438656 0.010786 -2.480195 0.118565 0.249147 0.457478 0.930460 0.745085 0.676013 0.090378 0.525835 0.280661 0.645079 0.412825
#> Iteration: 125 bestvalit: 40.460393 bestmemit: -5.145056 0.018627 0.007949 0.012738 -2.484084 0.088728 0.274232 0.507281 0.840874 0.806537 0.652618 0.200586 0.531798 0.266267 0.524860 0.426962
#> Iteration: 150 bestvalit: 40.397226 bestmemit: -4.881386 0.014708 0.084205 0.007321 -2.433682 0.117317 0.197929 0.559374 0.921413 0.735797 0.957336 0.346209 0.665209 0.130344 0.355447 0.757034
#> Iteration: 175 bestvalit: 39.590028 bestmemit: -6.520202 0.015301 0.009518 0.007113 -2.435770 0.115566 0.420867 0.512595 0.892955 0.675904 0.764044 0.240904 0.658283 0.169899 0.255851 0.534555
#> Iteration: 200 bestvalit: 36.990329 bestmemit: -6.025679 0.015108 0.011362 0.007484 -2.434090 0.111293 0.233082 0.407959 0.929573 0.666857 0.958267 0.599346 0.569813 0.053250 0.865199 0.455513
#> Iteration: 225 bestvalit: 36.100479 bestmemit: -8.407860 0.018288 0.012289 0.010827 -2.475236 0.105530 0.143021 0.482057 0.919752 0.779416 0.942212 0.982525 0.425611 0.023913 0.845911 0.591718
#> Iteration: 250 bestvalit: 35.814714 bestmemit: -6.227709 0.018251 0.012831 0.010809 -2.474654 0.100536 0.185319 0.474383 0.926868 0.818742 0.989272 0.999831 0.352558 0.030155 0.994041 0.583686
#> Iteration: 275 bestvalit: 35.784094 bestmemit: -6.692094 0.018406 0.013064 0.010997 -2.475324 0.100123 0.182562 0.463527 0.916186 0.836699 0.985987 0.999570 0.365951 0.029523 0.998198 0.168943
#> Iteration: 300 bestvalit: 35.748435 bestmemit: -5.765936 0.018888 0.013471 0.010967 -2.481681 0.098012 0.199066 0.475352 0.920324 0.854783 0.931102 0.998348 0.338959 0.000225 0.999039 0.731114
#> Iteration: 325 bestvalit: 35.740576 bestmemit: -6.414632 0.018777 0.013317 0.010887 -2.480668 0.098576 0.198909 0.470965 0.918985 0.843899 0.925491 0.999608 0.354261 0.000279 0.999589 0.913728
#> Iteration: 350 bestvalit: 35.738548 bestmemit: -7.796834 0.018752 0.013329 0.010895 -2.480250 0.098611 0.199015 0.472593 0.917844 0.846961 0.922486 0.999970 0.350098 0.000012 0.999773 0.981310
#> Iteration: 375 bestvalit: 35.738307 bestmemit: -8.678897 0.018777 0.013358 0.010901 -2.480463 0.098624 0.199641 0.473389 0.917610 0.849433 0.924017 0.999991 0.349071 0.000021 0.999944 0.659177
#> Iteration: 400 bestvalit: 35.738156 bestmemit: -8.164069 0.018760 0.013328 0.010883 -2.480287 0.098631 0.199698 0.472883 0.917693 0.847804 0.923632 0.999997 0.350049 0.000005 0.999996 0.565194
#> Iteration: 425 bestvalit: 35.738135 bestmemit: -8.771759 0.018767 0.013336 0.010886 -2.480388 0.098602 0.199747 0.473270 0.917595 0.847957 0.923446 1.000000 0.350504 0.000001 1.000000 0.725540
#> Iteration: 450 bestvalit: 35.738131 bestmemit: -8.921889 0.018764 0.013337 0.010884 -2.480352 0.098649 0.199852 0.473287 0.917591 0.848127 0.923468 1.000000 0.350265 0.000000 1.000000 0.586184
#> Iteration: 475 bestvalit: 35.738129 bestmemit: -8.659044 0.018761 0.013332 0.010881 -2.480321 0.098638 0.199757 0.473259 0.917616 0.848053 0.923511 1.000000 0.350359 0.000000 1.000000 0.855415
#> Iteration: 500 bestvalit: 35.738129 bestmemit: -8.620431 0.018761 0.013332 0.010881 -2.480318 0.098644 0.199782 0.473319 0.917623 0.848022 0.923478 1.000000 0.350353 0.000000 1.000000 0.861355
#> ... Finished Calibration.
#> Best solution: 35.7381287223556
#>
#> ... Doing Calibration Trial 17 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6206166312737
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 76.194151 bestmemit: -4.858539 0.011744 0.320338 0.134796 -2.435015 0.342111 0.194901 0.574752 0.775126 0.802416 0.544540 0.865503 0.062739 0.055831 0.195180 0.188225
#> Iteration: 50 bestvalit: 67.389824 bestmemit: -6.430230 0.219200 0.000783 -0.006161 -2.300096 0.305187 0.468841 0.212330 0.190609 0.840557 0.869402 0.461507 0.000316 0.017469 0.792789 0.615859
#> Iteration: 75 bestvalit: 67.389824 bestmemit: -6.430230 0.219200 0.000783 -0.006161 -2.300096 0.305187 0.468841 0.212330 0.190609 0.840557 0.869402 0.461507 0.000316 0.017469 0.792789 0.615859
#> Iteration: 100 bestvalit: 60.993680 bestmemit: -5.491946 0.258236 0.021210 0.009379 -2.544486 0.249297 0.433413 0.144407 0.473005 0.859764 0.726639 0.600138 0.019943 0.058592 0.935234 0.566406
#> Iteration: 125 bestvalit: 49.637836 bestmemit: -8.177972 0.014186 -0.281232 0.007932 -2.443541 0.289100 0.319419 0.336978 0.923705 0.515183 0.837789 0.210810 0.094781 0.059388 0.508026 0.687300
#> Iteration: 150 bestvalit: 49.637836 bestmemit: -8.177972 0.014186 -0.281232 0.007932 -2.443541 0.289100 0.319419 0.336978 0.923705 0.515183 0.837789 0.210810 0.094781 0.059388 0.508026 0.687300
#> ... Finished Calibration.
#> Best solution: 49.637836289148
#>
#> ... Doing Calibration Trial 18 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6206166312737
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 74.578582 bestmemit: -6.646639 -0.032466 0.012233 0.153742 -2.381731 0.614339 0.593987 0.612098 0.749507 0.926516 0.548367 0.228017 0.009207 0.443305 0.544742 0.763027
#> Iteration: 50 bestvalit: 57.823261 bestmemit: -5.559411 0.007417 0.004334 -0.321155 -2.354141 0.261033 0.629798 0.359275 0.958285 0.582466 0.517692 0.561383 0.089976 0.222642 0.355233 0.535378
#> Iteration: 75 bestvalit: 57.823261 bestmemit: -5.559411 0.007417 0.004334 -0.321155 -2.354141 0.261033 0.629798 0.359275 0.958285 0.582466 0.517692 0.561383 0.089976 0.222642 0.355233 0.535378
#> Iteration: 100 bestvalit: 48.557016 bestmemit: -7.230042 0.020850 0.017736 0.013311 -2.502165 0.253484 0.571915 0.136654 0.895451 0.649606 0.594183 0.653299 0.090730 0.205917 0.666112 0.478745
#> Iteration: 125 bestvalit: 42.170662 bestmemit: -6.573827 0.019134 0.010839 -0.140032 -2.480677 0.158647 0.490900 0.300593 0.908821 0.987723 0.473265 0.565355 0.198830 0.525269 0.732777 0.630924
#> Iteration: 150 bestvalit: 39.483557 bestmemit: -3.820788 0.019866 0.012486 0.098066 -2.489293 0.095988 0.360981 0.527962 0.880862 0.988304 0.481669 0.936782 0.184803 0.346998 0.528515 0.427614
#> Iteration: 175 bestvalit: 37.168587 bestmemit: -3.684629 0.015747 0.008949 -0.214479 -2.443902 0.121940 0.475842 0.182005 0.944500 0.996363 0.321217 0.976286 0.125035 0.351072 0.966470 0.543760
#> Iteration: 200 bestvalit: 36.642261 bestmemit: -4.260060 0.015745 0.008753 0.009522 -2.444866 0.121715 0.446019 0.331975 0.962907 0.998729 0.591633 0.419227 0.121252 0.360930 0.989664 0.448741
#> Iteration: 225 bestvalit: 36.372863 bestmemit: -3.920875 0.015567 0.008452 0.006017 -2.445591 0.128535 0.406249 0.097480 0.952463 0.979823 0.268479 0.138768 0.058193 0.618459 0.865155 0.493664
#> Iteration: 250 bestvalit: 35.920913 bestmemit: -4.356986 0.015630 0.008916 0.004742 -2.446387 0.116399 0.472453 0.053863 0.957483 0.993137 0.204254 0.395267 0.076098 0.736765 0.950490 0.529770
#> Iteration: 275 bestvalit: 35.552825 bestmemit: -5.157753 0.015538 0.009053 0.004452 -2.443719 0.126522 0.466966 0.052613 0.964892 0.956502 0.568306 0.372899 0.002755 0.869740 0.978380 0.488248
#> Iteration: 300 bestvalit: 35.330796 bestmemit: -5.099123 0.015549 0.008854 0.004158 -2.444636 0.121375 0.440395 0.050002 0.964909 0.952727 0.774064 0.467849 0.000629 0.911370 0.993022 0.564004
#> Iteration: 325 bestvalit: 35.286744 bestmemit: -4.755268 0.015737 0.008774 0.004097 -2.446169 0.119506 0.436403 0.050006 0.965443 0.946747 0.951500 0.457612 0.000335 0.922552 0.998531 0.738539
#> Iteration: 350 bestvalit: 35.261882 bestmemit: -4.912664 0.015882 0.008977 0.004356 -2.448574 0.117726 0.430606 0.050080 0.965365 0.951072 0.992344 0.443270 0.000060 0.931156 0.999117 0.327600
#> Iteration: 375 bestvalit: 35.257819 bestmemit: -5.539291 0.015964 0.009081 0.004456 -2.449499 0.117654 0.431493 0.050047 0.965331 0.951552 0.991335 0.454245 0.000052 0.931945 0.999574 0.606887
#> Iteration: 400 bestvalit: 35.255180 bestmemit: -6.155787 0.015945 0.009027 0.004411 -2.449343 0.118284 0.431125 0.050007 0.965058 0.951472 0.999246 0.451970 0.000027 0.932193 0.999882 0.025679
#> Iteration: 425 bestvalit: 35.254614 bestmemit: -6.346161 0.015966 0.009079 0.004440 -2.449582 0.118034 0.431737 0.050006 0.965259 0.951503 0.999449 0.447872 0.000013 0.932276 0.999975 0.865024
#> Iteration: 450 bestvalit: 35.254371 bestmemit: -7.282568 0.015957 0.009066 0.004417 -2.449460 0.118195 0.430999 0.050000 0.965030 0.951517 0.999156 0.445100 0.000005 0.932042 0.999958 0.919087
#> Iteration: 475 bestvalit: 35.254207 bestmemit: -8.691334 0.015949 0.009055 0.004403 -2.449375 0.118167 0.431229 0.050000 0.965101 0.951269 0.999976 0.448967 0.000000 0.932032 0.999993 0.320543
#> Iteration: 500 bestvalit: 35.254180 bestmemit: -9.213383 0.015959 0.009064 0.004416 -2.449505 0.118137 0.431099 0.050000 0.965115 0.951501 0.999917 0.447961 0.000001 0.932237 0.999999 0.106951
#> Iteration: 525 bestvalit: 35.254168 bestmemit: -9.788274 0.015955 0.009061 0.004416 -2.449459 0.118072 0.431295 0.050000 0.965125 0.951323 0.999997 0.447470 0.000000 0.932053 0.999999 0.759298
#> Iteration: 550 bestvalit: 35.254165 bestmemit: -9.122718 0.015955 0.009060 0.004416 -2.449456 0.118093 0.431057 0.050000 0.965107 0.951380 0.999997 0.447560 0.000000 0.932104 1.000000 0.764226
#> Iteration: 575 bestvalit: 35.254163 bestmemit: -9.161023 0.015955 0.009060 0.004416 -2.449467 0.118091 0.431141 0.050000 0.965103 0.951345 0.999999 0.447822 0.000000 0.932076 1.000000 0.484159
#> ... Finished Calibration.
#> Best solution: 35.2541632834337
#>
#> ... Doing Calibration Trial 19 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 31.6206166312737
#> - total population size: 160
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 77.307147 bestmemit: -6.884816 -0.343927 0.328764 -0.001402 -2.256499 0.488362 0.684713 0.702762 0.968663 0.738153 0.979022 0.495810 0.478594 0.010343 0.030651 0.063159
#> Iteration: 50 bestvalit: 62.275182 bestmemit: -4.521273 0.014594 0.141168 0.227637 -2.436737 0.453935 0.430953 0.680489 0.935007 0.487850 0.864848 0.169871 0.384841 0.035687 0.310848 0.853823
#> Iteration: 75 bestvalit: 56.140369 bestmemit: -3.204507 0.014566 0.127068 0.354502 -2.454444 0.405369 0.536282 0.461484 0.969124 0.608936 0.850687 0.498802 0.503864 0.185361 0.673290 0.948647
#> Iteration: 100 bestvalit: 45.108229 bestmemit: -3.931414 0.014893 0.196410 0.004239 -2.440673 0.223922 0.449889 0.340266 0.972484 0.798147 0.977593 0.483989 0.453334 0.150826 0.627486 0.299304
#> Iteration: 125 bestvalit: 41.616878 bestmemit: -3.598380 0.016036 0.179674 0.008820 -2.448505 0.123595 0.116184 0.576041 0.939007 0.466866 0.975430 0.760113 0.438788 0.177327 0.665382 0.082904
#> Iteration: 150 bestvalit: 38.802032 bestmemit: -6.607919 0.017289 0.118690 0.010966 -2.465155 0.143011 0.467565 0.438527 0.968864 0.898966 0.985737 0.104100 0.889267 0.039459 0.488402 0.190330
#> Iteration: 175 bestvalit: 37.790057 bestmemit: -3.706196 0.016168 0.011519 0.009397 -2.453902 0.125118 0.359960 0.457097 0.943505 0.569082 0.931695 0.427170 0.572810 0.136725 0.426272 0.265146
#> Iteration: 200 bestvalit: 37.092834 bestmemit: -7.778872 0.016324 0.006106 0.009345 -2.453079 0.112182 0.343238 0.363606 0.963750 0.572273 0.955773 0.451915 0.200807 0.126452 0.992369 0.527461
#> Iteration: 225 bestvalit: 36.299563 bestmemit: -5.741172 0.016672 0.010001 0.009165 -2.457697 0.113451 0.237915 0.473245 0.947976 0.414846 0.963957 0.876779 0.576659 0.010065 0.862995 0.191159
#> Iteration: 250 bestvalit: 35.700412 bestmemit: -7.444671 0.015503 0.003605 0.009021 -2.442956 0.117841 0.050523 0.479629 0.963221 0.461954 0.964714 0.559391 0.835264 0.036102 0.987593 0.429005
#> Iteration: 275 bestvalit: 35.394705 bestmemit: -5.235869 0.015715 0.004287 0.008879 -2.447156 0.119310 0.050202 0.480354 0.967941 0.556323 0.954595 0.504234 0.884386 0.001261 0.994436 0.401975
#> Iteration: 300 bestvalit: 35.302751 bestmemit: -6.129187 0.016034 0.004456 0.009140 -2.450229 0.118832 0.050362 0.448415 0.962733 0.852659 0.945242 0.593775 0.907995 0.000898 0.996160 0.670473
#> Iteration: 325 bestvalit: 35.273413 bestmemit: -5.587262 0.015959 0.004384 0.009101 -2.449596 0.118167 0.050035 0.440319 0.965466 0.937736 0.947216 0.556532 0.921834 0.000583 0.995802 0.706926
#> Iteration: 350 bestvalit: 35.261458 bestmemit: -5.586281 0.016016 0.004442 0.009070 -2.450038 0.118146 0.050071 0.434061 0.964584 0.980323 0.951426 0.558151 0.929996 0.000032 0.998213 0.372910
#> Iteration: 375 bestvalit: 35.256635 bestmemit: -6.894178 0.016005 0.004512 0.009109 -2.450102 0.117893 0.050001 0.426562 0.964987 0.994354 0.951314 0.549151 0.931488 0.000081 0.999909 0.938680
#> Iteration: 400 bestvalit: 35.255193 bestmemit: -7.186136 0.015972 0.004445 0.009068 -2.449723 0.117861 0.050003 0.429624 0.964987 0.997602 0.951459 0.550340 0.931970 0.000002 0.999515 0.847692
#> Iteration: 425 bestvalit: 35.254463 bestmemit: -7.241096 0.015942 0.004407 0.009040 -2.449266 0.117988 0.050001 0.431161 0.964845 0.999844 0.951344 0.552802 0.931898 0.000018 0.999961 0.538756
#> Iteration: 450 bestvalit: 35.254275 bestmemit: -7.585260 0.015946 0.004404 0.009053 -2.449336 0.118233 0.050001 0.431461 0.965118 0.999930 0.951183 0.552332 0.931908 0.000004 0.999983 0.392850
#> Iteration: 475 bestvalit: 35.254196 bestmemit: -8.315079 0.015953 0.004408 0.009056 -2.449437 0.118110 0.050000 0.431053 0.965094 0.999923 0.951087 0.552184 0.931807 0.000000 0.999989 0.160778
#> Iteration: 500 bestvalit: 35.254177 bestmemit: -8.068167 0.015955 0.004416 0.009061 -2.449460 0.118117 0.050000 0.431276 0.965147 0.999959 0.951284 0.552760 0.932015 0.000000 0.999998 0.246128
#> Iteration: 525 bestvalit: 35.254169 bestmemit: -8.194459 0.015956 0.004418 0.009060 -2.449483 0.118074 0.050000 0.431178 0.965113 0.999991 0.951359 0.551785 0.932108 0.000001 1.000000 0.198271
#> Iteration: 550 bestvalit: 35.254165 bestmemit: -8.126275 0.015957 0.004418 0.009061 -2.449488 0.118109 0.050000 0.431071 0.965092 0.999999 0.951335 0.552474 0.932049 0.000000 1.000000 0.051451
#> Iteration: 575 bestvalit: 35.254163 bestmemit: -8.088218 0.015956 0.004416 0.009061 -2.449472 0.118106 0.050000 0.431161 0.965118 0.999997 0.951367 0.552202 0.932105 0.000000 1.000000 0.396620
#> Iteration: 600 bestvalit: 35.254163 bestmemit: -8.098903 0.015955 0.004416 0.009060 -2.449466 0.118100 0.050000 0.431148 0.965105 0.999999 0.951363 0.552305 0.932091 0.000000 1.000000 0.739027
#> ... Finished Calibration.
#> Best solution: 35.2541630621411
#> Warning: Best solution was > reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.3State.truc.normal.boxcox.AR1.a0std
#> Reference model name for maximum acceptable calib. solution: model.3State.truc.normal.boxcox.AR0.a0std
#> Reference model maximum acceptable calib. solution: 31.656729235082
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 170
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 86.694112 bestmemit: -9.523733 -0.001929 -0.282968 0.090896 -2.490190 0.383100 0.482362 0.717901 0.527118 0.695734 0.783943 0.970943 0.396957 0.287830 0.001947 0.042180 0.029502
#> Iteration: 50 bestvalit: 63.781893 bestmemit: -5.288081 0.007637 -0.475374 0.301834 -2.452882 0.121586 0.389367 0.490844 0.445225 0.846164 0.882777 0.586745 0.418388 0.361499 0.154580 0.047116 0.287307
#> Iteration: 75 bestvalit: 54.368506 bestmemit: -3.962767 0.010643 0.146934 -0.398508 -2.548945 0.235694 0.490439 0.401141 0.385899 0.986640 0.927444 0.585758 0.771218 0.276851 0.150395 0.487494 0.877217
#> Iteration: 100 bestvalit: 45.385975 bestmemit: -4.573459 0.006804 -0.424727 -0.001226 -2.477074 0.215465 0.273517 0.341457 0.622349 0.961009 0.926932 0.735794 0.408922 0.495257 0.054391 0.556408 0.579421
#> Iteration: 125 bestvalit: 35.421257 bestmemit: -4.287135 0.009058 0.435161 0.003918 -2.434842 0.125831 0.089652 0.314412 0.200520 0.933702 0.804017 0.986136 0.333930 0.438326 0.250000 0.288085 0.635675
#> Iteration: 150 bestvalit: 33.098328 bestmemit: -4.215379 0.009257 0.296517 0.001867 -2.436875 0.122112 0.085845 0.298910 0.260113 0.937882 0.784606 0.953545 0.306642 0.467986 0.207399 0.328158 0.604708
#> Iteration: 175 bestvalit: 30.086098 bestmemit: -3.893730 0.007253 -0.006103 0.000989 -2.454690 0.193173 0.089494 0.274388 0.275045 0.946387 0.295026 0.965122 0.227932 0.504488 0.099917 0.713576 0.663752
#> Iteration: 200 bestvalit: 28.596531 bestmemit: -4.253736 0.007847 0.005063 0.002268 -2.454525 0.177467 0.080671 0.360066 0.370975 0.957056 0.090214 0.972246 0.293785 0.485656 0.115568 0.776994 0.539280
#> Iteration: 225 bestvalit: 27.821026 bestmemit: -6.150928 0.008643 -0.000209 0.002735 -2.450166 0.150366 0.096192 0.067029 0.374848 0.963398 0.404843 0.970210 0.330097 0.672382 0.017568 0.890791 0.944573
#> Iteration: 250 bestvalit: 27.052145 bestmemit: -5.588539 0.007965 0.000473 0.002423 -2.449121 0.165072 0.084941 0.067572 0.313219 0.966228 0.321265 0.992500 0.543017 0.878766 0.010853 0.928819 0.239872
#> Iteration: 275 bestvalit: 26.733711 bestmemit: -5.029148 0.007180 -0.000987 0.001503 -2.446162 0.176454 0.093160 0.053130 0.310397 0.972923 0.339384 0.997302 0.532746 0.920569 0.005282 0.989682 0.226897
#> Iteration: 300 bestvalit: 26.584721 bestmemit: -5.589840 0.007474 -0.000818 0.001941 -2.445889 0.170034 0.089271 0.051319 0.322442 0.964954 0.427511 0.998765 0.616944 0.907780 0.003009 0.999267 0.296585
#> Iteration: 325 bestvalit: 26.525524 bestmemit: -5.927302 0.007542 -0.000752 0.001953 -2.446331 0.169029 0.089320 0.051714 0.341695 0.967222 0.608548 0.998797 0.613982 0.961406 0.000087 0.993511 0.258456
#> Iteration: 350 bestvalit: 26.495292 bestmemit: -5.731159 0.007563 -0.000888 0.002002 -2.447455 0.169869 0.090200 0.050016 0.329307 0.966225 0.708264 0.999780 0.617940 0.965125 0.000271 0.999625 0.081632
#> Iteration: 375 bestvalit: 26.487472 bestmemit: -6.352812 0.007581 -0.000795 0.001973 -2.446883 0.169384 0.090300 0.050009 0.333246 0.965381 0.729091 0.999746 0.614996 0.964500 0.000007 0.998236 0.537283
#> Iteration: 400 bestvalit: 26.482391 bestmemit: -7.049187 0.007477 -0.000859 0.001890 -2.446526 0.170834 0.090308 0.050043 0.332749 0.966706 0.712680 0.999985 0.611955 0.966441 0.000082 0.999883 0.696157
#> Iteration: 425 bestvalit: 26.480580 bestmemit: -7.225766 0.007474 -0.000880 0.001890 -2.446571 0.170967 0.090317 0.050021 0.334126 0.965887 0.607296 0.999975 0.614940 0.965362 0.000044 0.999981 0.466765
#> Iteration: 450 bestvalit: 26.479859 bestmemit: -7.426886 0.007453 -0.000904 0.001881 -2.446202 0.170888 0.090369 0.050013 0.333957 0.965976 0.612984 0.999989 0.609797 0.965860 0.000011 0.999852 0.660222
#> Iteration: 475 bestvalit: 26.479508 bestmemit: -7.417995 0.007445 -0.000928 0.001874 -2.446283 0.171170 0.090395 0.050000 0.333158 0.965948 0.623532 0.999997 0.611622 0.965875 0.000002 0.999946 0.080758
#> Iteration: 500 bestvalit: 26.479258 bestmemit: -8.070521 0.007479 -0.000898 0.001904 -2.446455 0.170740 0.090396 0.050001 0.333047 0.966005 0.610352 1.000000 0.610293 0.965988 0.000002 0.999955 0.886238
#> Iteration: 525 bestvalit: 26.479132 bestmemit: -8.425344 0.007466 -0.000901 0.001901 -2.446402 0.170870 0.090439 0.050000 0.333463 0.966090 0.611192 0.999999 0.610867 0.966088 0.000000 0.999999 0.696599
#> Iteration: 550 bestvalit: 26.479111 bestmemit: -8.434244 0.007463 -0.000908 0.001896 -2.446357 0.170844 0.090409 0.050000 0.333378 0.966003 0.612119 0.999999 0.612091 0.966001 0.000000 0.999997 0.465484
#> Iteration: 575 bestvalit: 26.479102 bestmemit: -8.766274 0.007467 -0.000900 0.001901 -2.446395 0.170830 0.090391 0.050000 0.333270 0.965988 0.611809 1.000000 0.611757 0.965985 0.000000 0.999999 0.138240
#> Iteration: 600 bestvalit: 26.479097 bestmemit: -8.629736 0.007465 -0.000904 0.001898 -2.446378 0.170844 0.090449 0.050000 0.333277 0.966024 0.611954 1.000000 0.611913 0.966022 0.000000 0.999999 0.569880
#> Iteration: 625 bestvalit: 26.479093 bestmemit: -9.074957 0.007466 -0.000902 0.001899 -2.446376 0.170822 0.090432 0.050000 0.333238 0.966022 0.612074 1.000000 0.612043 0.966022 0.000000 1.000000 0.910082
#> Iteration: 650 bestvalit: 26.479092 bestmemit: -8.975946 0.007467 -0.000902 0.001900 -2.446385 0.170812 0.090426 0.050000 0.333283 0.966023 0.611993 1.000000 0.611982 0.966023 0.000000 1.000000 0.657642
#> Iteration: 675 bestvalit: 26.479092 bestmemit: -9.072964 0.007466 -0.000901 0.001900 -2.446396 0.170838 0.090422 0.050000 0.333254 0.966019 0.611904 1.000000 0.611900 0.966019 0.000000 1.000000 0.894751
#> ... Finished Calibration.
#> Best solution: 26.479091613044
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.479091613044
#> - total population size: 170
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 58.725110 bestmemit: -5.340401 -0.033340 -0.001180 0.012616 -2.438970 0.079193 0.362044 0.578518 0.190293 0.939032 0.900907 0.818681 0.295003 0.052089 0.057647 0.294699 0.855168
#> Iteration: 50 bestvalit: 41.721380 bestmemit: -4.220447 0.002148 -0.001204 0.007235 -2.419318 0.110630 0.355509 0.576536 0.173719 0.755927 0.841537 0.902191 0.245090 0.164656 0.094854 0.372449 0.739017
#> Iteration: 75 bestvalit: 29.397941 bestmemit: -3.777230 -0.000355 0.002464 0.005143 -2.444785 0.214296 0.330182 0.589825 0.071339 0.716302 0.765624 0.927616 0.174461 0.304033 0.009836 0.210553 0.943081
#> Iteration: 100 bestvalit: 26.969180 bestmemit: -4.287526 -0.000772 0.006988 0.004148 -2.450243 0.243228 0.300007 0.586012 0.084567 0.849571 0.750883 0.999697 0.123368 0.279126 0.058237 0.004738 0.725718
#> Iteration: 125 bestvalit: 26.587066 bestmemit: -4.518612 -0.000389 0.007747 0.004590 -2.450902 0.235207 0.308357 0.592963 0.081498 0.919706 0.763406 0.999963 0.195130 0.280746 0.035546 0.011141 0.801918
#> Iteration: 150 bestvalit: 26.108835 bestmemit: -5.377517 -0.000480 0.008251 0.004490 -2.450298 0.236294 0.305128 0.594610 0.085428 0.934187 0.770775 0.999240 0.163776 0.000368 0.031642 0.007504 0.883563
#> Iteration: 175 bestvalit: 26.034293 bestmemit: -5.268794 -0.000673 0.007537 0.004281 -2.450005 0.239555 0.291542 0.593874 0.081605 0.926250 0.762533 0.999366 0.133112 0.001426 0.034690 0.004769 0.869652
#> Iteration: 200 bestvalit: 25.915430 bestmemit: -5.865771 -0.000356 0.007152 0.004735 -2.451049 0.231085 0.290869 0.594982 0.080911 0.917663 0.750465 0.999982 0.060906 0.000891 0.034164 0.003132 0.968734
#> Iteration: 225 bestvalit: 25.855866 bestmemit: -5.714150 -0.000571 0.006818 0.004537 -2.449307 0.233107 0.296654 0.586265 0.083032 0.915284 0.744521 0.999985 0.055161 0.000375 0.036706 0.003289 0.998476
#> Iteration: 250 bestvalit: 25.813014 bestmemit: -5.976328 -0.000651 0.006878 0.004402 -2.448928 0.235895 0.284442 0.598393 0.078888 0.908356 0.753546 0.999999 0.026192 0.000121 0.040305 0.019727 0.999995
#> Iteration: 275 bestvalit: 25.803929 bestmemit: -6.034725 -0.000723 0.007037 0.004311 -2.448301 0.237075 0.285810 0.599649 0.079647 0.913037 0.757595 0.999976 0.030903 0.000060 0.040024 0.019381 0.999939
#> Iteration: 300 bestvalit: 25.788093 bestmemit: -6.549537 -0.000593 0.007637 0.004470 -2.448822 0.234692 0.286463 0.609095 0.080758 0.910582 0.767249 0.999897 0.009343 0.000025 0.041583 0.017032 0.999804
#> Iteration: 325 bestvalit: 25.761265 bestmemit: -6.946400 -0.000663 0.007865 0.004367 -2.449490 0.237174 0.295048 0.610447 0.079710 0.908315 0.774124 0.999724 0.000744 0.000016 0.043237 0.010005 0.998825
#> Iteration: 350 bestvalit: 25.736120 bestmemit: -6.852144 -0.000907 0.007793 0.004100 -2.448332 0.240940 0.295965 0.610289 0.078985 0.912001 0.777090 0.999631 0.000317 0.000011 0.040927 0.000298 0.999927
#> Iteration: 375 bestvalit: 25.731392 bestmemit: -6.685825 -0.000809 0.007680 0.004194 -2.448855 0.239934 0.298763 0.605338 0.079468 0.914239 0.772250 0.999633 0.001624 0.000156 0.038981 0.000018 0.999990
#> Iteration: 400 bestvalit: 25.729200 bestmemit: -6.616426 -0.000784 0.007591 0.004208 -2.449124 0.240068 0.298645 0.603090 0.079316 0.916333 0.770078 0.999622 0.000012 0.000207 0.038628 0.000003 0.999930
#> Iteration: 425 bestvalit: 25.728888 bestmemit: -6.628903 -0.000801 0.007631 0.004190 -2.448990 0.240253 0.297960 0.604128 0.079436 0.916985 0.771159 0.999627 0.000011 0.000212 0.038415 0.000036 0.999999
#> Iteration: 450 bestvalit: 25.728727 bestmemit: -6.610551 -0.000798 0.007625 0.004191 -2.449121 0.240428 0.298038 0.603807 0.079340 0.917329 0.771058 0.999634 0.000001 0.000248 0.038534 0.000004 0.999998
#> Iteration: 475 bestvalit: 25.723367 bestmemit: -5.946857 -0.000760 0.007662 0.004202 -2.449111 0.240278 0.296062 0.604659 0.079774 0.916637 0.771629 0.999999 0.000000 0.001572 0.037858 0.000001 0.999940
#> Iteration: 500 bestvalit: 25.721734 bestmemit: -6.003126 -0.000796 0.007702 0.004189 -2.449056 0.240374 0.298306 0.604999 0.079381 0.916970 0.773129 1.000000 0.000004 0.001572 0.038251 0.000035 0.999969
#> Iteration: 525 bestvalit: 25.721561 bestmemit: -5.970272 -0.000807 0.007683 0.004177 -2.449004 0.240525 0.298533 0.604506 0.079400 0.916813 0.772822 1.000000 0.000007 0.001586 0.038293 0.000066 0.999999
#> Iteration: 550 bestvalit: 25.719875 bestmemit: -5.537244 -0.000795 0.007768 0.004181 -2.449270 0.240659 0.298417 0.603019 0.079596 0.917863 0.773367 1.000000 0.000026 0.002097 0.037934 0.000231 0.999878
#> Iteration: 575 bestvalit: 25.717966 bestmemit: -5.044817 -0.000794 0.007804 0.004194 -2.449071 0.240278 0.298673 0.601403 0.079380 0.916646 0.773502 1.000000 0.000058 0.002590 0.038402 0.000456 0.999779
#> Iteration: 600 bestvalit: 25.717920 bestmemit: -5.068489 -0.000790 0.007815 0.004197 -2.449094 0.240261 0.298389 0.601751 0.079386 0.916609 0.773732 1.000000 0.000054 0.002564 0.038516 0.000390 0.999778
#> Iteration: 625 bestvalit: 25.717587 bestmemit: -5.018575 -0.000797 0.007824 0.004192 -2.449081 0.240337 0.298478 0.601686 0.079309 0.916643 0.774005 1.000000 0.000029 0.002648 0.038479 0.000000 0.999738
#> Iteration: 650 bestvalit: 25.717572 bestmemit: -5.019795 -0.000799 0.007819 0.004190 -2.449074 0.240371 0.298525 0.601585 0.079354 0.916361 0.773874 1.000000 0.000029 0.002634 0.038547 0.000001 0.999741
#> Iteration: 675 bestvalit: 25.717233 bestmemit: -5.006060 -0.000797 0.007807 0.004201 -2.449041 0.240065 0.298812 0.601063 0.079503 0.916630 0.773258 1.000000 0.000009 0.002532 0.038249 0.000032 0.999957
#> Iteration: 700 bestvalit: 25.717010 bestmemit: -5.003688 -0.000799 0.007809 0.004195 -2.449080 0.240290 0.298430 0.601250 0.079379 0.916467 0.773524 1.000000 0.000005 0.002502 0.038542 0.000026 0.999999
#> Iteration: 725 bestvalit: 25.716913 bestmemit: -5.003770 -0.000806 0.007839 0.004185 -2.448990 0.240349 0.298615 0.601781 0.079369 0.916347 0.774314 1.000000 0.000003 0.002513 0.038509 0.000000 0.999999
#> Iteration: 750 bestvalit: 25.716688 bestmemit: -4.977499 -0.000803 0.007819 0.004188 -2.448978 0.240271 0.298353 0.601344 0.079390 0.916502 0.773747 1.000000 0.000001 0.002498 0.038588 0.000000 0.999991
#> Iteration: 775 bestvalit: 25.716663 bestmemit: -4.980708 -0.000799 0.007836 0.004192 -2.449051 0.240295 0.298588 0.601456 0.079417 0.916341 0.773975 1.000000 0.000000 0.002504 0.038554 0.000001 0.999991
#> Iteration: 800 bestvalit: 25.716621 bestmemit: -4.988309 -0.000795 0.007829 0.004196 -2.449102 0.240307 0.298912 0.601207 0.079408 0.916363 0.773772 1.000000 0.000000 0.002493 0.038507 0.000003 1.000000
#> Iteration: 825 bestvalit: 25.716535 bestmemit: -4.961532 -0.000798 0.007854 0.004195 -2.449124 0.240336 0.298973 0.601434 0.079330 0.916564 0.774297 1.000000 0.000000 0.002532 0.038562 0.000010 1.000000
#> Iteration: 850 bestvalit: 25.715829 bestmemit: -5.008805 -0.000781 0.007891 0.004218 -2.449262 0.240001 0.299516 0.601685 0.079180 0.917419 0.774517 1.000000 0.000000 0.002448 0.038864 0.000095 1.000000
#> Iteration: 875 bestvalit: 25.712869 bestmemit: -5.248241 -0.000827 0.007717 0.004169 -2.448818 0.240373 0.299997 0.600775 0.079146 0.916891 0.771330 1.000000 0.000000 0.001979 0.038703 0.000315 1.000000
#> Iteration: 900 bestvalit: 25.712530 bestmemit: -5.408450 -0.000822 0.007762 0.004174 -2.448866 0.240392 0.299421 0.602356 0.079335 0.917050 0.772136 1.000000 0.000000 0.001810 0.038620 0.000358 1.000000
#> Iteration: 925 bestvalit: 25.712464 bestmemit: -5.472521 -0.000810 0.007769 0.004184 -2.449015 0.240410 0.299847 0.602440 0.079362 0.916909 0.772063 1.000000 0.000000 0.001741 0.038590 0.000379 1.000000
#> Iteration: 950 bestvalit: 25.712308 bestmemit: -5.492705 -0.000814 0.007754 0.004174 -2.449003 0.240528 0.298635 0.602794 0.079470 0.916693 0.771748 1.000000 0.000000 0.001685 0.038502 0.000388 1.000000
#> Iteration: 975 bestvalit: 25.712300 bestmemit: -5.486456 -0.000814 0.007757 0.004174 -2.449006 0.240531 0.298685 0.602753 0.079494 0.916682 0.771775 1.000000 0.000000 0.001690 0.038524 0.000387 1.000000
#> Iteration: 1000 bestvalit: 25.712298 bestmemit: -5.482272 -0.000813 0.007760 0.004175 -2.449018 0.240531 0.298680 0.602774 0.079482 0.916652 0.771833 1.000000 0.000000 0.001697 0.038545 0.000385 1.000000
#> Iteration: 1025 bestvalit: 25.712271 bestmemit: -5.504233 -0.000815 0.007750 0.004175 -2.449041 0.240586 0.298625 0.602728 0.079431 0.916763 0.771708 1.000000 0.000000 0.001671 0.038562 0.000386 0.999998
#> Iteration: 1050 bestvalit: 25.712099 bestmemit: -5.546921 -0.000818 0.007754 0.004168 -2.448944 0.240572 0.298857 0.602614 0.079497 0.916988 0.771828 1.000000 0.000000 0.001625 0.038604 0.000377 0.999991
#> Iteration: 1075 bestvalit: 25.712076 bestmemit: -5.523252 -0.000814 0.007762 0.004175 -2.448968 0.240481 0.298756 0.602715 0.079456 0.916760 0.771944 1.000000 0.000000 0.001661 0.038564 0.000364 0.999991
#> Iteration: 1100 bestvalit: 25.712068 bestmemit: -5.516358 -0.000815 0.007756 0.004174 -2.448975 0.240504 0.298782 0.602592 0.079472 0.916570 0.771802 1.000000 0.000000 0.001661 0.038566 0.000362 0.999990
#> Iteration: 1125 bestvalit: 25.712054 bestmemit: -5.545649 -0.000815 0.007755 0.004174 -2.449004 0.240550 0.298919 0.602607 0.079483 0.916759 0.771764 1.000000 0.000000 0.001635 0.038457 0.000366 0.999989
#> Iteration: 1150 bestvalit: 25.711649 bestmemit: -5.812369 -0.000784 0.007754 0.004203 -2.449118 0.240163 0.299881 0.602273 0.079359 0.917156 0.771439 1.000000 0.000005 0.001446 0.038377 0.000194 0.999935
#> Iteration: 1175 bestvalit: 25.710915 bestmemit: -5.892312 -0.000795 0.007764 0.004193 -2.448983 0.240135 0.299230 0.602240 0.079471 0.916776 0.771681 1.000000 0.000010 0.001410 0.038587 0.000000 0.999888
#> Iteration: 1200 bestvalit: 25.710823 bestmemit: -5.811255 -0.000811 0.007744 0.004177 -2.449030 0.240518 0.298902 0.601770 0.079499 0.916572 0.771384 1.000000 0.000009 0.001473 0.038575 0.000000 0.999892
#> Iteration: 1225 bestvalit: 25.710814 bestmemit: -5.778468 -0.000817 0.007745 0.004170 -2.448982 0.240582 0.298884 0.601719 0.079500 0.916714 0.771516 1.000000 0.000009 0.001511 0.038556 0.000000 0.999894
#> Iteration: 1250 bestvalit: 25.710809 bestmemit: -5.781532 -0.000819 0.007740 0.004167 -2.448982 0.240624 0.298844 0.601655 0.079500 0.916761 0.771439 1.000000 0.000009 0.001504 0.038552 0.000000 0.999894
#> Iteration: 1275 bestvalit: 25.710792 bestmemit: -5.809935 -0.000829 0.007730 0.004157 -2.448949 0.240776 0.298750 0.601639 0.079522 0.916815 0.771357 1.000000 0.000009 0.001467 0.038514 0.000000 0.999892
#> Iteration: 1300 bestvalit: 25.710486 bestmemit: -5.908092 -0.000861 0.007656 0.004120 -2.448935 0.241450 0.298664 0.599828 0.079452 0.916728 0.770233 1.000000 0.000012 0.001294 0.038615 0.000008 0.999887
#> Iteration: 1325 bestvalit: 25.700816 bestmemit: -6.349640 -0.000874 0.007505 0.004108 -2.448892 0.241752 0.299117 0.579667 0.079215 0.919645 0.765907 1.000000 0.000054 0.000524 0.038355 0.000139 0.999967
#> Iteration: 1350 bestvalit: 25.639331 bestmemit: -8.651075 -0.000537 0.007968 0.004421 -2.451057 0.238607 0.305522 0.455518 0.079235 0.911201 0.759209 0.999997 0.000539 0.000467 0.039382 0.001489 1.000000
#> Iteration: 1375 bestvalit: 25.600906 bestmemit: -9.068784 -0.000606 0.007964 0.004457 -2.448581 0.234135 0.298912 0.357471 0.079080 0.914607 0.751020 0.999995 0.000942 0.000725 0.038760 0.002621 0.999995
#> Iteration: 1400 bestvalit: 25.599120 bestmemit: -8.947858 -0.000630 0.007927 0.004408 -2.448240 0.234571 0.298043 0.357914 0.079023 0.915873 0.751115 0.999995 0.000940 0.000004 0.038656 0.002610 0.999996
#> Iteration: 1425 bestvalit: 25.599059 bestmemit: -9.336700 -0.000632 0.007926 0.004406 -2.448301 0.234709 0.298117 0.358222 0.078977 0.915359 0.751178 0.999995 0.000939 0.000001 0.038629 0.002607 0.999997
#> Iteration: 1450 bestvalit: 25.599054 bestmemit: -9.582755 -0.000633 0.007923 0.004403 -2.448270 0.234713 0.298260 0.358356 0.078997 0.915306 0.751171 0.999995 0.000938 0.000000 0.038633 0.002604 0.999996
#> Iteration: 1475 bestvalit: 25.599053 bestmemit: -8.156671 -0.000635 0.007922 0.004402 -2.448271 0.234752 0.298239 0.358464 0.079002 0.915308 0.751171 0.999995 0.000937 0.000000 0.038627 0.002603 0.999997
#> Iteration: 1500 bestvalit: 25.599046 bestmemit: -8.338224 -0.000634 0.007923 0.004403 -2.448271 0.234730 0.298284 0.358294 0.078991 0.915269 0.751168 0.999995 0.000937 0.000000 0.038630 0.002602 1.000000
#> Iteration: 1525 bestvalit: 25.599046 bestmemit: -9.063715 -0.000633 0.007923 0.004403 -2.448270 0.234725 0.298283 0.358355 0.078998 0.915305 0.751167 0.999995 0.000937 0.000000 0.038622 0.002601 1.000000
#> ... Finished Calibration.
#> Best solution: 25.5990458014159
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 25.5990458014159
#> - total population size: 170
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 63.458474 bestmemit: -8.435329 0.008030 -0.301743 -0.110368 -2.534204 0.236548 0.259307 0.447963 0.575589 0.848058 0.989443 0.878148 0.401954 0.290712 0.123560 0.465485 0.055905
#> Iteration: 50 bestvalit: 46.177372 bestmemit: -4.867904 0.003132 -0.154720 -0.066764 -2.434415 0.205355 0.246054 0.396158 0.520331 0.996749 0.774269 0.897082 0.382371 0.326843 0.165464 0.362296 0.452139
#> Iteration: 75 bestvalit: 31.900553 bestmemit: -7.083146 0.006102 -0.213194 0.001409 -2.427141 0.159732 0.116303 0.269238 0.423379 0.979443 0.761144 0.999166 0.806554 0.227094 0.090992 0.790144 0.863899
#> Iteration: 100 bestvalit: 28.236011 bestmemit: -8.459829 0.007855 -0.257155 0.002121 -2.449412 0.167540 0.095609 0.296773 0.339277 0.964691 0.417222 0.999558 0.006626 0.189128 0.065727 0.988046 0.252842
#> Iteration: 125 bestvalit: 28.131105 bestmemit: -9.355195 0.007383 -0.230966 0.001754 -2.444144 0.169509 0.092980 0.222428 0.320118 0.965597 0.398209 0.999534 0.000560 0.230541 0.078783 0.999988 0.151460
#> Iteration: 150 bestvalit: 28.112344 bestmemit: -9.478154 0.007525 -0.231211 0.001934 -2.444624 0.166838 0.091731 0.327350 0.328834 0.964490 0.298750 0.999990 0.000071 0.244232 0.084352 0.999765 0.115897
#> Iteration: 175 bestvalit: 28.111236 bestmemit: -9.363914 0.007466 -0.231844 0.001874 -2.444106 0.167246 0.091799 0.543140 0.328440 0.964400 0.301103 0.999999 0.000000 0.243165 0.084078 0.999976 0.139963
#> Iteration: 200 bestvalit: 28.111073 bestmemit: -9.382568 0.007455 -0.231165 0.001859 -2.443866 0.167138 0.091735 0.377757 0.328865 0.964192 0.296341 1.000000 0.000000 0.245741 0.084910 1.000000 0.149591
#> Iteration: 225 bestvalit: 28.111062 bestmemit: -9.398159 0.007455 -0.230957 0.001863 -2.443879 0.167159 0.091760 0.159487 0.328638 0.964224 0.297957 1.000000 0.000000 0.246003 0.084980 1.000000 0.145912
#> Iteration: 250 bestvalit: 28.111061 bestmemit: -9.395699 0.007455 -0.231017 0.001862 -2.443883 0.167168 0.091759 0.184932 0.328629 0.964216 0.298161 1.000000 0.000000 0.245856 0.084931 1.000000 0.146815
#> ... Finished Calibration.
#> Best solution: 28.1110609943783
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 25.5990458014159
#> - total population size: 170
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 91.981574 bestmemit: -7.734906 0.049763 -0.421681 0.208299 -3.819378 -0.131671 0.689878 0.356391 0.489111 0.983698 0.712657 0.813264 0.352457 0.409245 0.205027 0.853598 0.103200
#> Iteration: 50 bestvalit: 67.745132 bestmemit: -6.254969 0.024529 0.193212 0.212053 -2.536184 -0.091463 0.682980 0.396420 0.360637 0.917470 0.875642 0.752308 0.598483 0.279787 0.386266 0.515685 0.467045
#> Iteration: 75 bestvalit: 49.222373 bestmemit: -7.118927 0.008255 0.193965 -0.072479 -2.476282 0.174415 0.388926 0.569351 0.085354 0.973294 0.971998 0.372974 0.268743 0.463634 0.507861 0.809428 0.819722
#> Iteration: 100 bestvalit: 42.872470 bestmemit: -5.112178 0.005683 -0.001060 -0.113447 -2.390005 0.094796 0.202128 0.170924 0.390269 0.904651 0.980715 0.198018 0.913367 0.120412 0.651590 0.217843 0.196704
#> Iteration: 125 bestvalit: 39.715392 bestmemit: -7.264272 0.004749 -0.001504 0.085564 -2.414384 0.147157 0.204618 0.224811 0.402420 0.932767 0.918947 0.467963 0.784331 0.198581 0.555981 0.748132 0.216849
#> Iteration: 150 bestvalit: 32.737929 bestmemit: -9.682840 0.008534 0.000990 0.104621 -2.442762 0.139918 0.092966 0.682513 0.673835 0.921424 0.986945 0.367212 0.862755 0.165141 0.494669 0.546337 0.695151
#> Iteration: 175 bestvalit: 29.921588 bestmemit: -5.207652 0.008257 0.001967 -0.292379 -2.433419 0.136765 0.099024 0.281440 0.522921 0.969449 0.974374 0.164482 0.907593 0.116537 0.309768 0.784385 0.660446
#> Iteration: 200 bestvalit: 28.434027 bestmemit: -4.997410 0.007177 0.001517 -0.305609 -2.436239 0.162446 0.096385 0.316288 0.625823 0.968877 0.996690 0.598432 0.977607 0.072806 0.495258 0.924972 0.763109
#> Iteration: 225 bestvalit: 28.172833 bestmemit: -6.423661 0.007424 0.002159 0.003352 -2.440430 0.163415 0.092606 0.367939 0.491298 0.956728 0.995656 0.318875 0.845195 0.071552 0.733942 0.995488 0.660684
#> Iteration: 250 bestvalit: 27.862183 bestmemit: -4.823026 0.008026 0.002286 0.015318 -2.448436 0.162652 0.088497 0.301153 0.356593 0.956664 0.999115 0.155150 0.972983 0.109456 0.816963 0.872051 0.180072
#> Iteration: 275 bestvalit: 27.755468 bestmemit: -7.061385 0.007285 0.001573 0.012967 -2.440776 0.167116 0.089935 0.311671 0.296507 0.960411 0.996958 0.585310 0.988519 0.082373 0.813541 0.867678 0.282016
#> Iteration: 300 bestvalit: 27.394611 bestmemit: -8.430692 0.007592 0.001847 0.003209 -2.449388 0.173223 0.087532 0.323397 0.299403 0.957336 0.996678 0.680979 0.368265 0.023458 0.917092 0.825503 0.409972
#> Iteration: 325 bestvalit: 26.944046 bestmemit: -7.813600 0.007659 0.002262 -0.001002 -2.446831 0.167078 0.095037 0.344419 0.058055 0.956176 0.995178 0.741610 0.316914 0.001138 0.946893 0.819910 0.488687
#> Iteration: 350 bestvalit: 26.765369 bestmemit: -7.848669 0.007453 0.001925 -0.001188 -2.445606 0.169387 0.090972 0.348687 0.051419 0.961835 0.995522 0.806684 0.404012 0.000295 0.960000 0.827555 0.414564
#> Iteration: 375 bestvalit: 26.553037 bestmemit: -7.304039 0.007651 0.002005 -0.000750 -2.447563 0.169057 0.089386 0.343315 0.050214 0.967338 0.995611 0.957461 0.391157 0.000639 0.961756 0.996198 0.016186
#> Iteration: 400 bestvalit: 26.522880 bestmemit: -8.781372 0.007762 0.002250 -0.000721 -2.446944 0.165803 0.091528 0.343443 0.050005 0.967119 0.998720 0.915959 0.401616 0.000683 0.965524 0.998481 0.653334
#> Iteration: 425 bestvalit: 26.493841 bestmemit: -6.894632 0.007637 0.002089 -0.000734 -2.446405 0.167414 0.090542 0.340684 0.050084 0.965717 0.999924 0.573079 0.391752 0.000329 0.962457 0.999182 0.520358
#> Iteration: 450 bestvalit: 26.485136 bestmemit: -6.051972 0.007563 0.001988 -0.000789 -2.446663 0.169187 0.090343 0.331140 0.050159 0.965600 0.999997 0.607921 0.395602 0.000060 0.963970 0.999893 0.372001
#> Iteration: 475 bestvalit: 26.481483 bestmemit: -5.921875 0.007494 0.001930 -0.000836 -2.446770 0.170916 0.090362 0.336035 0.050050 0.966064 0.999992 0.637843 0.389079 0.000052 0.965895 0.999986 0.248583
#> Iteration: 500 bestvalit: 26.480022 bestmemit: -6.943468 0.007491 0.001921 -0.000885 -2.446499 0.170559 0.090394 0.334293 0.050006 0.965849 1.000000 0.619197 0.389919 0.000045 0.965611 0.999944 0.325399
#> Iteration: 525 bestvalit: 26.479521 bestmemit: -7.246837 0.007481 0.001913 -0.000882 -2.446583 0.170842 0.090539 0.334470 0.050011 0.965988 0.999997 0.610828 0.389270 0.000001 0.965877 0.999946 0.687576
#> Iteration: 550 bestvalit: 26.479288 bestmemit: -7.073638 0.007463 0.001894 -0.000918 -2.446352 0.170857 0.090473 0.333869 0.050003 0.966004 0.999999 0.610819 0.388687 0.000004 0.965935 0.999998 0.559242
#> Iteration: 575 bestvalit: 26.479191 bestmemit: -7.403471 0.007469 0.001903 -0.000901 -2.446415 0.170807 0.090406 0.333263 0.050002 0.966090 0.999999 0.610625 0.388689 0.000001 0.966047 0.999986 0.240151
#> Iteration: 600 bestvalit: 26.479133 bestmemit: -7.440073 0.007470 0.001905 -0.000906 -2.446412 0.170789 0.090452 0.333243 0.050000 0.966116 1.000000 0.611507 0.388808 0.000000 0.966115 0.999996 0.817687
#> Iteration: 625 bestvalit: 26.479111 bestmemit: -8.081280 0.007471 0.001905 -0.000899 -2.446416 0.170783 0.090374 0.333095 0.050000 0.966009 1.000000 0.612782 0.387551 0.000000 0.966008 0.999999 0.374154
#> Iteration: 650 bestvalit: 26.479099 bestmemit: -8.127266 0.007469 0.001901 -0.000900 -2.446402 0.170796 0.090420 0.333223 0.050000 0.965988 1.000000 0.612008 0.388123 0.000000 0.965987 1.000000 0.287985
#> Iteration: 675 bestvalit: 26.479095 bestmemit: -8.087297 0.007468 0.001901 -0.000901 -2.446410 0.170835 0.090416 0.333235 0.050000 0.966010 1.000000 0.612151 0.387844 0.000000 0.966009 1.000000 0.645525
#> Iteration: 700 bestvalit: 26.479093 bestmemit: -8.474841 0.007467 0.001900 -0.000902 -2.446388 0.170822 0.090421 0.333254 0.050000 0.966008 1.000000 0.612144 0.387893 0.000000 0.966008 1.000000 0.638059
#> Iteration: 725 bestvalit: 26.479092 bestmemit: -8.586222 0.007466 0.001899 -0.000902 -2.446391 0.170841 0.090425 0.333277 0.050000 0.966022 1.000000 0.612083 0.387923 0.000000 0.966022 1.000000 0.850604
#> ... Finished Calibration.
#> Best solution: 26.4790917511302
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.3State.normal.boxcox.AR1.a0std
#> Reference model name for maximum acceptable calib. solution: model.3State.normal.boxcox.AR0.a0std
#> Reference model maximum acceptable calib. solution: 31.6567293447818
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 170
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 90.030871 bestmemit: -7.071193 0.041543 0.272845 -0.267558 -3.348305 0.034489 0.609317 0.511092 0.566088 0.922456 0.634707 0.597658 0.465181 0.473171 0.322656 0.554968 0.286765
#> Iteration: 50 bestvalit: 58.651966 bestmemit: -6.448603 0.014960 0.105563 -0.323445 -2.574428 0.146218 0.579161 0.533800 0.469980 0.970120 0.572360 0.723753 0.634741 0.384300 0.181221 0.462511 0.651225
#> Iteration: 75 bestvalit: 52.616461 bestmemit: -7.978498 0.000882 0.338353 0.110317 -2.463982 0.304481 0.408340 0.604416 0.563248 0.943554 0.730600 0.533918 0.691982 0.303160 0.275562 0.735844 0.317085
#> Iteration: 100 bestvalit: 42.636834 bestmemit: -8.855567 0.013511 0.006885 -0.272756 -2.471284 0.081968 0.155250 0.584127 0.264642 0.822504 0.834921 0.605810 0.647378 0.148575 0.466613 0.444987 0.298324
#> Iteration: 125 bestvalit: 38.202559 bestmemit: -3.370734 0.008128 0.002682 0.475993 -2.473779 0.189257 0.131670 0.402878 0.345486 0.911439 0.846098 0.768649 0.506791 0.320215 0.369625 0.491679 0.577583
#> Iteration: 150 bestvalit: 36.159955 bestmemit: -4.459095 0.011956 0.004216 0.496698 -2.483310 0.145156 0.153736 0.383449 0.214013 0.942764 0.961080 0.336648 0.887325 0.351760 0.368504 0.976027 0.551108
#> Iteration: 175 bestvalit: 32.098598 bestmemit: -6.221944 0.007203 0.000653 0.386898 -2.457755 0.187008 0.110757 0.219463 0.151402 0.939648 0.995647 0.460594 0.677021 0.191450 0.496975 0.787903 0.117406
#> Iteration: 200 bestvalit: 29.286759 bestmemit: -6.717775 0.009569 0.004806 0.001290 -2.465212 0.154200 0.086172 0.337077 0.327063 0.942506 0.963997 0.314580 0.720919 0.065915 0.564918 0.780483 0.222468
#> Iteration: 225 bestvalit: 28.203129 bestmemit: -6.434308 0.007074 0.001537 0.004241 -2.444956 0.176934 0.090557 0.371457 0.467691 0.944429 0.976895 0.278101 0.783762 0.070211 0.591972 0.750878 0.363391
#> Iteration: 250 bestvalit: 27.549277 bestmemit: -5.054647 0.006881 0.001459 0.002309 -2.439834 0.171000 0.098087 0.362136 0.322880 0.944798 0.986241 0.819770 0.142063 0.001424 0.435997 0.834014 0.201263
#> Iteration: 275 bestvalit: 27.249840 bestmemit: -4.044169 0.008059 0.002500 0.002713 -2.454813 0.173824 0.084774 0.391731 0.197397 0.936766 0.989861 0.720681 0.018055 0.002302 0.460769 0.967139 0.474146
#> Iteration: 300 bestvalit: 26.870514 bestmemit: -4.187049 0.006996 0.001459 0.000390 -2.442573 0.174966 0.092770 0.374808 0.081009 0.959893 0.995965 0.477729 0.047954 0.003899 0.503856 0.975710 0.143966
#> Iteration: 325 bestvalit: 26.744871 bestmemit: -4.479072 0.007251 0.001612 0.000900 -2.445041 0.173918 0.091568 0.357811 0.081361 0.959267 0.997044 0.365414 0.017382 0.001366 0.587075 0.998109 0.544699
#> Iteration: 350 bestvalit: 26.710112 bestmemit: -4.931394 0.007054 0.001480 0.000635 -2.444642 0.176691 0.087842 0.346418 0.079948 0.958616 0.999974 0.402465 0.002007 0.000031 0.552911 0.990925 0.883436
#> Iteration: 375 bestvalit: 26.691345 bestmemit: -5.250116 0.007323 0.001581 0.001142 -2.446457 0.174386 0.089108 0.350521 0.088652 0.957257 0.999666 0.322232 0.003932 0.000235 0.589817 0.999926 0.443905
#> Iteration: 400 bestvalit: 26.681530 bestmemit: -5.364195 0.007435 0.001729 0.001590 -2.446895 0.172978 0.088262 0.346191 0.103465 0.951429 0.999868 0.169919 0.000550 0.000168 0.681280 0.999173 0.212627
#> Iteration: 425 bestvalit: 26.675517 bestmemit: -6.508584 0.007359 0.001635 0.001628 -2.445661 0.172770 0.088173 0.345657 0.109916 0.951005 0.999934 0.159525 0.000327 0.000036 0.679681 0.999758 0.607835
#> Iteration: 450 bestvalit: 26.673751 bestmemit: -7.144083 0.007313 0.001593 0.001543 -2.445096 0.172903 0.087882 0.347320 0.112150 0.950359 0.999939 0.162594 0.000242 0.000006 0.688064 0.999713 0.222432
#> Iteration: 475 bestvalit: 26.672936 bestmemit: -6.653109 0.007357 0.001625 0.001592 -2.445363 0.172422 0.087636 0.346645 0.110864 0.950807 0.999994 0.158229 0.000013 0.000005 0.687955 0.999888 0.732305
#> Iteration: 500 bestvalit: 26.672696 bestmemit: -6.976181 0.007352 0.001627 0.001561 -2.445287 0.172374 0.087670 0.347017 0.111022 0.950706 0.999993 0.158278 0.000023 0.000003 0.688194 0.999957 0.650702
#> Iteration: 525 bestvalit: 26.672561 bestmemit: -7.701371 0.007348 0.001628 0.001557 -2.445346 0.172605 0.087840 0.347312 0.111220 0.950967 0.999998 0.157220 0.000006 0.000002 0.687711 0.999998 0.714002
#> Iteration: 550 bestvalit: 26.672539 bestmemit: -7.907045 0.007357 0.001634 0.001569 -2.445422 0.172544 0.087815 0.347192 0.111287 0.950822 1.000000 0.157061 0.000010 0.000001 0.686568 0.999996 0.717528
#> Iteration: 575 bestvalit: 26.672498 bestmemit: -8.458515 0.007361 0.001639 0.001574 -2.445414 0.172432 0.087799 0.347367 0.111658 0.950834 1.000000 0.157766 0.000001 0.000001 0.688316 1.000000 0.870113
#> Iteration: 600 bestvalit: 26.672489 bestmemit: -8.312314 0.007356 0.001634 0.001568 -2.445413 0.172515 0.087811 0.347414 0.111275 0.950829 1.000000 0.157614 0.000001 0.000000 0.688019 0.999999 0.294025
#> Iteration: 625 bestvalit: 26.672484 bestmemit: -8.323643 0.007357 0.001635 0.001565 -2.445398 0.172480 0.087804 0.347375 0.111169 0.950884 1.000000 0.157209 0.000000 0.000000 0.687574 1.000000 0.371073
#> Iteration: 650 bestvalit: 26.672484 bestmemit: -8.186978 0.007355 0.001632 0.001564 -2.445390 0.172504 0.087797 0.347439 0.111200 0.950869 1.000000 0.157305 0.000000 0.000000 0.687664 1.000000 0.298169
#> ... Finished Calibration.
#> Best solution: 26.6724829372933
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.6724829372933
#> - total population size: 170
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 88.993826 bestmemit: -7.778213 0.401262 0.044368 -0.227323 -3.494984 -0.014404 0.131183 0.735951 0.241810 0.777138 0.994578 0.760275 0.653507 0.038025 0.132610 0.358259 0.524473
#> Iteration: 50 bestvalit: 48.850986 bestmemit: -6.376085 0.017791 0.014384 -0.381674 -2.545290 0.097820 0.077706 0.393175 0.418375 0.722231 0.855765 0.825148 0.633266 0.235427 0.011649 0.395533 0.394510
#> Iteration: 75 bestvalit: 31.345209 bestmemit: -5.583544 0.007916 0.002253 -0.344702 -2.449309 0.166513 0.099002 0.270045 0.303016 0.964642 0.982815 0.909873 0.770036 0.230009 0.460049 0.325795 0.391311
#> Iteration: 100 bestvalit: 28.868377 bestmemit: -5.267207 0.009229 0.003779 0.011630 -2.467539 0.170357 0.069161 0.315622 0.322759 0.965820 0.997595 0.920542 0.923909 0.128068 0.243113 0.169867 0.391289
#> Iteration: 125 bestvalit: 28.349579 bestmemit: -5.117050 0.007644 0.002582 0.004434 -2.447173 0.169100 0.086496 0.307285 0.290021 0.945180 0.999713 0.892545 0.880631 0.091315 0.460688 0.990034 0.395716
#> Iteration: 150 bestvalit: 27.999918 bestmemit: -5.278141 0.007063 0.001815 0.007828 -2.446369 0.178936 0.095411 0.296797 0.272331 0.960846 0.997912 0.906527 0.950246 0.098958 0.508226 0.783599 0.391454
#> Iteration: 175 bestvalit: 27.696556 bestmemit: -5.197413 0.007383 0.001996 0.010630 -2.446654 0.173247 0.090447 0.318070 0.144599 0.962033 0.999824 0.872790 0.877303 0.077650 0.881000 0.867885 0.375140
#> Iteration: 200 bestvalit: 27.666881 bestmemit: -5.238577 0.007359 0.001917 0.011608 -2.445979 0.172164 0.091223 0.328611 0.121818 0.964826 0.999736 0.871880 0.891020 0.075439 0.886480 0.893870 0.370586
#> Iteration: 225 bestvalit: 27.600851 bestmemit: -5.418913 0.007199 0.001711 0.012030 -2.445787 0.174960 0.093771 0.330956 0.124184 0.967541 0.999757 0.877726 0.991431 0.078121 0.889202 0.905952 0.382366
#> Iteration: 250 bestvalit: 27.547039 bestmemit: -5.381185 0.007502 0.001912 0.013851 -2.444480 0.167262 0.091231 0.341798 0.050807 0.963465 0.999835 0.878958 0.999503 0.078723 0.884070 0.933336 0.353388
#> Iteration: 275 bestvalit: 27.530225 bestmemit: -5.256933 0.007340 0.001793 0.013650 -2.443901 0.169208 0.092316 0.330530 0.050003 0.965043 0.999986 0.876609 0.999764 0.078867 0.886150 0.938362 0.348952
#> Iteration: 300 bestvalit: 27.528062 bestmemit: -5.235392 0.007302 0.001750 0.013560 -2.443611 0.169732 0.091490 0.327012 0.050081 0.964714 0.999998 0.877232 0.999973 0.080959 0.883651 0.940272 0.347272
#> Iteration: 325 bestvalit: 27.527528 bestmemit: -5.249524 0.007322 0.001757 0.013585 -2.443913 0.169837 0.091558 0.328051 0.050017 0.964990 1.000000 0.877882 0.999999 0.080100 0.884890 0.940344 0.347762
#> Iteration: 350 bestvalit: 27.527399 bestmemit: -5.250469 0.007322 0.001761 0.013581 -2.443933 0.169897 0.091645 0.327630 0.050016 0.964767 1.000000 0.878074 1.000000 0.081091 0.883672 0.940389 0.346992
#> Iteration: 375 bestvalit: 27.527345 bestmemit: -5.250838 0.007325 0.001762 0.013582 -2.444003 0.169959 0.091586 0.327360 0.050001 0.964744 1.000000 0.878253 0.999995 0.081273 0.883468 0.940599 0.346815
#> Iteration: 400 bestvalit: 27.527338 bestmemit: -5.252691 0.007327 0.001765 0.013584 -2.444030 0.169959 0.091596 0.327513 0.050000 0.964748 1.000000 0.878310 0.999996 0.081253 0.883495 0.940581 0.346826
#> Iteration: 425 bestvalit: 27.527335 bestmemit: -5.254822 0.007327 0.001763 0.013586 -2.444024 0.169952 0.091601 0.327621 0.050000 0.964767 1.000000 0.878338 0.999999 0.081303 0.883463 0.940554 0.346890
#> Iteration: 450 bestvalit: 27.527333 bestmemit: -5.254190 0.007326 0.001762 0.013585 -2.444019 0.169963 0.091602 0.327514 0.050000 0.964784 1.000000 0.878336 1.000000 0.081335 0.883449 0.940578 0.346867
#> Iteration: 475 bestvalit: 27.527322 bestmemit: -5.251481 0.007324 0.001759 0.013584 -2.444004 0.170000 0.091595 0.327317 0.050000 0.964713 1.000000 0.878346 0.999999 0.081202 0.883509 0.940659 0.346789
#> Iteration: 500 bestvalit: 27.527234 bestmemit: -5.262866 0.007303 0.001739 0.013583 -2.443901 0.170231 0.091701 0.327786 0.050000 0.964873 0.999999 0.878354 0.999999 0.081247 0.883609 0.941132 0.346761
#> Iteration: 525 bestvalit: 27.527160 bestmemit: -5.266785 0.007305 0.001745 0.013598 -2.444010 0.170358 0.091662 0.327776 0.050000 0.964737 0.999998 0.878394 1.000000 0.081069 0.883635 0.941581 0.346591
#> Iteration: 550 bestvalit: 27.527098 bestmemit: -5.273055 0.007301 0.001742 0.013607 -2.444024 0.170437 0.091694 0.327804 0.050000 0.964778 1.000000 0.878466 1.000000 0.080968 0.883741 0.941767 0.346639
#> Iteration: 575 bestvalit: 27.527043 bestmemit: -5.277666 0.007291 0.001734 0.013609 -2.444022 0.170642 0.091679 0.327600 0.050001 0.964773 1.000000 0.878548 0.999998 0.080979 0.883698 0.942314 0.346406
#> Iteration: 600 bestvalit: 27.527021 bestmemit: -5.284039 0.007288 0.001732 0.013623 -2.443991 0.170651 0.091666 0.327590 0.050001 0.964776 1.000000 0.878568 0.999999 0.081005 0.883609 0.942383 0.346486
#> Iteration: 625 bestvalit: 27.526995 bestmemit: -5.294133 0.007289 0.001733 0.013650 -2.444021 0.170693 0.091642 0.327599 0.050001 0.964774 1.000000 0.878727 0.999998 0.080901 0.883637 0.942546 0.346580
#> Iteration: 650 bestvalit: 27.526940 bestmemit: -5.312348 0.007290 0.001733 0.013700 -2.444021 0.170666 0.091646 0.327460 0.050002 0.964704 1.000000 0.879053 0.999982 0.081095 0.883296 0.942553 0.346707
#> Iteration: 675 bestvalit: 27.526884 bestmemit: -5.330872 0.007289 0.001732 0.013747 -2.443983 0.170633 0.091656 0.327648 0.050002 0.964731 1.000000 0.879539 0.999959 0.081046 0.883393 0.942433 0.346888
#> Iteration: 700 bestvalit: 27.526758 bestmemit: -5.351301 0.007304 0.001745 0.013817 -2.444054 0.170430 0.091635 0.327600 0.050001 0.964684 0.999999 0.880341 0.999940 0.081141 0.883503 0.941969 0.347174
#> Iteration: 725 bestvalit: 27.526706 bestmemit: -5.357275 0.007291 0.001734 0.013822 -2.444005 0.170631 0.091612 0.327463 0.050000 0.964769 0.999999 0.880496 0.999932 0.081074 0.883694 0.942488 0.347020
#> Iteration: 750 bestvalit: 27.526644 bestmemit: -5.361786 0.007291 0.001736 0.013818 -2.444045 0.170667 0.091698 0.327478 0.050006 0.964758 0.999998 0.880515 0.999991 0.080888 0.883871 0.942476 0.347117
#> Iteration: 775 bestvalit: 27.526626 bestmemit: -5.363117 0.007289 0.001733 0.013815 -2.444011 0.170667 0.091643 0.327364 0.050006 0.964774 0.999998 0.880538 1.000000 0.081071 0.883703 0.942529 0.347116
#> Iteration: 800 bestvalit: 27.526621 bestmemit: -5.363999 0.007288 0.001733 0.013813 -2.444035 0.170728 0.091626 0.327455 0.050006 0.964772 0.999998 0.880542 1.000000 0.080938 0.883834 0.942716 0.347103
#> Iteration: 825 bestvalit: 27.526602 bestmemit: -5.363016 0.007288 0.001731 0.013802 -2.444019 0.170708 0.091636 0.327457 0.050007 0.964739 1.000000 0.880583 1.000000 0.081077 0.883662 0.942645 0.347076
#> Iteration: 850 bestvalit: 27.526597 bestmemit: -5.361486 0.007288 0.001733 0.013801 -2.444018 0.170701 0.091655 0.327373 0.050007 0.964777 1.000000 0.880558 1.000000 0.080989 0.883788 0.942604 0.347077
#> Iteration: 875 bestvalit: 27.526582 bestmemit: -5.372568 0.007286 0.001732 0.013793 -2.444008 0.170722 0.091672 0.327319 0.050014 0.964762 1.000000 0.880888 0.999998 0.081043 0.883720 0.942627 0.347096
#> Iteration: 900 bestvalit: 27.526505 bestmemit: -5.457565 0.007288 0.001733 0.013780 -2.444062 0.170757 0.091570 0.326998 0.050058 0.964748 1.000000 0.883377 0.999983 0.081187 0.883559 0.942820 0.347768
#> Iteration: 925 bestvalit: 27.526381 bestmemit: -5.681264 0.007286 0.001730 0.013754 -2.444005 0.170731 0.091632 0.327195 0.050173 0.964732 1.000000 0.890021 0.999943 0.081027 0.883694 0.942389 0.349660
#> Iteration: 950 bestvalit: 27.526378 bestmemit: -5.685213 0.007288 0.001732 0.013754 -2.444003 0.170681 0.091643 0.327235 0.050175 0.964768 1.000000 0.890113 0.999942 0.080991 0.883765 0.942254 0.349788
#> Iteration: 975 bestvalit: 27.526370 bestmemit: -5.694053 0.007288 0.001733 0.013759 -2.444000 0.170672 0.091638 0.327259 0.050179 0.964784 1.000000 0.890339 0.999939 0.080935 0.883849 0.942233 0.349883
#> Iteration: 1000 bestvalit: 27.526370 bestmemit: -5.695597 0.007288 0.001733 0.013759 -2.444003 0.170673 0.091644 0.327242 0.050179 0.964773 1.000000 0.890394 0.999939 0.080955 0.883818 0.942227 0.349877
#> Iteration: 1025 bestvalit: 27.526370 bestmemit: -5.699116 0.007288 0.001733 0.013759 -2.444005 0.170680 0.091648 0.327214 0.050181 0.964777 1.000000 0.890487 0.999938 0.080982 0.883795 0.942242 0.349892
#> ... Finished Calibration.
#> Best solution: 27.5263696056236
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.6724829372933
#> - total population size: 170
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 85.210273 bestmemit: -6.148199 0.053785 0.036505 -0.251129 -3.593053 -0.198770 0.642697 0.637921 0.474834 0.962502 0.920298 0.768074 0.830795 0.369194 0.560936 0.856678 0.864588
#> Iteration: 50 bestvalit: 46.055489 bestmemit: -8.707457 0.001994 0.205374 0.203346 -2.419577 0.216081 0.256085 0.225468 0.590450 0.996991 0.503938 0.937769 0.663290 0.499869 0.455878 0.630177 0.203512
#> Iteration: 75 bestvalit: 43.758878 bestmemit: -7.229594 0.002161 -0.001007 -0.001933 -2.432045 0.229614 0.263734 0.445982 0.321263 0.998371 0.577092 0.908415 0.547181 0.456077 0.437987 0.924810 0.609325
#> Iteration: 100 bestvalit: 38.689865 bestmemit: -4.046350 0.009031 0.002709 0.001842 -2.434555 0.115164 0.183883 0.289947 0.400111 0.994108 0.569403 0.743013 0.078817 0.642518 0.322717 0.802776 0.545453
#> Iteration: 125 bestvalit: 36.977313 bestmemit: -3.352046 0.008721 -0.002711 0.003247 -2.446173 0.144561 0.193560 0.050548 0.319802 0.992958 0.661053 0.750686 0.000058 0.717271 0.255199 0.912033 0.175868
#> Iteration: 150 bestvalit: 36.456142 bestmemit: -3.959728 0.008390 -0.003348 0.002186 -2.452308 0.163168 0.199039 0.055379 0.327805 0.990048 0.690405 0.769986 0.002787 0.736614 0.220194 0.979183 0.312946
#> Iteration: 175 bestvalit: 34.967589 bestmemit: -3.279985 0.008191 -0.002230 0.001922 -2.455866 0.178545 0.217682 0.076292 0.372289 0.971465 0.878759 0.858310 0.061852 0.837635 0.019059 0.951039 0.432918
#> Iteration: 200 bestvalit: 28.942486 bestmemit: -5.946849 0.007069 -0.011170 0.001038 -2.438422 0.165814 0.094579 0.717797 0.388220 0.967035 0.530634 0.962417 0.163930 0.902008 0.063826 0.985826 0.978165
#> Iteration: 225 bestvalit: 27.980598 bestmemit: -5.042195 0.007177 -0.002037 0.001570 -2.440148 0.166102 0.094837 0.052343 0.327150 0.965670 0.570486 0.976704 0.110074 0.702968 0.020404 0.978366 0.937586
#> Iteration: 250 bestvalit: 27.411538 bestmemit: -7.006861 0.007408 -0.000950 0.001795 -2.447250 0.173638 0.089826 0.053007 0.319508 0.969739 0.526737 0.999563 0.247366 0.682395 0.038593 0.993787 0.984354
#> Iteration: 275 bestvalit: 26.846001 bestmemit: -4.580207 0.006643 -0.001740 0.001104 -2.437973 0.174390 0.096126 0.055079 0.325104 0.974858 0.501914 0.999978 0.402021 0.973830 0.000063 0.997507 0.214089
#> Iteration: 300 bestvalit: 26.776243 bestmemit: -5.790743 0.006878 -0.001722 0.001345 -2.439912 0.172874 0.097136 0.050765 0.333935 0.975322 0.501928 0.999959 0.418854 0.973622 0.000141 0.998863 0.057204
#> Iteration: 325 bestvalit: 26.720975 bestmemit: -5.046668 0.007110 -0.001499 0.001696 -2.442300 0.171915 0.099017 0.050015 0.335049 0.973940 0.521257 0.999996 0.460022 0.971987 0.000073 0.999965 0.562380
#> Iteration: 350 bestvalit: 26.627908 bestmemit: -5.060805 0.007526 -0.000917 0.002093 -2.449594 0.174717 0.097113 0.050336 0.340180 0.970130 0.573393 0.999956 0.489265 0.964503 0.000094 0.999911 0.791408
#> Iteration: 375 bestvalit: 26.567847 bestmemit: -5.240841 0.007597 -0.000672 0.002070 -2.448333 0.169913 0.092702 0.050359 0.336626 0.969097 0.567610 0.999998 0.518878 0.955538 0.000461 1.000000 0.888311
#> Iteration: 400 bestvalit: 26.527097 bestmemit: -5.478085 0.007333 -0.001013 0.001784 -2.446625 0.172706 0.093794 0.050263 0.337078 0.966118 0.586672 0.999934 0.578734 0.962901 0.000277 0.998956 0.275188
#> Iteration: 425 bestvalit: 26.514253 bestmemit: -5.578577 0.007434 -0.000873 0.001849 -2.446589 0.170698 0.092791 0.050000 0.343571 0.966331 0.583111 0.999887 0.579424 0.966137 0.000031 0.998465 0.453525
#> Iteration: 450 bestvalit: 26.506707 bestmemit: -7.707873 0.007337 -0.000891 0.001800 -2.446357 0.172587 0.091381 0.050046 0.340601 0.966171 0.574380 0.999644 0.570577 0.965284 0.000073 0.998853 0.202869
#> Iteration: 475 bestvalit: 26.499871 bestmemit: -9.893404 0.007377 -0.000923 0.001864 -2.446122 0.171617 0.091260 0.050179 0.338889 0.966432 0.563073 0.999576 0.578208 0.964770 0.000295 0.999994 0.899836
#> Iteration: 500 bestvalit: 26.497839 bestmemit: -9.687927 0.007449 -0.000869 0.001894 -2.446394 0.170799 0.091262 0.050126 0.337982 0.966087 0.559713 0.999455 0.586806 0.963472 0.000568 0.999993 0.544013
#> Iteration: 525 bestvalit: 26.495306 bestmemit: -7.850156 0.007419 -0.000855 0.001858 -2.446269 0.171092 0.091364 0.050002 0.336387 0.965866 0.562724 0.999707 0.592423 0.963541 0.000632 0.999999 0.501478
#> Iteration: 550 bestvalit: 26.494879 bestmemit: -7.372815 0.007407 -0.000841 0.001861 -2.446244 0.171208 0.091376 0.050002 0.336963 0.965934 0.565823 0.999850 0.590072 0.964209 0.000513 0.999979 0.321764
#> Iteration: 575 bestvalit: 26.493416 bestmemit: -7.158245 0.007383 -0.000854 0.001854 -2.446288 0.171674 0.091444 0.050017 0.332745 0.965847 0.568622 0.999999 0.591382 0.964478 0.000407 0.999999 0.515354
#> Iteration: 600 bestvalit: 26.490367 bestmemit: -8.395072 0.007456 -0.000863 0.001908 -2.446617 0.170813 0.091847 0.050219 0.332349 0.965698 0.574417 0.999990 0.605609 0.963818 0.000127 0.999970 0.691181
#> Iteration: 625 bestvalit: 26.486663 bestmemit: -9.915051 0.007418 -0.000865 0.001856 -2.446147 0.171097 0.091152 0.050266 0.331721 0.965818 0.568254 0.999970 0.601820 0.963746 0.000000 0.999934 0.365570
#> Iteration: 650 bestvalit: 26.484819 bestmemit: -8.979201 0.007454 -0.000864 0.001891 -2.446379 0.170816 0.091100 0.050140 0.333927 0.965688 0.569715 0.999994 0.594770 0.964168 0.000011 0.999999 0.146422
#> Iteration: 675 bestvalit: 26.484086 bestmemit: -8.534621 0.007448 -0.000857 0.001884 -2.446494 0.171200 0.090806 0.050120 0.335091 0.965918 0.565699 0.999990 0.596105 0.964068 0.000001 1.000000 0.007069
#> Iteration: 700 bestvalit: 26.483284 bestmemit: -9.217735 0.007465 -0.000883 0.001897 -2.446587 0.171080 0.090773 0.050039 0.336455 0.966312 0.558204 1.000000 0.594911 0.964097 0.000004 1.000000 0.797721
#> Iteration: 725 bestvalit: 26.483156 bestmemit: -8.028951 0.007491 -0.000864 0.001927 -2.446797 0.170881 0.090707 0.050022 0.336046 0.966361 0.556987 1.000000 0.594315 0.964107 0.000000 0.999999 0.314026
#> Iteration: 750 bestvalit: 26.482944 bestmemit: -7.723467 0.007477 -0.000895 0.001914 -2.446581 0.170817 0.090819 0.050037 0.335047 0.966490 0.555047 1.000000 0.596690 0.963976 0.000000 0.999996 0.251535
#> Iteration: 775 bestvalit: 26.482519 bestmemit: -7.145568 0.007454 -0.000889 0.001896 -2.446461 0.171146 0.090829 0.050029 0.334838 0.965875 0.560233 1.000000 0.600219 0.963440 0.000001 0.999965 0.586005
#> Iteration: 800 bestvalit: 26.482175 bestmemit: -8.691217 0.007469 -0.000888 0.001908 -2.446499 0.170888 0.090611 0.050000 0.334400 0.965650 0.560802 1.000000 0.600459 0.963220 0.000003 0.999951 0.286963
#> Iteration: 825 bestvalit: 26.482129 bestmemit: -9.869418 0.007475 -0.000882 0.001912 -2.446571 0.170901 0.090603 0.050001 0.334009 0.965684 0.560196 1.000000 0.600711 0.963202 0.000002 0.999948 0.349455
#> Iteration: 850 bestvalit: 26.482039 bestmemit: -9.197439 0.007469 -0.000897 0.001903 -2.446467 0.170862 0.090525 0.050001 0.333447 0.965722 0.559000 1.000000 0.601103 0.963140 0.000001 0.999940 0.153511
#> Iteration: 875 bestvalit: 26.481986 bestmemit: -8.219390 0.007469 -0.000894 0.001902 -2.446429 0.170800 0.090489 0.050000 0.333880 0.965725 0.558733 1.000000 0.601964 0.963073 0.000000 0.999933 0.855500
#> Iteration: 900 bestvalit: 26.481887 bestmemit: -9.980684 0.007468 -0.000900 0.001904 -2.446467 0.170904 0.090497 0.050002 0.333764 0.965903 0.556286 1.000000 0.605221 0.962902 0.000000 0.999922 0.531764
#> Iteration: 925 bestvalit: 26.481876 bestmemit: -8.393982 0.007468 -0.000899 0.001903 -2.446466 0.170891 0.090473 0.050001 0.333708 0.965858 0.556518 1.000000 0.605747 0.962837 0.000000 0.999919 0.436774
#> Iteration: 950 bestvalit: 26.481870 bestmemit: -8.609377 0.007469 -0.000898 0.001904 -2.446449 0.170861 0.090470 0.050000 0.333728 0.965844 0.556483 1.000000 0.606177 0.962794 0.000000 0.999916 0.310538
#> Iteration: 975 bestvalit: 26.481869 bestmemit: -8.755089 0.007469 -0.000898 0.001904 -2.446448 0.170860 0.090469 0.050000 0.333748 0.965841 0.556522 1.000000 0.606245 0.962788 0.000000 0.999916 0.554858
#> ... Finished Calibration.
#> Best solution: 26.481869384672
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.481869384672
#> - total population size: 170
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 79.329013 bestmemit: -2.957361 0.044161 0.183678 0.364499 -2.662436 -0.291772 0.436761 0.293810 0.575052 0.999333 0.941365 0.327805 0.925242 0.294633 0.500329 0.327345 0.227366
#> Iteration: 50 bestvalit: 39.379463 bestmemit: -5.265921 0.009672 0.003756 -0.119267 -2.466108 0.152944 0.162582 0.520222 0.360498 0.884801 0.837474 0.589179 0.731484 0.270708 0.116126 0.284422 0.158055
#> Iteration: 75 bestvalit: 29.282515 bestmemit: -6.228149 0.008010 0.001595 -0.200054 -2.437204 0.139438 0.102340 0.363143 0.589875 0.977429 0.996218 0.125456 0.969456 0.066063 0.555435 0.938753 0.026823
#> Iteration: 100 bestvalit: 28.144051 bestmemit: -8.038004 0.007551 0.001903 -0.270562 -2.444261 0.165609 0.091450 0.322787 0.511273 0.964033 0.999748 0.289388 0.997211 0.071825 0.359093 0.999497 0.855504
#> Iteration: 125 bestvalit: 28.116131 bestmemit: -7.627347 0.007605 0.002026 -0.251372 -2.445283 0.166062 0.091948 0.328275 0.315990 0.965292 0.999984 0.293953 0.999991 0.082842 0.331789 0.999402 0.466673
#> Iteration: 150 bestvalit: 28.111668 bestmemit: -7.526392 0.007454 0.001873 -0.251585 -2.444280 0.167832 0.091982 0.329151 0.461366 0.964574 0.999997 0.299544 0.999990 0.083928 0.264815 0.999939 0.628007
#> Iteration: 175 bestvalit: 28.111088 bestmemit: -7.578250 0.007457 0.001868 -0.256969 -2.443950 0.167227 0.091762 0.328760 0.415601 0.964164 1.000000 0.311799 0.999999 0.085037 0.224335 1.000000 0.463990
#> Iteration: 200 bestvalit: 28.111069 bestmemit: -7.605386 0.007454 0.001862 -0.256864 -2.443877 0.167180 0.091763 0.328651 0.334663 0.964210 1.000000 0.314484 1.000000 0.084929 0.218605 1.000000 0.405822
#> Iteration: 225 bestvalit: 28.111068 bestmemit: -7.606538 0.007455 0.001862 -0.256868 -2.443883 0.167172 0.091758 0.328647 0.351623 0.964215 1.000000 0.314578 1.000000 0.084934 0.218912 1.000000 0.421043
#> ... Finished Calibration.
#> Best solution: 28.1110678002577
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.3State.gamma.boxcox.AR1.a0std
#> Reference model name for maximum acceptable calib. solution: model.3State.gamma.boxcox.AR0.a0std
#> Reference model maximum acceptable calib. solution: 31.6206166312737
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 170
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 96.772080 bestmemit: -6.891205 0.053012 0.171782 -0.105040 -4.482920 -0.206935 0.705147 0.634272 0.436499 0.997289 0.844607 0.353347 0.785036 0.507413 0.391772 0.849686 0.429575
#> Iteration: 50 bestvalit: 73.479026 bestmemit: -7.872224 0.026727 0.362218 -0.093862 -2.729937 0.054692 0.664886 0.463569 0.743717 0.913655 0.723876 0.519429 0.319937 0.376342 0.238313 0.597233 0.614639
#> Iteration: 75 bestvalit: 58.624826 bestmemit: -3.403498 0.001549 0.113277 0.434914 -2.366997 0.147781 0.541012 0.366806 0.541113 0.973896 0.957871 0.210189 0.235746 0.305072 0.344503 0.186753 0.616707
#> Iteration: 100 bestvalit: 50.217517 bestmemit: -4.909352 0.004626 0.001110 0.057625 -2.415722 0.159931 0.386774 0.289956 0.385312 0.942838 0.828766 0.470111 0.516646 0.222286 0.292564 0.387304 0.457450
#> Iteration: 125 bestvalit: 45.284878 bestmemit: -5.696411 0.007479 0.140173 -0.006393 -2.451626 0.168407 0.231219 0.393051 0.402396 0.935033 0.726960 0.951377 0.089691 0.198641 0.412745 0.758292 0.148250
#> Iteration: 150 bestvalit: 35.027586 bestmemit: -5.673611 0.008113 -0.095393 0.000379 -2.459986 0.182555 0.108425 0.361110 0.303637 0.930867 0.678560 0.783270 0.217735 0.283736 0.246541 0.634411 0.553936
#> Iteration: 175 bestvalit: 30.746528 bestmemit: -4.711047 0.008134 0.000822 0.004222 -2.432008 0.145961 0.090210 0.317973 0.222423 0.937181 0.650273 0.585237 0.453521 0.224552 0.206077 0.684565 0.273099
#> Iteration: 200 bestvalit: 30.746528 bestmemit: -4.711047 0.008134 0.000822 0.004222 -2.432008 0.145961 0.090210 0.317973 0.222423 0.937181 0.650273 0.585237 0.453521 0.224552 0.206077 0.684565 0.273099
#> ... Finished Calibration.
#> Best solution: 30.7465283100769
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 30.7465283100769
#> - total population size: 170
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 90.287850 bestmemit: -4.093368 -0.217420 0.456196 0.020803 -2.428048 -0.252641 0.536946 0.348636 0.659438 0.937034 0.281012 0.901368 0.518812 0.336839 0.100496 0.020310 0.372193
#> Iteration: 50 bestvalit: 57.297017 bestmemit: -5.651626 -0.003402 0.133613 0.295001 -2.383941 0.261772 0.418080 0.344541 0.510837 0.910092 0.669088 0.819028 0.702127 0.485251 0.249406 0.602276 0.201613
#> Iteration: 75 bestvalit: 56.954054 bestmemit: -4.821174 0.003987 0.440324 0.132782 -2.536589 0.333486 0.227034 0.318235 0.688055 0.972616 0.611020 0.819930 0.440781 0.590685 0.230816 0.686128 0.321602
#> Iteration: 100 bestvalit: 49.411324 bestmemit: -6.739524 0.004168 0.008593 -0.001793 -2.380555 0.148786 0.272786 0.312402 0.696671 0.986127 0.647601 0.698322 0.352438 0.470586 0.233648 0.726594 0.863416
#> Iteration: 125 bestvalit: 37.161186 bestmemit: -8.307125 0.011205 0.484746 0.008414 -2.467755 0.114445 0.137544 0.222500 0.387369 0.986616 0.295495 0.953116 0.478740 0.410735 0.093594 0.607130 0.574793
#> Iteration: 150 bestvalit: 35.424810 bestmemit: -4.021584 0.013301 0.418884 0.007013 -2.483554 0.104350 0.129773 0.264964 0.641964 0.981975 0.196961 0.932256 0.101373 0.465582 0.106769 0.483151 0.384677
#> Iteration: 175 bestvalit: 32.478408 bestmemit: -4.893399 0.008331 -0.273984 0.004010 -2.456738 0.157154 0.148932 0.246992 0.417316 0.980077 0.147945 0.996436 0.385540 0.473603 0.105160 0.802981 0.662187
#> Iteration: 200 bestvalit: 29.217935 bestmemit: -6.267494 0.007696 0.173166 0.002132 -2.450828 0.177156 0.099574 0.505895 0.320185 0.979528 0.715406 0.980013 0.031695 0.296690 0.141474 0.992229 0.453485
#> Iteration: 225 bestvalit: 28.481630 bestmemit: -6.107238 0.008878 0.005131 0.003544 -2.466391 0.172875 0.091407 0.361842 0.379401 0.973696 0.359839 0.946784 0.921278 0.321719 0.045517 0.770016 0.348630
#> Iteration: 250 bestvalit: 28.086285 bestmemit: -6.268618 0.008811 0.002423 0.003510 -2.464681 0.172844 0.080819 0.414956 0.363867 0.954093 0.416344 0.939779 0.818629 0.590562 0.021259 0.881060 0.518609
#> Iteration: 275 bestvalit: 27.426012 bestmemit: -5.620759 0.008552 0.003314 0.003160 -2.455902 0.163187 0.087060 0.365177 0.356456 0.960342 0.706312 0.971419 0.716987 0.674466 0.017652 0.969057 0.104685
#> Iteration: 300 bestvalit: 27.048519 bestmemit: -4.157488 0.006377 0.001957 0.000705 -2.440914 0.186121 0.092330 0.325338 0.306791 0.933435 0.773806 0.982887 0.815857 0.860576 0.010315 0.886384 0.553380
#> Iteration: 325 bestvalit: 26.530602 bestmemit: -4.574664 0.007149 0.001292 0.001427 -2.446601 0.177603 0.085858 0.114636 0.350376 0.944641 0.372127 0.991320 0.958639 0.608624 0.003013 0.986073 0.506211
#> Iteration: 350 bestvalit: 26.380198 bestmemit: -6.054221 0.006739 0.001083 0.001052 -2.442833 0.180816 0.087137 0.120120 0.360422 0.950412 0.266854 0.999481 0.987358 0.664009 0.000990 0.988716 0.693206
#> Iteration: 375 bestvalit: 26.337813 bestmemit: -7.028930 0.006926 0.001233 0.001188 -2.445478 0.181926 0.087092 0.112805 0.338358 0.949001 0.215870 0.999084 0.997052 0.676436 0.000381 0.997594 0.670516
#> Iteration: 400 bestvalit: 26.329278 bestmemit: -6.448257 0.006970 0.001460 0.001226 -2.444562 0.179288 0.086032 0.111689 0.339070 0.946788 0.192139 0.999103 0.999078 0.696874 0.000058 0.997749 0.645860
#> Iteration: 425 bestvalit: 26.321771 bestmemit: -6.423666 0.006908 0.001223 0.001178 -2.444035 0.179745 0.086669 0.107820 0.342438 0.949506 0.171976 0.999760 0.998956 0.696671 0.000138 0.999678 0.183186
#> Iteration: 450 bestvalit: 26.318646 bestmemit: -8.461662 0.006951 0.001426 0.001228 -2.444514 0.179710 0.086435 0.118451 0.341504 0.947378 0.182463 0.999930 0.999837 0.706347 0.000051 0.999794 0.616528
#> Iteration: 475 bestvalit: 26.317140 bestmemit: -8.719497 0.006956 0.001339 0.001220 -2.444619 0.179728 0.086054 0.112767 0.342757 0.948253 0.173265 0.999999 0.999894 0.701205 0.000002 0.999947 0.458281
#> Iteration: 500 bestvalit: 26.316890 bestmemit: -9.037074 0.006945 0.001318 0.001218 -2.444670 0.180076 0.086185 0.112652 0.342524 0.948097 0.174612 0.999999 0.999985 0.702210 0.000006 0.999975 0.338958
#> Iteration: 525 bestvalit: 26.316714 bestmemit: -9.308289 0.006939 0.001309 0.001213 -2.444601 0.180094 0.086335 0.113367 0.342118 0.948112 0.172863 0.999994 0.999992 0.699401 0.000002 0.999996 0.233306
#> Iteration: 550 bestvalit: 26.316641 bestmemit: -9.259418 0.006944 0.001324 0.001224 -2.444697 0.180117 0.086363 0.113285 0.341553 0.948130 0.171851 1.000000 0.999982 0.698027 0.000002 0.999991 0.329467
#> Iteration: 575 bestvalit: 26.316595 bestmemit: -9.053079 0.006954 0.001329 0.001231 -2.444729 0.179968 0.086371 0.113162 0.341700 0.948146 0.172223 0.999999 0.999996 0.698866 0.000000 0.999996 0.364455
#> Iteration: 600 bestvalit: 26.316583 bestmemit: -9.630948 0.006950 0.001321 0.001226 -2.444738 0.180046 0.086419 0.113181 0.341723 0.948280 0.171408 1.000000 0.999999 0.698219 0.000000 1.000000 0.884252
#> Iteration: 625 bestvalit: 26.316577 bestmemit: -9.384272 0.006950 0.001324 0.001226 -2.444732 0.180039 0.086402 0.113092 0.341595 0.948235 0.171908 1.000000 0.999999 0.698878 0.000000 0.999999 0.722586
#> Iteration: 650 bestvalit: 26.316575 bestmemit: -9.233812 0.006948 0.001322 0.001225 -2.444725 0.180076 0.086409 0.113099 0.341748 0.948223 0.172003 1.000000 1.000000 0.698968 0.000000 1.000000 0.358142
#> Iteration: 675 bestvalit: 26.316573 bestmemit: -9.569308 0.006950 0.001322 0.001227 -2.444739 0.180059 0.086415 0.113068 0.341726 0.948235 0.171864 1.000000 1.000000 0.698800 0.000000 1.000000 0.085328
#> Iteration: 700 bestvalit: 26.316573 bestmemit: -9.710733 0.006949 0.001321 0.001226 -2.444735 0.180058 0.086410 0.113045 0.341681 0.948254 0.171688 1.000000 1.000000 0.698605 0.000000 1.000000 0.230357
#> ... Finished Calibration.
#> Best solution: 26.3165725279271
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.3165725279271
#> - total population size: 170
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 74.125059 bestmemit: -4.955208 0.038750 0.027448 0.012465 -3.069943 0.085456 0.521349 0.493021 0.536089 0.961273 0.741572 0.811932 0.885913 0.223807 0.333765 0.706435 0.933461
#> Iteration: 50 bestvalit: 51.780513 bestmemit: -5.234292 0.002902 -0.283865 0.070523 -2.417837 0.188762 0.513191 0.498249 0.437055 0.999894 0.792858 0.822907 0.504762 0.649836 0.158127 0.629726 0.775295
#> Iteration: 75 bestvalit: 46.222638 bestmemit: -6.059081 0.003870 -0.003507 0.127138 -2.464499 0.240683 0.281090 0.313376 0.327055 0.991081 0.692831 0.744085 0.722086 0.643445 0.060625 0.933021 0.465181
#> Iteration: 100 bestvalit: 43.315472 bestmemit: -3.486170 0.004923 -0.003386 0.147024 -2.473276 0.238269 0.169918 0.086563 0.233330 0.987819 0.624788 0.699873 0.759459 0.563733 0.392807 0.820368 0.565507
#> Iteration: 125 bestvalit: 39.194540 bestmemit: -3.507887 0.005430 -0.003233 0.120724 -2.468943 0.229594 0.158209 0.056624 0.226270 0.963106 0.785086 0.669293 0.975319 0.634825 0.303017 0.462074 0.050387
#> Iteration: 150 bestvalit: 31.682558 bestmemit: -8.739843 0.006271 -0.000005 0.095138 -2.432791 0.172990 0.082671 0.229632 0.344797 0.871506 0.996837 0.545103 0.988151 0.478355 0.314963 0.938649 0.573769
#> Iteration: 175 bestvalit: 29.507809 bestmemit: -5.444582 0.007277 0.001117 0.211838 -2.453566 0.186103 0.084095 0.266139 0.116863 0.895620 0.999438 0.642522 0.974858 0.207457 0.677194 0.947613 0.990870
#> Iteration: 200 bestvalit: 28.815774 bestmemit: -5.111006 0.006849 0.000794 0.294594 -2.439432 0.171334 0.083792 0.303179 0.264975 0.918808 0.997333 0.752950 0.977556 0.115874 0.800577 0.937714 0.877317
#> Iteration: 225 bestvalit: 27.165523 bestmemit: -7.909293 0.006071 0.000918 0.002116 -2.446305 0.196171 0.087195 0.328205 0.374645 0.954873 0.990053 0.800197 0.434563 0.039990 0.909445 0.811487 0.041894
#> Iteration: 250 bestvalit: 26.712738 bestmemit: -8.589952 0.006548 0.001394 0.002839 -2.448670 0.192455 0.085889 0.368925 0.421571 0.951030 0.988947 0.861521 0.267274 0.000145 0.945054 0.776805 0.121090
#> Iteration: 275 bestvalit: 26.608883 bestmemit: -6.895778 0.006806 0.001521 0.003139 -2.449999 0.189651 0.081613 0.346224 0.429213 0.947387 0.990398 0.770674 0.262662 0.001676 0.936883 0.802017 0.002232
#> Iteration: 300 bestvalit: 26.573839 bestmemit: -6.288102 0.006509 0.001095 0.002991 -2.449208 0.194916 0.081819 0.335878 0.427413 0.945110 0.992813 0.722315 0.241971 0.001464 0.932093 0.826807 0.037469
#> Iteration: 325 bestvalit: 26.452484 bestmemit: -8.388059 0.006490 0.000964 0.003088 -2.445922 0.190174 0.086016 0.314071 0.363480 0.935139 0.999535 0.597878 0.179297 0.000337 0.909974 0.777029 0.002244
#> Iteration: 350 bestvalit: 26.422930 bestmemit: -7.308838 0.006530 0.001029 0.003342 -2.445228 0.188447 0.084442 0.315879 0.383643 0.935902 0.998752 0.627729 0.181178 0.000002 0.914291 0.776904 0.001319
#> Iteration: 375 bestvalit: 26.412910 bestmemit: -9.709646 0.006544 0.001019 0.003210 -2.444653 0.187141 0.085380 0.319587 0.379873 0.936073 0.999477 0.609266 0.180235 0.000002 0.912893 0.752508 0.000077
#> Iteration: 400 bestvalit: 26.411014 bestmemit: -7.727767 0.006551 0.001016 0.003241 -2.444781 0.187254 0.085820 0.321059 0.373969 0.935663 0.999693 0.606327 0.175667 0.000003 0.912023 0.748140 0.000120
#> Iteration: 425 bestvalit: 26.410165 bestmemit: -9.518519 0.006558 0.001024 0.003248 -2.445140 0.187702 0.086126 0.318796 0.370952 0.934927 0.999817 0.600915 0.176241 0.000000 0.910488 0.746836 0.000099
#> Iteration: 450 bestvalit: 26.408111 bestmemit: -8.480050 0.006547 0.001014 0.003243 -2.444710 0.187147 0.085920 0.320832 0.369298 0.932777 0.999793 0.609292 0.171785 0.000021 0.908283 0.745209 0.000101
#> Iteration: 475 bestvalit: 26.404083 bestmemit: -7.395825 0.006550 0.000973 0.003344 -2.444992 0.187846 0.085499 0.323605 0.364172 0.927401 0.999247 0.628070 0.162172 0.000038 0.901850 0.753418 0.000309
#> Iteration: 500 bestvalit: 26.401616 bestmemit: -9.686623 0.006526 0.000950 0.003297 -2.444800 0.188209 0.085024 0.320196 0.359066 0.927823 0.999235 0.624709 0.157268 0.000002 0.901403 0.752766 0.000379
#> Iteration: 525 bestvalit: 26.400945 bestmemit: -7.413607 0.006531 0.000946 0.003333 -2.444631 0.187900 0.084862 0.320874 0.354480 0.926152 0.999222 0.628326 0.152545 0.000001 0.899148 0.750392 0.000953
#> Iteration: 550 bestvalit: 26.400870 bestmemit: -8.254153 0.006535 0.000954 0.003332 -2.444659 0.187860 0.084824 0.321291 0.352657 0.925761 0.999184 0.629492 0.151993 0.000000 0.898665 0.748877 0.001177
#> Iteration: 575 bestvalit: 26.400627 bestmemit: -7.995576 0.006526 0.000942 0.003345 -2.444516 0.187868 0.084780 0.321518 0.349137 0.924661 0.999280 0.630039 0.149208 0.000000 0.897119 0.747570 0.002619
#> Iteration: 600 bestvalit: 26.400255 bestmemit: -7.395854 0.006510 0.000928 0.003339 -2.444486 0.188150 0.084588 0.320776 0.346790 0.923466 0.999406 0.631255 0.148401 0.000000 0.895809 0.749266 0.004807
#> Iteration: 625 bestvalit: 26.397851 bestmemit: -7.710139 0.006546 0.000974 0.003432 -2.444655 0.187736 0.084127 0.321921 0.339105 0.921660 0.999923 0.643031 0.142984 0.000000 0.895456 0.746844 0.012228
#> Iteration: 650 bestvalit: 26.396361 bestmemit: -9.548158 0.006556 0.000996 0.003340 -2.445238 0.188462 0.084208 0.324042 0.341431 0.924284 0.999996 0.640519 0.149003 0.000000 0.899396 0.745245 0.015124
#> Iteration: 675 bestvalit: 26.396198 bestmemit: -9.541436 0.006572 0.001004 0.003367 -2.445262 0.188220 0.084137 0.323757 0.342192 0.924140 0.999994 0.639768 0.148838 0.000000 0.899065 0.745291 0.015223
#> Iteration: 700 bestvalit: 26.395744 bestmemit: -9.766400 0.006561 0.000995 0.003339 -2.445201 0.188311 0.084269 0.322829 0.349188 0.925302 0.999999 0.634672 0.151000 0.000000 0.900074 0.748979 0.014099
#> Iteration: 725 bestvalit: 26.395626 bestmemit: -8.852607 0.006558 0.000996 0.003346 -2.445198 0.188368 0.084222 0.323586 0.348812 0.925463 1.000000 0.637331 0.150931 0.000000 0.900695 0.749874 0.014704
#> Iteration: 750 bestvalit: 26.395302 bestmemit: -8.024453 0.006581 0.001027 0.003393 -2.445393 0.188172 0.084164 0.324360 0.352687 0.924841 0.999996 0.643089 0.151116 0.000000 0.900721 0.753073 0.015881
#> Iteration: 775 bestvalit: 26.395211 bestmemit: -9.837463 0.006579 0.001023 0.003392 -2.445433 0.188238 0.084101 0.324693 0.352835 0.925214 0.999999 0.643369 0.152965 0.000000 0.901475 0.754204 0.015960
#> Iteration: 800 bestvalit: 26.395186 bestmemit: -8.645652 0.006581 0.001024 0.003402 -2.445420 0.188204 0.084095 0.324600 0.352840 0.925040 1.000000 0.643287 0.152780 0.000000 0.901221 0.754374 0.016129
#> Iteration: 825 bestvalit: 26.395082 bestmemit: -9.532831 0.006574 0.001019 0.003392 -2.445354 0.188213 0.084136 0.324591 0.354649 0.925359 1.000000 0.642861 0.152795 0.000000 0.901627 0.755202 0.015540
#> Iteration: 850 bestvalit: 26.395038 bestmemit: -9.630197 0.006578 0.001022 0.003397 -2.445401 0.188207 0.084159 0.324110 0.355457 0.925423 1.000000 0.642506 0.153045 0.000001 0.901692 0.755787 0.014978
#> Iteration: 875 bestvalit: 26.394792 bestmemit: -8.533934 0.006571 0.001013 0.003377 -2.445273 0.188203 0.084233 0.323065 0.357993 0.925900 1.000000 0.643269 0.152696 0.000015 0.902396 0.756377 0.011463
#> Iteration: 900 bestvalit: 26.394495 bestmemit: -8.101740 0.006566 0.001006 0.003387 -2.445100 0.188014 0.084240 0.324261 0.359546 0.926261 1.000000 0.646138 0.155896 0.000022 0.903667 0.757460 0.009927
#> Iteration: 925 bestvalit: 26.392035 bestmemit: -6.739769 0.006600 0.001026 0.003434 -2.445585 0.188203 0.084248 0.323244 0.356648 0.925010 1.000000 0.668493 0.158500 0.000070 0.905601 0.758532 0.000301
#> Iteration: 950 bestvalit: 26.391549 bestmemit: -7.979897 0.006581 0.001021 0.003399 -2.445407 0.188274 0.084114 0.324120 0.356764 0.924063 0.999999 0.676262 0.157983 0.000076 0.905450 0.759163 0.000053
#> Iteration: 975 bestvalit: 26.391513 bestmemit: -8.191749 0.006584 0.001022 0.003405 -2.445399 0.188196 0.084069 0.324088 0.356149 0.923961 0.999999 0.677118 0.156608 0.000075 0.905288 0.758932 0.000003
#> Iteration: 1000 bestvalit: 26.391503 bestmemit: -8.384376 0.006580 0.001019 0.003409 -2.445360 0.188217 0.084088 0.324302 0.355739 0.923871 0.999999 0.677927 0.156453 0.000076 0.905272 0.759100 0.000000
#> Iteration: 1025 bestvalit: 26.391489 bestmemit: -9.367293 0.006578 0.001019 0.003407 -2.445396 0.188313 0.084070 0.324068 0.355263 0.923879 0.999999 0.678377 0.156832 0.000077 0.905387 0.759552 0.000001
#> Iteration: 1050 bestvalit: 26.391462 bestmemit: -8.589883 0.006575 0.001016 0.003400 -2.445420 0.188407 0.084056 0.324279 0.354114 0.923906 0.999999 0.679462 0.156862 0.000079 0.905575 0.759216 0.000002
#> Iteration: 1075 bestvalit: 26.391456 bestmemit: -8.788845 0.006575 0.001017 0.003397 -2.445434 0.188422 0.084068 0.324335 0.353605 0.923960 0.999999 0.679708 0.156849 0.000079 0.905675 0.758747 0.000002
#> Iteration: 1100 bestvalit: 26.391454 bestmemit: -9.940146 0.006576 0.001018 0.003395 -2.445430 0.188407 0.084055 0.324354 0.353276 0.923990 0.999999 0.679849 0.156918 0.000080 0.905739 0.758433 0.000000
#> Iteration: 1125 bestvalit: 26.391454 bestmemit: -8.225432 0.006577 0.001019 0.003396 -2.445440 0.188400 0.084063 0.324353 0.353277 0.923997 0.999999 0.679826 0.156953 0.000080 0.905749 0.758312 0.000000
#> ... Finished Calibration.
#> Best solution: 26.3914536977248
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 26.3165725279271
#> - total population size: 170
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 67.151838 bestmemit: -2.446976 0.036017 0.045780 0.131464 -2.749634 -0.205126 0.522153 0.347766 0.575617 0.798508 0.981397 0.566364 0.647413 0.121173 0.159458 0.330252 0.075932
#> Iteration: 50 bestvalit: 50.466189 bestmemit: -8.230530 0.002523 -0.092969 -0.116554 -2.422145 0.183936 0.344841 0.685450 0.605939 0.993297 0.958451 0.284705 0.717948 0.368503 0.266045 0.332371 0.630625
#> Iteration: 75 bestvalit: 43.955395 bestmemit: -8.561521 0.001552 -0.074043 -0.003809 -2.458454 0.296169 0.279787 0.650736 0.285231 0.953517 0.224304 0.979997 0.965317 0.331847 0.033438 0.557988 0.614712
#> Iteration: 100 bestvalit: 40.357036 bestmemit: -8.781349 0.002057 -0.006430 -0.001654 -2.451920 0.274450 0.280943 0.707441 0.371069 0.979907 0.299719 0.858402 0.579404 0.316031 0.094407 0.507492 0.732434
#> Iteration: 125 bestvalit: 34.600008 bestmemit: -6.631140 0.002994 -0.001129 -0.004598 -2.449452 0.258867 0.210415 0.384397 0.160293 0.986901 0.981287 0.283133 0.623040 0.009832 0.046180 0.322763 0.407126
#> Iteration: 150 bestvalit: 32.463974 bestmemit: -3.765095 0.003105 -0.002176 -0.003164 -2.455548 0.270891 0.157137 0.296766 0.053378 0.985452 0.997515 0.318608 0.261840 0.010486 0.264906 0.276339 0.614946
#> Iteration: 175 bestvalit: 29.939508 bestmemit: -6.312336 0.003809 -0.001536 -0.002989 -2.423146 0.208745 0.104177 0.273933 0.249519 0.976440 0.999662 0.695068 0.460179 0.077407 0.828381 0.189352 0.051582
#> Iteration: 200 bestvalit: 29.351531 bestmemit: -3.557642 0.005023 -0.000487 -0.003186 -2.430384 0.197754 0.099398 0.307933 0.312974 0.973982 0.992442 0.308065 0.651830 0.077434 0.888523 0.190273 0.104571
#> Iteration: 225 bestvalit: 28.540491 bestmemit: -3.699282 0.006199 0.000159 0.000944 -2.437521 0.188501 0.104283 0.331438 0.234941 0.967413 0.999821 0.524599 0.346487 0.033596 0.927005 0.230254 0.047443
#> Iteration: 250 bestvalit: 27.222687 bestmemit: -5.122922 0.005803 0.000322 0.001850 -2.433699 0.185894 0.094106 0.310838 0.226975 0.941123 0.997748 0.539852 0.269626 0.000186 0.908264 0.396941 0.098447
#> Iteration: 275 bestvalit: 26.751719 bestmemit: -6.592330 0.006078 0.000663 0.002298 -2.434927 0.182964 0.084885 0.345950 0.218487 0.916862 0.999366 0.359960 0.013551 0.000471 0.761190 0.479819 0.009174
#> Iteration: 300 bestvalit: 26.693918 bestmemit: -6.997163 0.005986 0.000493 0.002436 -2.436473 0.187379 0.085556 0.355457 0.209387 0.913602 0.999919 0.347236 0.000647 0.000090 0.745424 0.491238 0.008166
#> Iteration: 325 bestvalit: 26.630046 bestmemit: -5.343841 0.006332 0.000822 0.002690 -2.439981 0.186039 0.082622 0.375537 0.215900 0.910736 0.999168 0.417764 0.000301 0.000060 0.761545 0.511105 0.011963
#> Iteration: 350 bestvalit: 26.621333 bestmemit: -5.184073 0.006382 0.000825 0.002584 -2.440209 0.185465 0.082138 0.369621 0.219107 0.912894 0.998872 0.405473 0.000081 0.000032 0.761104 0.504394 0.000517
#> Iteration: 375 bestvalit: 26.591885 bestmemit: -5.125602 0.006680 0.001047 0.003053 -2.442798 0.183084 0.082991 0.352464 0.221262 0.913560 0.992166 0.431559 0.000090 0.000025 0.743439 0.519663 0.000304
#> Iteration: 400 bestvalit: 26.567006 bestmemit: -5.457832 0.006756 0.001071 0.003361 -2.443771 0.183073 0.082387 0.346568 0.223263 0.905942 0.985626 0.443077 0.000021 0.000093 0.755198 0.551268 0.002885
#> Iteration: 425 bestvalit: 26.563563 bestmemit: -5.381811 0.006807 0.001120 0.003396 -2.444159 0.182740 0.082430 0.348171 0.226291 0.905401 0.985659 0.438982 0.000566 0.000002 0.751510 0.553803 0.002235
#> Iteration: 450 bestvalit: 26.560424 bestmemit: -5.390643 0.006832 0.001169 0.003384 -2.443650 0.181404 0.082591 0.348932 0.233195 0.904787 0.986653 0.437999 0.001357 0.000003 0.750256 0.555573 0.002443
#> Iteration: 475 bestvalit: 26.553500 bestmemit: -5.117284 0.006981 0.001303 0.003640 -2.444057 0.178890 0.082911 0.354357 0.243258 0.902230 0.987470 0.445161 0.002466 0.000001 0.752295 0.569664 0.007340
#> Iteration: 500 bestvalit: 26.545845 bestmemit: -4.897007 0.006996 0.001357 0.003615 -2.443617 0.177638 0.083925 0.347768 0.250831 0.904855 0.990700 0.424307 0.003395 0.000008 0.754600 0.564125 0.010351
#> Iteration: 525 bestvalit: 26.539951 bestmemit: -4.698840 0.006947 0.001310 0.003471 -2.444013 0.179210 0.084284 0.341167 0.245770 0.908431 0.991604 0.408552 0.002193 0.000003 0.754397 0.553738 0.003418
#> Iteration: 550 bestvalit: 26.519528 bestmemit: -4.436096 0.006951 0.001368 0.003595 -2.443241 0.178205 0.086055 0.342858 0.251903 0.906847 0.999339 0.394096 0.000280 0.000014 0.759156 0.557799 0.003668
#> Iteration: 575 bestvalit: 26.499912 bestmemit: -4.868613 0.006889 0.001303 0.003673 -2.442232 0.177760 0.085094 0.344977 0.257315 0.898086 0.999535 0.431057 0.000121 0.000002 0.762512 0.590783 0.001609
#> Iteration: 600 bestvalit: 26.488610 bestmemit: -4.516870 0.006925 0.001285 0.003637 -2.443052 0.178225 0.085005 0.337679 0.254440 0.901721 0.999927 0.414972 0.000070 0.000000 0.762990 0.584076 0.000144
#> Iteration: 625 bestvalit: 26.471877 bestmemit: -4.437236 0.006979 0.001308 0.003897 -2.443708 0.178643 0.082601 0.339423 0.249788 0.890937 0.999540 0.468614 0.000001 0.000011 0.766191 0.628384 0.001110
#> Iteration: 650 bestvalit: 26.464614 bestmemit: -4.666959 0.006880 0.001144 0.003850 -2.443500 0.180388 0.082363 0.333830 0.244536 0.887192 0.999707 0.484424 0.000283 0.000002 0.766584 0.646636 0.000008
#> Iteration: 675 bestvalit: 26.462394 bestmemit: -4.607054 0.006836 0.001114 0.003818 -2.443425 0.181194 0.082522 0.334813 0.241333 0.886812 0.999942 0.496962 0.000057 0.000000 0.772132 0.648146 0.000026
#> Iteration: 700 bestvalit: 26.462002 bestmemit: -4.614063 0.006833 0.001124 0.003820 -2.443412 0.181166 0.082708 0.334298 0.242345 0.886858 0.999989 0.497692 0.000002 0.000003 0.772635 0.648304 0.000002
#> Iteration: 725 bestvalit: 26.456171 bestmemit: -4.710682 0.006810 0.001153 0.003722 -2.443724 0.182055 0.082099 0.336084 0.244189 0.886784 0.999867 0.493702 0.000171 0.000081 0.769949 0.644825 0.000287
#> Iteration: 750 bestvalit: 26.429520 bestmemit: -5.084449 0.006850 0.001128 0.003924 -2.445332 0.183936 0.081376 0.333539 0.241419 0.883745 0.999275 0.518916 0.000025 0.000342 0.772873 0.651063 0.001448
#> Iteration: 775 bestvalit: 26.428154 bestmemit: -5.249545 0.006839 0.001117 0.003979 -2.444785 0.183105 0.081541 0.332193 0.242605 0.883206 0.999585 0.517838 0.000049 0.000346 0.771690 0.653940 0.001350
#> Iteration: 800 bestvalit: 26.425944 bestmemit: -5.201061 0.006846 0.001119 0.003964 -2.444918 0.183320 0.081406 0.331941 0.242232 0.883054 0.999991 0.521206 0.000163 0.000365 0.773254 0.652837 0.001161
#> Iteration: 825 bestvalit: 26.425487 bestmemit: -5.173102 0.006847 0.001126 0.003962 -2.445090 0.183628 0.081502 0.332128 0.242039 0.882917 0.999997 0.522688 0.000001 0.000366 0.773700 0.652918 0.001057
#> Iteration: 850 bestvalit: 26.425432 bestmemit: -5.175733 0.006850 0.001128 0.003961 -2.445012 0.183425 0.081522 0.332219 0.242682 0.883072 1.000000 0.521805 0.000000 0.000358 0.773669 0.652298 0.000999
#> Iteration: 875 bestvalit: 26.425366 bestmemit: -5.150306 0.006854 0.001136 0.003953 -2.445048 0.183411 0.081496 0.332207 0.242947 0.883238 1.000000 0.519688 0.000000 0.000346 0.773089 0.651759 0.000792
#> Iteration: 900 bestvalit: 26.424838 bestmemit: -5.192251 0.006838 0.001117 0.003945 -2.445109 0.183809 0.081736 0.332243 0.243114 0.882869 0.999995 0.521053 0.000001 0.000321 0.773065 0.653349 0.000074
#> Iteration: 925 bestvalit: 26.424623 bestmemit: -5.217465 0.006837 0.001114 0.003955 -2.444945 0.183610 0.081621 0.331592 0.242272 0.882937 0.999999 0.521442 0.000001 0.000314 0.773468 0.652804 0.000019
#> Iteration: 950 bestvalit: 26.423219 bestmemit: -5.022180 0.006870 0.001147 0.004019 -2.445315 0.183572 0.081333 0.332571 0.241183 0.882929 1.000000 0.522822 0.000001 0.000211 0.773608 0.655896 0.000036
#> Iteration: 975 bestvalit: 26.419536 bestmemit: -5.104706 0.006814 0.001102 0.003932 -2.444677 0.183727 0.081273 0.331005 0.242056 0.883562 0.999997 0.518542 0.000001 0.000006 0.772175 0.655315 0.000435
#> Iteration: 1000 bestvalit: 26.418961 bestmemit: -5.122199 0.006803 0.001082 0.003931 -2.444822 0.184121 0.081410 0.331393 0.242997 0.882850 0.999994 0.523322 0.000001 0.000000 0.772592 0.659255 0.000677
#> Iteration: 1025 bestvalit: 26.418933 bestmemit: -5.107069 0.006809 0.001089 0.003942 -2.444895 0.184116 0.081407 0.331248 0.243391 0.882617 0.999996 0.525205 0.000001 0.000000 0.772995 0.660278 0.000699
#> Iteration: 1050 bestvalit: 26.418903 bestmemit: -5.115823 0.006807 0.001084 0.003936 -2.444878 0.184136 0.081412 0.331217 0.243325 0.882715 0.999998 0.524150 0.000000 0.000000 0.772715 0.659834 0.000666
#> Iteration: 1075 bestvalit: 26.418850 bestmemit: -5.117636 0.006805 0.001079 0.003934 -2.444903 0.184220 0.081465 0.331138 0.243149 0.882732 1.000000 0.524383 0.000000 0.000004 0.773009 0.659841 0.000381
#> Iteration: 1100 bestvalit: 26.418779 bestmemit: -5.126405 0.006806 0.001083 0.003940 -2.444879 0.184161 0.081423 0.331258 0.243283 0.882478 1.000000 0.525174 0.000000 0.000007 0.773111 0.660587 0.000005
#> Iteration: 1125 bestvalit: 26.418751 bestmemit: -5.116789 0.006804 0.001082 0.003927 -2.444888 0.184223 0.081426 0.331421 0.243132 0.882709 1.000000 0.523728 0.000000 0.000007 0.772917 0.659564 0.000001
#> Iteration: 1150 bestvalit: 26.418107 bestmemit: -5.066662 0.006801 0.001078 0.003905 -2.444907 0.184116 0.081847 0.331990 0.246191 0.883652 1.000000 0.521534 0.000001 0.000017 0.774494 0.659686 0.000078
#> Iteration: 1175 bestvalit: 26.408662 bestmemit: -5.030533 0.006750 0.001040 0.003827 -2.445294 0.185913 0.081239 0.327310 0.243644 0.885759 1.000000 0.504961 0.000014 0.000054 0.773735 0.668788 0.002073
#> Iteration: 1200 bestvalit: 26.407611 bestmemit: -5.034115 0.006764 0.001036 0.003873 -2.445303 0.185644 0.081234 0.331408 0.243922 0.885317 1.000000 0.505606 0.000014 0.000055 0.773180 0.670783 0.002348
#> Iteration: 1225 bestvalit: 26.406821 bestmemit: -5.168961 0.006736 0.001016 0.003841 -2.445069 0.185877 0.081273 0.330575 0.244950 0.884796 1.000000 0.506053 0.000014 0.000051 0.772350 0.672587 0.003070
#> Iteration: 1250 bestvalit: 26.398742 bestmemit: -5.189833 0.006702 0.000990 0.003787 -2.444606 0.185740 0.082088 0.334233 0.249376 0.889435 1.000000 0.486142 0.000023 0.000002 0.772566 0.669032 0.012093
#> Iteration: 1275 bestvalit: 26.395869 bestmemit: -5.151802 0.006651 0.000935 0.003738 -2.445048 0.187418 0.081443 0.331383 0.247909 0.889199 1.000000 0.488773 0.000026 0.000000 0.773307 0.682109 0.015072
#> Iteration: 1300 bestvalit: 26.395337 bestmemit: -5.090656 0.006654 0.000924 0.003722 -2.445048 0.187316 0.081528 0.331358 0.248536 0.890080 1.000000 0.489381 0.000023 0.000000 0.775392 0.679922 0.015390
#> Iteration: 1325 bestvalit: 26.394917 bestmemit: -5.046480 0.006639 0.000917 0.003682 -2.444925 0.187352 0.081806 0.331069 0.248151 0.891601 1.000000 0.485552 0.000019 0.000000 0.776754 0.674994 0.015685
#> Iteration: 1350 bestvalit: 26.391691 bestmemit: -4.982674 0.006615 0.000886 0.003608 -2.445077 0.188075 0.082030 0.331484 0.250110 0.894054 1.000000 0.476593 0.000001 0.000008 0.777692 0.673794 0.019264
#> Iteration: 1375 bestvalit: 26.390209 bestmemit: -5.109857 0.006603 0.000880 0.003673 -2.445000 0.188190 0.081596 0.329665 0.248959 0.892225 1.000000 0.482973 0.000000 0.000009 0.776850 0.683172 0.020110
#> Iteration: 1400 bestvalit: 26.387904 bestmemit: -5.213089 0.006640 0.000915 0.003710 -2.444976 0.187535 0.081488 0.330215 0.253647 0.890935 1.000000 0.481204 0.000000 0.000005 0.773344 0.686057 0.020568
#> Iteration: 1425 bestvalit: 26.382675 bestmemit: -5.144560 0.006607 0.000911 0.003695 -2.445050 0.188242 0.081220 0.329792 0.254552 0.892379 1.000000 0.478151 0.000000 0.000000 0.774885 0.694386 0.025149
#> Iteration: 1450 bestvalit: 26.380673 bestmemit: -5.078608 0.006608 0.000948 0.003721 -2.444859 0.187748 0.081606 0.332143 0.256170 0.893551 1.000000 0.476117 0.000000 0.000000 0.776315 0.693619 0.026441
#> Iteration: 1475 bestvalit: 26.373856 bestmemit: -5.197126 0.006540 0.000896 0.003671 -2.444456 0.188610 0.081179 0.328455 0.265822 0.896981 1.000000 0.476311 0.000000 0.000002 0.783242 0.712658 0.039877
#> Iteration: 1500 bestvalit: 26.363078 bestmemit: -5.072551 0.006519 0.000856 0.003501 -2.444544 0.188884 0.082070 0.331233 0.279983 0.908464 1.000000 0.405578 0.000000 0.000001 0.774216 0.710033 0.056135
#> Iteration: 1525 bestvalit: 26.362867 bestmemit: -5.082503 0.006516 0.000863 0.003501 -2.444484 0.188848 0.082150 0.331104 0.280145 0.908971 1.000000 0.402337 0.000000 0.000000 0.773746 0.709257 0.056828
#> Iteration: 1550 bestvalit: 26.362858 bestmemit: -5.104039 0.006511 0.000858 0.003498 -2.444434 0.188876 0.082154 0.331111 0.280100 0.908923 1.000000 0.402500 0.000000 0.000000 0.773720 0.709467 0.056935
#> Iteration: 1575 bestvalit: 26.362858 bestmemit: -5.100229 0.006512 0.000858 0.003499 -2.444442 0.188872 0.082152 0.331141 0.280060 0.908926 1.000000 0.402492 0.000000 0.000000 0.773725 0.709462 0.056907
#> Iteration: 1600 bestvalit: 26.362850 bestmemit: -5.104710 0.006513 0.000858 0.003499 -2.444438 0.188854 0.082147 0.331170 0.280085 0.908845 1.000000 0.402802 0.000000 0.000000 0.773697 0.709386 0.056791
#> Iteration: 1625 bestvalit: 26.362707 bestmemit: -5.133329 0.006522 0.000872 0.003518 -2.444431 0.188636 0.082213 0.331775 0.281992 0.909009 1.000000 0.401234 0.000000 0.000002 0.773217 0.710386 0.057693
#> Iteration: 1650 bestvalit: 26.362366 bestmemit: -5.159520 0.006524 0.000871 0.003539 -2.444591 0.188792 0.082195 0.331051 0.282161 0.908983 1.000000 0.400299 0.000000 0.000011 0.772610 0.713559 0.057287
#> Iteration: 1675 bestvalit: 26.358060 bestmemit: -5.527536 0.006559 0.000908 0.003522 -2.444950 0.188642 0.082070 0.332422 0.276883 0.908629 1.000000 0.391030 0.000004 0.000196 0.766331 0.709483 0.031020
#> Iteration: 1700 bestvalit: 26.357878 bestmemit: -5.602601 0.006577 0.000923 0.003532 -2.445009 0.188435 0.082069 0.332075 0.276413 0.908260 1.000000 0.390844 0.000005 0.000223 0.765279 0.707521 0.026534
#> Iteration: 1725 bestvalit: 26.357581 bestmemit: -5.636409 0.006583 0.000934 0.003510 -2.445110 0.188406 0.082076 0.332201 0.276873 0.908841 1.000000 0.386512 0.000005 0.000255 0.764151 0.706943 0.022745
#> Iteration: 1750 bestvalit: 26.357227 bestmemit: -5.687533 0.006599 0.000941 0.003539 -2.445050 0.188040 0.082141 0.332106 0.277624 0.909088 1.000000 0.385149 0.000005 0.000262 0.763911 0.705860 0.022197
#> Iteration: 1775 bestvalit: 26.348928 bestmemit: -5.723119 0.006555 0.000906 0.003474 -2.445037 0.188677 0.082251 0.329425 0.281607 0.914727 1.000000 0.370553 0.000014 0.000447 0.768040 0.717846 0.000113
#> Iteration: 1800 bestvalit: 26.346682 bestmemit: -5.572798 0.006553 0.000908 0.003514 -2.444947 0.188708 0.082294 0.332674 0.285968 0.911760 1.000000 0.390548 0.000018 0.000406 0.772140 0.724441 0.000159
#> Iteration: 1825 bestvalit: 26.346597 bestmemit: -5.571622 0.006550 0.000904 0.003516 -2.444909 0.188711 0.082294 0.332175 0.286162 0.912093 1.000000 0.390047 0.000018 0.000409 0.772603 0.724997 0.000006
#> Iteration: 1850 bestvalit: 26.346592 bestmemit: -5.577725 0.006552 0.000905 0.003516 -2.444909 0.188683 0.082307 0.332100 0.286262 0.912100 1.000000 0.389824 0.000018 0.000409 0.772494 0.724671 0.000000
#> Iteration: 1875 bestvalit: 26.346590 bestmemit: -5.591514 0.006553 0.000905 0.003518 -2.444911 0.188664 0.082302 0.332061 0.286433 0.912066 1.000000 0.389868 0.000018 0.000411 0.772421 0.724865 0.000000
#> Iteration: 1900 bestvalit: 26.346567 bestmemit: -5.622572 0.006559 0.000911 0.003530 -2.444962 0.188623 0.082269 0.331982 0.286450 0.911835 1.000000 0.392273 0.000018 0.000414 0.773119 0.725318 0.000001
#> Iteration: 1925 bestvalit: 26.346552 bestmemit: -5.707712 0.006561 0.000913 0.003531 -2.444977 0.188589 0.082287 0.332105 0.286795 0.911999 1.000000 0.391595 0.000017 0.000425 0.773002 0.725306 0.000001
#> Iteration: 1950 bestvalit: 26.346510 bestmemit: -5.768549 0.006563 0.000916 0.003532 -2.444999 0.188610 0.082260 0.332313 0.285543 0.911888 1.000000 0.392533 0.000017 0.000428 0.773272 0.724210 0.000000
#> Iteration: 1975 bestvalit: 26.346394 bestmemit: -5.698343 0.006563 0.000911 0.003530 -2.444931 0.188496 0.082315 0.332645 0.285939 0.911925 1.000000 0.394556 0.000019 0.000404 0.774883 0.723392 0.000001
#> Iteration: 2000 bestvalit: 26.346191 bestmemit: -5.751415 0.006564 0.000917 0.003530 -2.445030 0.188629 0.082284 0.332333 0.286858 0.912073 1.000000 0.390567 0.000020 0.000411 0.773162 0.725432 0.000001
#> Iteration: 2025 bestvalit: 26.346171 bestmemit: -5.763720 0.006562 0.000915 0.003529 -2.445003 0.188609 0.082288 0.332218 0.286830 0.912091 1.000000 0.390510 0.000020 0.000411 0.773172 0.725245 0.000000
#> Iteration: 2050 bestvalit: 26.346170 bestmemit: -5.759214 0.006562 0.000915 0.003530 -2.445009 0.188631 0.082277 0.332110 0.286701 0.912046 1.000000 0.390910 0.000020 0.000410 0.773293 0.725388 0.000001
#> ... Finished Calibration.
#> Best solution: 26.3461690830654
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.3State.truc.normal.boxcox.AR2.a0std
#> Reference model name for maximum acceptable calib. solution: model.3State.truc.normal.boxcox.AR1.a0std
#> Reference model maximum acceptable calib. solution: 25.5990458014159
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 180
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 92.323058 bestmemit: -6.714338 0.045812 0.218849 -0.167649 -2.542349 -0.527171 -0.053502 0.744774 0.499346 0.389981 0.890993 0.597288 0.925721 0.033514 0.081273 0.243596 0.726000 0.969598
#> Iteration: 50 bestvalit: 82.141061 bestmemit: -3.047565 -0.016000 -0.177346 -0.176925 -2.320989 0.119371 0.300021 0.470301 0.093877 0.349681 0.881227 0.614508 0.584744 0.850683 0.239859 0.282553 0.774821 0.003882
#> Iteration: 75 bestvalit: 54.133654 bestmemit: -2.491563 -0.004100 0.289986 -0.177867 -2.330408 0.252413 -0.090619 0.447313 0.249817 0.255076 0.990812 0.570609 0.783585 0.757039 0.414072 0.411424 0.723467 0.665961
#> Iteration: 100 bestvalit: 41.888030 bestmemit: -7.780462 0.013189 0.009316 0.185950 -2.493067 0.241355 -0.096198 0.186362 0.430365 0.515700 0.969783 0.989879 0.390677 0.595170 0.226221 0.237745 0.817817 0.292763
#> Iteration: 125 bestvalit: 40.548183 bestmemit: -5.800681 0.009033 0.006321 0.352657 -2.526109 0.384156 -0.149152 0.122953 0.373956 0.325683 0.954702 0.989398 0.389397 0.538965 0.260912 0.255632 0.863864 0.636170
#> Iteration: 150 bestvalit: 34.945793 bestmemit: -5.533929 0.013831 0.008274 -0.029068 -2.530464 0.254647 -0.096126 0.144833 0.474350 0.474436 0.963255 0.972483 0.361282 0.547909 0.098927 0.413444 0.588733 0.437386
#> Iteration: 175 bestvalit: 28.775335 bestmemit: -9.177396 0.008905 0.002847 0.157449 -2.450223 0.178364 -0.036777 0.091450 0.316845 0.182795 0.960623 0.979007 0.767003 0.928258 0.147199 0.307782 0.645785 0.160272
#> Iteration: 200 bestvalit: 27.228135 bestmemit: -6.660034 0.007202 0.001582 0.004767 -2.439902 0.224333 -0.060238 0.101847 0.330603 0.331954 0.960251 0.994528 0.670110 0.814752 0.061245 0.477572 0.989994 0.325787
#> Iteration: 225 bestvalit: 26.958481 bestmemit: -9.868795 0.007658 0.001996 0.005904 -2.454556 0.242946 -0.066628 0.109831 0.268722 0.297923 0.971397 0.994101 0.469747 0.730302 0.008411 0.867713 0.907337 0.041438
#> Iteration: 250 bestvalit: 26.647868 bestmemit: -6.411973 0.008653 0.003625 0.000898 -2.462106 0.224136 -0.055338 0.097262 0.338931 0.065980 0.970905 0.999101 0.257219 0.636171 0.010968 0.753122 0.848109 0.392607
#> Iteration: 275 bestvalit: 26.210402 bestmemit: -8.457100 0.008764 0.002942 0.001570 -2.454723 0.211100 -0.054286 0.088061 0.312510 0.087080 0.967451 0.989594 0.435202 0.383286 0.016168 0.715371 0.943931 0.594551
#> Iteration: 300 bestvalit: 25.819451 bestmemit: -7.541971 0.008103 0.002413 0.001323 -2.445771 0.210402 -0.053556 0.091072 0.379286 0.053186 0.956255 0.999366 0.513864 0.057883 0.017375 0.460430 0.977843 0.839113
#> Iteration: 325 bestvalit: 25.655798 bestmemit: -5.459015 0.008067 0.002412 0.001407 -2.453123 0.221259 -0.054270 0.089452 0.340105 0.054286 0.964617 0.992131 0.493719 0.032021 0.006776 0.474099 0.974319 0.797294
#> Iteration: 350 bestvalit: 25.531414 bestmemit: -5.514073 0.007921 0.002131 0.001609 -2.449946 0.223280 -0.057709 0.089091 0.321626 0.050855 0.960366 0.999491 0.425796 0.010035 0.004031 0.497290 0.986704 0.879834
#> Iteration: 375 bestvalit: 25.473336 bestmemit: -5.586146 0.007905 0.002153 0.001436 -2.448982 0.222622 -0.057229 0.091167 0.328618 0.050105 0.966581 0.999732 0.419026 0.001111 0.000191 0.470540 0.999588 0.672042
#> Iteration: 400 bestvalit: 25.451055 bestmemit: -5.739785 0.008039 0.002273 0.001592 -2.450892 0.221811 -0.056664 0.088730 0.331301 0.050016 0.963249 0.999802 0.514876 0.000982 0.000010 0.458831 0.998452 0.615719
#> Iteration: 425 bestvalit: 25.446942 bestmemit: -5.568918 0.008028 0.002320 0.001543 -2.450709 0.220421 -0.055564 0.088838 0.333004 0.050186 0.964544 0.999920 0.498469 0.000624 0.000128 0.455953 0.999133 0.572471
#> Iteration: 450 bestvalit: 25.441846 bestmemit: -5.584920 0.008036 0.002335 0.001563 -2.451435 0.222014 -0.056280 0.090252 0.335846 0.050293 0.964511 0.999847 0.499403 0.000260 0.000053 0.450877 0.999672 0.415700
#> Iteration: 475 bestvalit: 25.438852 bestmemit: -5.952063 0.008050 0.002343 0.001558 -2.451294 0.221566 -0.056315 0.090191 0.338227 0.050020 0.964696 0.999995 0.492783 0.000089 0.000030 0.454440 0.999807 0.869735
#> Iteration: 500 bestvalit: 25.437749 bestmemit: -6.930049 0.008037 0.002360 0.001538 -2.451425 0.221970 -0.056182 0.090637 0.335588 0.050016 0.964272 0.999990 0.501685 0.000175 0.000033 0.451116 0.999983 0.482636
#> Iteration: 525 bestvalit: 25.437332 bestmemit: -7.048465 0.008034 0.002347 0.001546 -2.451295 0.221860 -0.056268 0.090482 0.335323 0.050011 0.964170 0.999997 0.500969 0.000008 0.000008 0.454622 0.999972 0.315227
#> Iteration: 550 bestvalit: 25.437107 bestmemit: -7.405693 0.008037 0.002350 0.001546 -2.451515 0.222235 -0.056340 0.090749 0.335349 0.050004 0.964354 0.999997 0.500336 0.000002 0.000002 0.451253 0.999995 0.662291
#> Iteration: 575 bestvalit: 25.437066 bestmemit: -7.276961 0.008041 0.002349 0.001550 -2.451507 0.222145 -0.056327 0.090611 0.335810 0.050002 0.964313 0.999999 0.500251 0.000005 0.000001 0.451868 0.999997 0.850280
#> Iteration: 600 bestvalit: 25.437035 bestmemit: -7.677929 0.008041 0.002348 0.001547 -2.451508 0.222053 -0.056242 0.090612 0.335682 0.050000 0.964405 1.000000 0.503136 0.000002 0.000001 0.450715 0.999998 0.848332
#> Iteration: 625 bestvalit: 25.437018 bestmemit: -7.551494 0.008038 0.002346 0.001544 -2.451440 0.222103 -0.056336 0.090586 0.335541 0.050000 0.964365 1.000000 0.502158 0.000001 0.000000 0.451250 0.999999 0.574474
#> Iteration: 650 bestvalit: 25.437011 bestmemit: -7.771946 0.008034 0.002343 0.001542 -2.451429 0.222157 -0.056349 0.090614 0.335572 0.050000 0.964386 1.000000 0.502322 0.000001 0.000000 0.451178 0.999999 0.182006
#> Iteration: 675 bestvalit: 25.437002 bestmemit: -8.169375 0.008033 0.002342 0.001540 -2.451443 0.222195 -0.056330 0.090608 0.335501 0.050000 0.964378 1.000000 0.501579 0.000000 0.000000 0.451346 1.000000 0.725563
#> Iteration: 700 bestvalit: 25.437001 bestmemit: -8.226828 0.008033 0.002342 0.001541 -2.451442 0.222214 -0.056356 0.090627 0.335429 0.050000 0.964389 1.000000 0.501617 0.000000 0.000000 0.451251 1.000000 0.823489
#> Iteration: 725 bestvalit: 25.437000 bestmemit: -8.381043 0.008035 0.002345 0.001542 -2.451456 0.222192 -0.056346 0.090628 0.335503 0.050000 0.964392 1.000000 0.501552 0.000000 0.000000 0.451275 1.000000 0.458718
#> ... Finished Calibration.
#> Best solution: 25.4369993973154
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 25.4369993973154
#> - total population size: 180
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 60.950606 bestmemit: -5.409958 0.013966 0.072816 0.029003 -2.550581 0.316317 -0.188511 0.452931 0.201417 0.192501 0.893008 0.537440 0.965565 0.820698 0.062406 0.290551 0.260781 0.459849
#> Iteration: 50 bestvalit: 58.186830 bestmemit: -5.233324 0.007496 0.083259 0.215699 -2.461159 0.349229 -0.219760 0.352158 0.287856 0.136281 0.917104 0.359605 0.764255 0.905971 0.268893 0.337870 0.095605 0.694475
#> Iteration: 75 bestvalit: 58.186830 bestmemit: -5.233324 0.007496 0.083259 0.215699 -2.461159 0.349229 -0.219760 0.352158 0.287856 0.136281 0.917104 0.359605 0.764255 0.905971 0.268893 0.337870 0.095605 0.694475
#> Iteration: 100 bestvalit: 51.335162 bestmemit: -3.673143 0.013798 0.208616 0.172557 -2.481532 0.199921 -0.146918 0.394688 0.078530 0.383519 0.986640 0.855122 0.318318 0.217596 0.305539 0.442609 0.092220 0.514575
#> Iteration: 125 bestvalit: 47.193527 bestmemit: -4.183657 0.001241 -0.062286 0.023729 -2.414889 0.378463 -0.164920 0.295623 0.095598 0.353093 0.992137 0.645663 0.634979 0.223322 0.414656 0.320393 0.560850 0.632195
#> Iteration: 150 bestvalit: 40.823908 bestmemit: -8.803517 0.007650 0.043873 -0.001114 -2.467631 0.261260 -0.082590 0.186809 0.566792 0.365459 0.970265 0.166511 0.954245 0.792716 0.291261 0.218235 0.359790 0.785916
#> Iteration: 175 bestvalit: 34.257996 bestmemit: -6.727399 0.007397 0.202355 0.002294 -2.465336 0.237335 -0.049667 0.076082 0.257760 0.414577 0.927629 0.393897 0.973622 0.674996 0.560999 0.108352 0.775132 0.486393
#> Iteration: 200 bestvalit: 30.380815 bestmemit: -7.421698 0.006565 -0.116831 0.001216 -2.439851 0.230330 -0.057610 0.095630 0.512022 0.444614 0.954671 0.488326 0.976853 0.602394 0.755669 0.012266 0.436989 0.657010
#> Iteration: 225 bestvalit: 28.187775 bestmemit: -8.606150 0.008473 0.003653 0.001503 -2.449387 0.190640 -0.037821 0.104114 0.671267 0.360452 0.962091 0.610176 0.935878 0.568463 0.732056 0.036537 0.554474 0.822755
#> Iteration: 250 bestvalit: 27.548240 bestmemit: -5.765425 0.008480 0.006294 0.002455 -2.439451 0.205180 -0.069298 0.113050 0.241323 0.353268 0.966832 0.590553 0.975815 0.393859 0.822026 0.022559 0.857364 0.574083
#> Iteration: 275 bestvalit: 26.995450 bestmemit: -5.487964 0.008172 0.004108 0.002312 -2.441683 0.203092 -0.055359 0.094968 0.296924 0.332906 0.963919 0.659595 0.986158 0.524376 0.779647 0.038584 0.641159 0.725377
#> Iteration: 300 bestvalit: 26.201532 bestmemit: -8.338021 0.008374 0.002073 0.002704 -2.453112 0.209285 -0.046563 0.088350 0.062817 0.331335 0.977354 0.347997 0.982837 0.827720 0.574338 0.010508 0.944174 0.412771
#> Iteration: 325 bestvalit: 25.741487 bestmemit: -5.858392 0.008581 0.002081 0.002667 -2.451338 0.212083 -0.055704 0.090646 0.050358 0.327046 0.967395 0.443850 0.986659 0.983009 0.495188 0.007474 0.973204 0.172975
#> Iteration: 350 bestvalit: 25.570247 bestmemit: -7.117684 0.008086 0.001549 0.002302 -2.452545 0.216660 -0.050079 0.091847 0.051224 0.338347 0.965671 0.472669 0.995560 0.984317 0.405700 0.007308 0.999275 0.543717
#> Iteration: 375 bestvalit: 25.491274 bestmemit: -9.381864 0.008017 0.001532 0.002228 -2.451538 0.221861 -0.055407 0.089986 0.051332 0.325477 0.964468 0.507113 0.999203 0.992666 0.402108 0.001926 0.999113 0.722469
#> Iteration: 400 bestvalit: 25.461553 bestmemit: -8.230909 0.008042 0.001585 0.002324 -2.451605 0.221030 -0.055075 0.090100 0.051849 0.334758 0.964184 0.549190 0.999401 0.999942 0.442540 0.000477 0.998553 0.554126
#> Iteration: 425 bestvalit: 25.444545 bestmemit: -9.359603 0.008014 0.001497 0.002307 -2.450950 0.221677 -0.055978 0.090045 0.050149 0.330824 0.963963 0.520562 0.999747 0.999416 0.447744 0.000036 0.998954 0.598888
#> Iteration: 450 bestvalit: 25.440065 bestmemit: -9.259713 0.007982 0.001517 0.002326 -2.451270 0.222900 -0.056230 0.090706 0.050031 0.335686 0.964443 0.490157 0.999892 0.999804 0.448119 0.000056 0.999703 0.319465
#> Iteration: 475 bestvalit: 25.438207 bestmemit: -6.741097 0.007993 0.001488 0.002301 -2.451480 0.222784 -0.056106 0.090678 0.050007 0.335452 0.964604 0.499328 0.999969 0.999974 0.454353 0.000022 0.999880 0.036988
#> Iteration: 500 bestvalit: 25.437275 bestmemit: -7.945090 0.008040 0.001557 0.002351 -2.451444 0.221988 -0.056289 0.090628 0.050014 0.334951 0.964357 0.501620 0.999997 0.999990 0.450140 0.000005 0.999943 0.646215
#> Iteration: 525 bestvalit: 25.437137 bestmemit: -7.962461 0.008026 0.001540 0.002343 -2.451467 0.222350 -0.056317 0.090554 0.050001 0.335436 0.964324 0.501312 0.999996 0.999988 0.452256 0.000002 0.999969 0.385017
#> Iteration: 550 bestvalit: 25.437068 bestmemit: -8.108416 0.008025 0.001539 0.002335 -2.451436 0.222394 -0.056374 0.090644 0.050001 0.335402 0.964369 0.499222 0.999999 0.999992 0.452286 0.000002 0.999995 0.731568
#> Iteration: 575 bestvalit: 25.437017 bestmemit: -8.262892 0.008032 0.001542 0.002343 -2.451439 0.222258 -0.056382 0.090640 0.050000 0.335452 0.964417 0.501209 1.000000 0.999999 0.450907 0.000001 0.999996 0.796647
#> Iteration: 600 bestvalit: 25.437006 bestmemit: -8.161001 0.008037 0.001541 0.002346 -2.451460 0.222143 -0.056322 0.090628 0.050000 0.335461 0.964376 0.501922 1.000000 1.000000 0.451136 0.000000 0.999999 0.151548
#> Iteration: 625 bestvalit: 25.437002 bestmemit: -8.175857 0.008036 0.001544 0.002346 -2.451461 0.222176 -0.056351 0.090615 0.050000 0.335496 0.964404 0.501517 1.000000 1.000000 0.451192 0.000000 1.000000 0.338231
#> Iteration: 650 bestvalit: 25.437000 bestmemit: -8.396002 0.008035 0.001543 0.002345 -2.451464 0.222199 -0.056348 0.090632 0.050000 0.335498 0.964389 0.501527 1.000000 1.000000 0.451272 0.000000 1.000000 0.615689
#> Iteration: 675 bestvalit: 25.437000 bestmemit: -8.371762 0.008034 0.001542 0.002344 -2.451451 0.222205 -0.056357 0.090629 0.050000 0.335495 0.964391 0.501446 1.000000 1.000000 0.451400 0.000000 1.000000 0.370896
#> ... Finished Calibration.
#> Best solution: 25.4369993909518
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 25.4369993909518
#> - total population size: 180
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 95.339615 bestmemit: -8.056093 -0.026923 -0.193677 0.023224 -2.618586 0.162359 -0.278901 0.160739 0.246500 0.690621 0.733720 0.352840 0.978439 0.328741 0.341157 0.060759 0.142767 0.930676
#> Iteration: 50 bestvalit: 67.490808 bestmemit: -8.254585 0.025974 -0.166897 -0.086528 -2.674752 0.115145 -0.134317 0.385999 0.314312 0.364272 0.984954 0.364326 0.960887 0.442517 0.401598 0.217069 0.330212 0.320334
#> Iteration: 75 bestvalit: 51.481340 bestmemit: -3.063775 0.008359 0.015202 -0.178246 -2.457326 0.314144 -0.148318 0.363378 0.431551 0.127096 0.971658 0.526778 0.773777 0.645791 0.372393 0.269717 0.602828 0.611897
#> Iteration: 100 bestvalit: 40.407880 bestmemit: -4.102105 0.016263 0.008494 -0.134162 -2.522931 0.137702 -0.030036 0.081675 0.338091 0.744895 0.958018 0.705369 0.665482 0.963217 0.323310 0.450001 0.621681 0.961823
#> Iteration: 125 bestvalit: 40.407880 bestmemit: -4.102105 0.016263 0.008494 -0.134162 -2.522931 0.137702 -0.030036 0.081675 0.338091 0.744895 0.958018 0.705369 0.665482 0.963217 0.323310 0.450001 0.621681 0.961823
#> Iteration: 150 bestvalit: 37.240638 bestmemit: -6.042432 0.012329 0.002291 0.001045 -2.481304 0.178137 -0.053683 0.062151 0.168816 0.318402 0.872661 0.656530 0.690177 0.850375 0.411423 0.259909 0.775942 0.781258
#> Iteration: 175 bestvalit: 34.489973 bestmemit: -4.345050 0.009715 0.002974 -0.391621 -2.460082 0.176434 -0.034010 0.125270 0.498835 0.658111 0.898499 0.919164 0.492116 0.533828 0.231958 0.203131 0.987052 0.634767
#> Iteration: 200 bestvalit: 29.773007 bestmemit: -9.964671 0.008241 0.001017 0.002759 -2.435508 0.158579 -0.023726 0.087708 0.268173 0.312951 0.889734 0.945152 0.487342 0.641430 0.180280 0.394871 0.910067 0.660062
#> Iteration: 225 bestvalit: 27.546072 bestmemit: -5.244953 0.007501 0.002378 0.004161 -2.445626 0.192597 -0.028929 0.098166 0.369695 0.405855 0.950589 0.956885 0.524853 0.525105 0.025315 0.472121 0.792865 0.278575
#> Iteration: 250 bestvalit: 26.959413 bestmemit: -4.723861 0.006992 0.001270 0.002736 -2.435403 0.200442 -0.040705 0.088357 0.323226 0.294141 0.935363 0.986007 0.447300 0.138322 0.056703 0.517392 0.925080 0.345775
#> Iteration: 275 bestvalit: 26.205350 bestmemit: -4.473402 0.008370 0.002836 0.004222 -2.448335 0.202020 -0.049443 0.090064 0.327707 0.196440 0.942707 0.986589 0.409810 0.062219 0.006479 0.715737 0.917608 0.442691
#> Iteration: 300 bestvalit: 25.691555 bestmemit: -4.639035 0.007376 0.001730 0.000797 -2.446235 0.218432 -0.047411 0.091588 0.315657 0.053129 0.967863 0.996853 0.374394 0.025991 0.003424 0.572088 0.967647 0.789639
#> Iteration: 325 bestvalit: 25.520720 bestmemit: -5.062097 0.007571 0.001802 0.001180 -2.447832 0.222847 -0.052879 0.089707 0.333604 0.051756 0.966774 0.998189 0.463672 0.005149 0.001004 0.419690 0.992838 0.542514
#> Iteration: 350 bestvalit: 25.473101 bestmemit: -6.017188 0.008132 0.002402 0.001619 -2.452629 0.220789 -0.055001 0.089967 0.335003 0.050646 0.964454 0.999513 0.473441 0.005210 0.000509 0.458051 0.985219 0.205127
#> Iteration: 375 bestvalit: 25.446086 bestmemit: -7.569387 0.008094 0.002402 0.001649 -2.451095 0.220203 -0.056443 0.090587 0.337625 0.050371 0.964999 0.999960 0.513512 0.001571 0.000028 0.438210 0.999811 0.523687
#> Iteration: 400 bestvalit: 25.440636 bestmemit: -7.588396 0.008072 0.002378 0.001588 -2.451447 0.221083 -0.056036 0.090871 0.338347 0.050067 0.963888 0.999963 0.507383 0.000296 0.000108 0.450708 0.998913 0.297942
#> Iteration: 425 bestvalit: 25.438529 bestmemit: -7.572333 0.008050 0.002361 0.001538 -2.451195 0.221413 -0.056150 0.090365 0.337805 0.050014 0.964344 0.999967 0.500654 0.000008 0.000047 0.451260 0.999715 0.538735
#> Iteration: 450 bestvalit: 25.437634 bestmemit: -7.306445 0.008041 0.002357 0.001535 -2.451335 0.221907 -0.056420 0.090461 0.335055 0.050011 0.964573 1.000000 0.501860 0.000085 0.000000 0.451638 0.999781 0.592650
#> Iteration: 475 bestvalit: 25.437196 bestmemit: -7.356531 0.008048 0.002356 0.001559 -2.451429 0.221835 -0.056277 0.090517 0.335284 0.050003 0.964319 0.999997 0.504548 0.000002 0.000001 0.448568 0.999983 0.530361
#> Iteration: 500 bestvalit: 25.437075 bestmemit: -8.638171 0.008041 0.002349 0.001548 -2.451469 0.222208 -0.056497 0.090584 0.335114 0.050002 0.964337 0.999999 0.502760 0.000010 0.000000 0.451470 0.999993 0.542277
#> Iteration: 525 bestvalit: 25.437027 bestmemit: -8.711472 0.008038 0.002348 0.001545 -2.451478 0.222146 -0.056357 0.090665 0.335206 0.050000 0.964411 0.999999 0.501968 0.000001 0.000001 0.450800 0.999998 0.861695
#> Iteration: 550 bestvalit: 25.437015 bestmemit: -8.271971 0.008033 0.002343 0.001539 -2.451440 0.222216 -0.056375 0.090674 0.335449 0.050000 0.964409 1.000000 0.502178 0.000000 0.000001 0.450896 0.999997 0.709899
#> Iteration: 575 bestvalit: 25.437003 bestmemit: -8.025607 0.008035 0.002345 0.001543 -2.451453 0.222196 -0.056364 0.090636 0.335340 0.050000 0.964363 1.000000 0.501459 0.000000 0.000000 0.451352 0.999999 0.531260
#> Iteration: 600 bestvalit: 25.437001 bestmemit: -8.018850 0.008035 0.002345 0.001543 -2.451442 0.222163 -0.056341 0.090626 0.335411 0.050000 0.964377 1.000000 0.501544 0.000000 0.000000 0.451424 1.000000 0.587708
#> Iteration: 625 bestvalit: 25.437000 bestmemit: -8.176956 0.008034 0.002345 0.001542 -2.451451 0.222191 -0.056343 0.090629 0.335551 0.050000 0.964402 1.000000 0.501543 0.000000 0.000000 0.451261 1.000000 0.223876
#> Iteration: 650 bestvalit: 25.436999 bestmemit: -8.146559 0.008034 0.002344 0.001542 -2.451451 0.222205 -0.056357 0.090633 0.335506 0.050000 0.964394 1.000000 0.501688 0.000000 0.000000 0.451272 1.000000 0.330687
#> ... Finished Calibration.
#> Best solution: 25.4369992788274
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 25.4369992788274
#> - total population size: 180
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 105.017544 bestmemit: -5.500554 0.016286 -0.019712 0.160894 -2.816489 0.036032 0.336325 0.312605 0.337433 0.561707 0.802924 0.369605 0.998874 0.073116 0.438084 0.119973 0.605511 0.262260
#> Iteration: 50 bestvalit: 81.838298 bestmemit: -3.605663 -0.218721 0.088164 0.030101 -2.684546 0.283165 -0.342577 0.560832 0.237605 0.673739 0.950566 0.670472 0.884459 0.299518 0.265307 0.062337 0.652654 0.660317
#> Iteration: 75 bestvalit: 69.991768 bestmemit: -6.156122 0.017771 -0.025889 0.016662 -2.758383 0.253954 0.028766 0.401958 0.561281 0.445084 0.793978 0.488969 0.785541 0.053788 0.509062 0.144535 0.602717 0.378703
#> Iteration: 100 bestvalit: 57.232189 bestmemit: -5.920758 0.019704 0.129168 0.208512 -2.607176 0.317794 -0.219838 0.378402 0.303606 0.572538 0.942733 0.489063 0.791374 0.286579 0.513764 0.248972 0.735389 0.242902
#> Iteration: 125 bestvalit: 50.448032 bestmemit: -7.896649 0.008790 0.039345 -0.259923 -2.481179 0.248807 -0.083507 0.355956 0.360332 0.644427 0.933091 0.649349 0.784175 0.725181 0.428918 0.089935 0.866842 0.233560
#> Iteration: 150 bestvalit: 44.284657 bestmemit: -6.242810 0.011767 -0.053832 0.007943 -2.518456 0.233233 -0.082250 0.310230 0.248611 0.382230 0.985853 0.339128 0.950238 0.120918 0.686215 0.269897 0.592427 0.259822
#> Iteration: 175 bestvalit: 36.510444 bestmemit: -6.562364 0.001764 0.116382 -0.005166 -2.407839 0.252041 -0.044377 0.149509 0.328833 0.474348 0.972778 0.378222 0.961158 0.334993 0.695633 0.242760 0.668148 0.600240
#> Iteration: 200 bestvalit: 29.808217 bestmemit: -9.022955 0.005728 0.490193 -0.000068 -2.460039 0.285331 -0.058792 0.139055 0.685622 0.350698 0.989360 0.593514 0.981727 0.087999 0.729641 0.053544 0.791988 0.819179
#> Iteration: 225 bestvalit: 28.054782 bestmemit: -4.766068 0.007446 0.453420 0.001940 -2.443446 0.219263 -0.052235 0.111353 0.617687 0.298398 0.962010 0.522558 0.982576 0.130890 0.779442 0.052701 0.822215 0.721153
#> Iteration: 250 bestvalit: 27.032310 bestmemit: -7.279429 0.008187 0.005226 0.002406 -2.452964 0.221863 -0.055835 0.090421 0.586246 0.275538 0.966390 0.480655 0.981272 0.264983 0.787290 0.055438 0.744503 0.564565
#> Iteration: 275 bestvalit: 26.894543 bestmemit: -8.383986 0.008043 0.009242 0.002792 -2.455038 0.233004 -0.062618 0.106864 0.623014 0.275402 0.970965 0.492305 0.994997 0.034573 0.806781 0.045785 0.812233 0.900934
#> Iteration: 300 bestvalit: 26.227656 bestmemit: -7.203850 0.007890 0.004040 0.002465 -2.444859 0.215126 -0.055104 0.092963 0.180367 0.316625 0.948003 0.406030 0.995649 0.974491 0.658377 0.009362 0.834248 0.747726
#> Iteration: 325 bestvalit: 25.752602 bestmemit: -5.996797 0.007892 0.001400 0.002157 -2.449925 0.229049 -0.063058 0.096159 0.050730 0.317678 0.957186 0.405412 0.994787 0.963989 0.525666 0.002259 0.900842 0.609875
#> Iteration: 350 bestvalit: 25.567742 bestmemit: -7.166750 0.008045 0.001656 0.002318 -2.453191 0.233274 -0.065110 0.091467 0.050383 0.324376 0.963046 0.442253 0.999657 0.969355 0.437542 0.004234 0.987171 0.593395
#> Iteration: 375 bestvalit: 25.490693 bestmemit: -7.183639 0.008047 0.001584 0.002561 -2.452783 0.223352 -0.055780 0.092725 0.051290 0.340808 0.966570 0.545638 0.999962 0.999378 0.453813 0.001227 0.995454 0.339325
#> Iteration: 400 bestvalit: 25.454177 bestmemit: -8.348775 0.008008 0.001501 0.002345 -2.449931 0.220349 -0.056398 0.091232 0.050445 0.341773 0.966222 0.534546 0.999758 0.997615 0.441021 0.000059 0.999846 0.561763
#> Iteration: 425 bestvalit: 25.444501 bestmemit: -7.986169 0.008026 0.001503 0.002314 -2.450648 0.220824 -0.055966 0.090748 0.050410 0.341109 0.964046 0.509784 0.999909 0.999705 0.438258 0.000243 0.999980 0.235309
#> Iteration: 450 bestvalit: 25.440360 bestmemit: -8.700122 0.008039 0.001512 0.002334 -2.451530 0.222433 -0.056483 0.091059 0.050168 0.338072 0.964450 0.506051 0.999984 0.999973 0.450024 0.000103 0.999313 0.318412
#> Iteration: 475 bestvalit: 25.438345 bestmemit: -7.120836 0.008045 0.001541 0.002357 -2.451478 0.222028 -0.056392 0.090922 0.050002 0.336942 0.964655 0.502596 0.999995 0.999939 0.445335 0.000075 0.999511 0.737654
#> Iteration: 500 bestvalit: 25.437489 bestmemit: -8.151541 0.008032 0.001543 0.002353 -2.451398 0.222347 -0.056579 0.090603 0.050007 0.334716 0.964116 0.502013 0.999988 0.999931 0.450348 0.000012 0.999964 0.547652
#> Iteration: 525 bestvalit: 25.437232 bestmemit: -8.173783 0.008044 0.001549 0.002349 -2.451485 0.222244 -0.056511 0.090763 0.050003 0.335485 0.964158 0.501000 0.999994 0.999976 0.452066 0.000001 0.999953 0.213391
#> Iteration: 550 bestvalit: 25.437090 bestmemit: -7.495368 0.008035 0.001547 0.002345 -2.451510 0.222236 -0.056291 0.090588 0.050003 0.335323 0.964497 0.502194 0.999999 0.999999 0.450698 0.000001 0.999982 0.486748
#> Iteration: 575 bestvalit: 25.437028 bestmemit: -8.342643 0.008036 0.001544 0.002345 -2.451485 0.222233 -0.056374 0.090702 0.050000 0.335518 0.964428 0.501005 1.000000 0.999997 0.452068 0.000001 0.999998 0.463010
#> Iteration: 600 bestvalit: 25.437014 bestmemit: -8.072933 0.008039 0.001546 0.002350 -2.451513 0.222208 -0.056355 0.090663 0.050000 0.335453 0.964394 0.501531 1.000000 0.999998 0.451637 0.000000 0.999998 0.326412
#> Iteration: 625 bestvalit: 25.437004 bestmemit: -8.190547 0.008034 0.001541 0.002343 -2.451454 0.222225 -0.056351 0.090626 0.050000 0.335388 0.964369 0.502463 1.000000 0.999999 0.451076 0.000000 1.000000 0.439245
#> Iteration: 650 bestvalit: 25.437001 bestmemit: -8.226730 0.008035 0.001542 0.002344 -2.451455 0.222198 -0.056348 0.090623 0.050000 0.335464 0.964394 0.501997 1.000000 1.000000 0.451192 0.000000 1.000000 0.671807
#> Iteration: 675 bestvalit: 25.437000 bestmemit: -8.144296 0.008034 0.001542 0.002344 -2.451448 0.222199 -0.056347 0.090633 0.050000 0.335466 0.964387 0.501502 1.000000 1.000000 0.451287 0.000000 1.000000 0.642475
#> Iteration: 700 bestvalit: 25.436999 bestmemit: -8.173813 0.008034 0.001541 0.002344 -2.451446 0.222205 -0.056352 0.090637 0.050000 0.335482 0.964398 0.501589 1.000000 1.000000 0.451329 0.000000 1.000000 0.864168
#> ... Finished Calibration.
#> Best solution: 25.4369993336938
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.3State.normal.boxcox.AR2.a0std
#> Reference model name for maximum acceptable calib. solution: model.3State.normal.boxcox.AR1.a0std
#> Reference model maximum acceptable calib. solution: 26.481869384672
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 180
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 99.245163 bestmemit: -5.052934 0.366130 0.036686 -0.212325 -2.645497 -0.073058 -0.168060 0.408782 0.491433 0.270793 0.764655 0.659337 0.777916 0.914444 0.029252 0.411193 0.656524 0.190917
#> Iteration: 50 bestvalit: 45.847476 bestmemit: -3.212047 0.014861 0.006621 0.057066 -2.513883 0.154815 -0.046349 0.230260 0.539566 0.399896 0.957128 0.681590 0.676976 0.195190 0.207180 0.447824 0.435311 0.079191
#> Iteration: 75 bestvalit: 31.338169 bestmemit: -2.608628 0.007118 -0.000139 0.001890 -2.436174 0.186648 -0.018436 0.089330 0.556192 0.602626 0.932321 0.651711 0.728185 0.828651 0.086373 0.432973 0.498119 0.541244
#> Iteration: 100 bestvalit: 27.391400 bestmemit: -4.197835 0.008245 0.001965 0.004978 -2.457543 0.210112 -0.040828 0.087200 0.370573 0.336268 0.962142 0.779430 0.443506 0.123637 0.000412 0.418197 0.679953 0.020973
#> Iteration: 125 bestvalit: 26.535988 bestmemit: -4.333620 0.007955 0.002076 0.003411 -2.449009 0.216482 -0.053393 0.095222 0.291695 0.234967 0.965754 0.883327 0.283339 0.000867 0.002405 0.310544 0.999405 0.810808
#> Iteration: 150 bestvalit: 26.402493 bestmemit: -3.482659 0.008132 0.002359 0.002845 -2.452620 0.222715 -0.057850 0.101226 0.304678 0.160517 0.977990 0.990875 0.179142 0.003394 0.001163 0.317758 0.999386 0.350183
#> Iteration: 175 bestvalit: 26.343875 bestmemit: -3.705533 0.007967 0.002265 0.002353 -2.451994 0.227728 -0.060612 0.099760 0.278778 0.132852 0.977521 0.998494 0.139896 0.010759 0.000010 0.312892 0.999226 0.094334
#> Iteration: 200 bestvalit: 26.192285 bestmemit: -3.493500 0.007932 0.002255 0.001792 -2.452221 0.234803 -0.067475 0.102624 0.279238 0.050653 0.979556 0.999595 0.164316 0.023367 0.003103 0.241981 0.979256 0.150703
#> Iteration: 225 bestvalit: 26.159033 bestmemit: -3.692105 0.007911 0.002300 0.001739 -2.453692 0.236797 -0.066968 0.102550 0.298244 0.050257 0.980517 0.997971 0.223635 0.059665 0.008929 0.210966 0.959762 0.639641
#> Iteration: 250 bestvalit: 26.041308 bestmemit: -3.807390 0.008102 0.002329 0.001594 -2.452498 0.225735 -0.060166 0.094707 0.298776 0.050003 0.969765 0.988437 0.206581 0.005583 0.027521 0.314956 0.908177 0.572222
#> Iteration: 275 bestvalit: 25.981280 bestmemit: -3.748154 0.007783 0.002066 0.001338 -2.448736 0.225857 -0.059297 0.094941 0.316140 0.050009 0.971974 0.988715 0.288140 0.000995 0.030939 0.253329 0.963140 0.356098
#> Iteration: 300 bestvalit: 25.972958 bestmemit: -3.770784 0.007728 0.001972 0.001250 -2.448426 0.224715 -0.057496 0.093624 0.317839 0.050001 0.971798 0.989332 0.303755 0.000011 0.032088 0.239485 0.975380 0.948574
#> Iteration: 325 bestvalit: 25.970625 bestmemit: -3.790997 0.007687 0.001938 0.001176 -2.447816 0.225099 -0.057910 0.094362 0.317170 0.050001 0.971895 0.990065 0.309105 0.000005 0.032840 0.234717 0.983817 0.972760
#> Iteration: 350 bestvalit: 25.958561 bestmemit: -3.858331 0.007734 0.001999 0.001267 -2.448744 0.226457 -0.058830 0.093682 0.316387 0.050001 0.970906 0.990572 0.313642 0.000002 0.040894 0.241747 0.999254 0.232308
#> Iteration: 375 bestvalit: 25.954395 bestmemit: -3.847371 0.007700 0.001973 0.001210 -2.449003 0.225630 -0.057050 0.093152 0.315892 0.050000 0.969452 0.991372 0.310900 0.000009 0.043958 0.251315 0.999879 0.149758
#> Iteration: 400 bestvalit: 25.949857 bestmemit: -3.764283 0.007705 0.001946 0.001169 -2.448683 0.224733 -0.056949 0.093469 0.315334 0.050001 0.970208 0.993678 0.295010 0.000006 0.042138 0.259404 0.999791 0.729147
#> Iteration: 425 bestvalit: 25.948103 bestmemit: -3.785541 0.007820 0.002054 0.001272 -2.449552 0.223854 -0.057075 0.093414 0.314730 0.050002 0.970398 0.993789 0.294402 0.000002 0.042084 0.254801 0.999981 0.813346
#> Iteration: 450 bestvalit: 25.944903 bestmemit: -3.851370 0.007863 0.002151 0.001310 -2.450256 0.224051 -0.057411 0.093603 0.316040 0.050008 0.970847 0.995964 0.300257 0.000005 0.042854 0.241494 0.999993 0.291429
#> Iteration: 475 bestvalit: 25.922249 bestmemit: -3.824220 0.007881 0.002145 0.001279 -2.449059 0.222853 -0.057562 0.092898 0.319537 0.050032 0.969603 0.999869 0.307339 0.000045 0.044595 0.241019 0.999806 0.663862
#> Iteration: 500 bestvalit: 25.918164 bestmemit: -3.841447 0.007884 0.002105 0.001329 -2.448836 0.221123 -0.056238 0.092529 0.319734 0.050035 0.968850 0.999999 0.303787 0.000051 0.047737 0.253904 0.999724 0.424087
#> Iteration: 525 bestvalit: 25.917670 bestmemit: -3.881039 0.007897 0.002128 0.001340 -2.449201 0.221256 -0.056119 0.092680 0.319913 0.050036 0.969170 1.000000 0.306049 0.000054 0.048661 0.252935 0.999687 0.719334
#> Iteration: 550 bestvalit: 25.917652 bestmemit: -3.882377 0.007892 0.002123 0.001335 -2.449156 0.221215 -0.056060 0.092585 0.319769 0.050035 0.969203 1.000000 0.305395 0.000054 0.048663 0.253542 0.999685 0.989992
#> Iteration: 575 bestvalit: 25.917644 bestmemit: -3.881031 0.007891 0.002122 0.001333 -2.449161 0.221274 -0.056070 0.092593 0.319861 0.050035 0.969216 1.000000 0.305832 0.000054 0.048563 0.253012 0.999684 0.963825
#> Iteration: 600 bestvalit: 25.917560 bestmemit: -3.883568 0.007882 0.002111 0.001328 -2.449229 0.221583 -0.056082 0.092563 0.320071 0.050036 0.969239 1.000000 0.307155 0.000062 0.048391 0.251733 0.999611 0.590584
#> Iteration: 625 bestvalit: 25.916949 bestmemit: -3.882003 0.007896 0.002146 0.001328 -2.449440 0.221279 -0.055706 0.092326 0.320697 0.050040 0.969250 1.000000 0.306711 0.000115 0.049261 0.255210 0.999004 0.541875
#> Iteration: 650 bestvalit: 25.896175 bestmemit: -3.939166 0.007732 0.002043 0.001262 -2.448932 0.219948 -0.051969 0.090462 0.324741 0.050164 0.966963 1.000000 0.296007 0.001952 0.045325 0.293207 0.975723 0.500011
#> Iteration: 675 bestvalit: 25.774224 bestmemit: -5.012304 0.007948 0.002173 0.001451 -2.449919 0.221219 -0.055878 0.090166 0.335012 0.050913 0.968013 1.000000 0.234397 0.012822 0.003387 0.428319 0.837018 0.731251
#> Iteration: 700 bestvalit: 25.758590 bestmemit: -4.429156 0.007899 0.002201 0.001455 -2.450376 0.222200 -0.055241 0.091459 0.329725 0.050827 0.968064 1.000000 0.189370 0.011799 0.000150 0.453222 0.849416 0.471085
#> Iteration: 725 bestvalit: 25.757474 bestmemit: -4.427354 0.007863 0.002156 0.001395 -2.450402 0.223001 -0.055214 0.091583 0.330450 0.050834 0.967485 1.000000 0.192220 0.011924 0.000013 0.454542 0.847862 0.601987
#> Iteration: 750 bestvalit: 25.756890 bestmemit: -4.493685 0.007887 0.002174 0.001410 -2.450500 0.222395 -0.054958 0.091795 0.330555 0.050840 0.967525 1.000000 0.199503 0.011960 0.000014 0.447645 0.847470 0.282524
#> Iteration: 775 bestvalit: 25.739837 bestmemit: -4.695006 0.007818 0.002064 0.001179 -2.450122 0.221184 -0.052845 0.091071 0.335167 0.050947 0.965300 0.999994 0.266117 0.012273 0.000249 0.429421 0.849462 0.196365
#> Iteration: 800 bestvalit: 25.541106 bestmemit: -4.215703 0.007920 0.002215 0.001404 -2.450192 0.222077 -0.055671 0.092426 0.324023 0.051387 0.966030 0.999943 0.552486 0.007012 0.003184 0.410868 0.967931 0.481690
#> Iteration: 825 bestvalit: 25.534047 bestmemit: -4.124797 0.007985 0.002292 0.001515 -2.450878 0.222913 -0.056884 0.090752 0.318836 0.051397 0.966133 0.999939 0.560810 0.006276 0.003300 0.407240 0.981839 0.828341
#> Iteration: 850 bestvalit: 25.520923 bestmemit: -4.166698 0.007956 0.002259 0.001515 -2.450144 0.222322 -0.056794 0.090674 0.322688 0.051506 0.966212 0.999934 0.579030 0.006978 0.000009 0.408321 0.978538 0.562011
#> Iteration: 875 bestvalit: 25.519316 bestmemit: -4.105265 0.007977 0.002269 0.001525 -2.450845 0.223403 -0.057219 0.090717 0.318785 0.051504 0.966110 0.999933 0.572251 0.006742 0.000001 0.416598 0.982663 0.979868
#> Iteration: 900 bestvalit: 25.519188 bestmemit: -4.111311 0.007976 0.002278 0.001516 -2.450859 0.223294 -0.057064 0.090794 0.319258 0.051500 0.966089 0.999934 0.572869 0.006766 0.000000 0.414148 0.982016 0.898261
#> Iteration: 925 bestvalit: 25.519169 bestmemit: -4.108816 0.007974 0.002275 0.001511 -2.450847 0.223304 -0.057033 0.090752 0.319306 0.051496 0.966109 0.999934 0.571820 0.006758 0.000000 0.413592 0.981914 0.296257
#> Iteration: 950 bestvalit: 25.518951 bestmemit: -4.103919 0.007992 0.002291 0.001513 -2.450929 0.223314 -0.057280 0.090747 0.319320 0.051492 0.966274 0.999934 0.568507 0.006771 0.000000 0.413082 0.981977 0.693604
#> Iteration: 975 bestvalit: 25.515848 bestmemit: -4.133534 0.007914 0.002220 0.001462 -2.450672 0.224995 -0.057930 0.091475 0.318212 0.051580 0.967455 0.999928 0.558123 0.007376 0.000000 0.426904 0.987473 0.317939
#> Iteration: 1000 bestvalit: 25.497603 bestmemit: -4.343847 0.008008 0.002292 0.001567 -2.451677 0.223965 -0.057048 0.091881 0.330797 0.051964 0.968093 0.999908 0.566945 0.010645 0.000000 0.420347 0.999647 0.765165
#> Iteration: 1025 bestvalit: 25.479335 bestmemit: -4.607003 0.008070 0.002379 0.001589 -2.451664 0.222444 -0.056841 0.090289 0.333241 0.052376 0.964353 0.999889 0.524949 0.014949 0.000000 0.447203 0.999814 0.189946
#> Iteration: 1050 bestvalit: 25.477353 bestmemit: -4.761293 0.008006 0.002315 0.001535 -2.451089 0.221787 -0.055853 0.090565 0.331627 0.052442 0.964720 0.999886 0.509849 0.015820 0.000000 0.449202 0.999999 0.195439
#> Iteration: 1075 bestvalit: 25.477301 bestmemit: -4.796005 0.008014 0.002321 0.001537 -2.451170 0.221755 -0.055875 0.090628 0.331187 0.052452 0.964805 0.999886 0.509567 0.015925 0.000000 0.448677 0.999999 0.397657
#> Iteration: 1100 bestvalit: 25.477146 bestmemit: -4.784092 0.008013 0.002325 0.001534 -2.451146 0.221595 -0.055732 0.090612 0.331194 0.052432 0.964906 0.999887 0.507420 0.015835 0.000000 0.450047 0.999980 0.863647
#> Iteration: 1125 bestvalit: 25.477078 bestmemit: -4.814088 0.008004 0.002311 0.001529 -2.451076 0.221707 -0.055727 0.090600 0.331206 0.052439 0.964853 0.999887 0.509814 0.015899 0.000000 0.448977 0.999995 0.101693
#> Iteration: 1150 bestvalit: 25.477020 bestmemit: -4.805384 0.008010 0.002310 0.001531 -2.451015 0.221463 -0.055699 0.090578 0.331342 0.052419 0.964979 0.999888 0.509589 0.015751 0.000000 0.447999 1.000000 0.366192
#> Iteration: 1175 bestvalit: 25.476944 bestmemit: -4.789878 0.008015 0.002311 0.001534 -2.451039 0.221406 -0.055689 0.090490 0.331610 0.052422 0.964811 0.999888 0.508280 0.015793 0.000000 0.451133 0.999995 0.316865
#> Iteration: 1200 bestvalit: 25.476670 bestmemit: -4.819043 0.008012 0.002305 0.001541 -2.451004 0.221001 -0.055307 0.090513 0.331702 0.052409 0.964712 0.999889 0.504327 0.015861 0.000000 0.452513 0.999956 0.641324
#> Iteration: 1225 bestvalit: 25.473229 bestmemit: -4.693279 0.007984 0.002233 0.001531 -2.450427 0.221408 -0.055714 0.091064 0.332407 0.051760 0.964641 0.999921 0.503261 0.011801 0.000000 0.448880 0.999442 0.238212
#> Iteration: 1250 bestvalit: 25.449493 bestmemit: -5.108075 0.008045 0.002324 0.001553 -2.451361 0.221616 -0.056199 0.090735 0.338417 0.050215 0.964057 0.999999 0.513307 0.003812 0.000000 0.440637 0.997549 0.833608
#> Iteration: 1275 bestvalit: 25.447728 bestmemit: -5.212065 0.008021 0.002333 0.001537 -2.451361 0.222457 -0.056514 0.090649 0.334212 0.050219 0.964448 1.000000 0.505596 0.003951 0.000000 0.450302 0.997531 0.522288
#> Iteration: 1300 bestvalit: 25.447643 bestmemit: -5.169294 0.008029 0.002337 0.001538 -2.451412 0.222279 -0.056368 0.090635 0.334002 0.050215 0.964516 1.000000 0.507735 0.003778 0.000000 0.449492 0.997567 0.701012
#> Iteration: 1325 bestvalit: 25.447641 bestmemit: -5.164602 0.008031 0.002339 0.001539 -2.451414 0.222254 -0.056377 0.090647 0.334011 0.050215 0.964518 1.000000 0.508190 0.003757 0.000000 0.449580 0.997568 0.306329
#> Iteration: 1350 bestvalit: 25.447634 bestmemit: -5.151795 0.008030 0.002338 0.001539 -2.451402 0.222247 -0.056388 0.090667 0.334216 0.050212 0.964575 1.000000 0.508000 0.003721 0.000000 0.449601 0.997559 0.555215
#> Iteration: 1375 bestvalit: 25.447551 bestmemit: -5.159981 0.008029 0.002336 0.001536 -2.451407 0.222331 -0.056447 0.090623 0.334970 0.050194 0.964592 1.000000 0.507371 0.003649 0.000000 0.449933 0.997372 0.627832
#> Iteration: 1400 bestvalit: 25.447207 bestmemit: -5.173409 0.008028 0.002332 0.001537 -2.451433 0.222407 -0.056473 0.090616 0.334514 0.050144 0.964487 1.000000 0.510019 0.003193 0.000000 0.448542 0.996895 0.046755
#> Iteration: 1425 bestvalit: 25.447138 bestmemit: -5.178986 0.008030 0.002339 0.001540 -2.451426 0.222289 -0.056381 0.090599 0.334135 0.050141 0.964520 1.000000 0.507944 0.003218 0.000000 0.449687 0.996888 0.459513
#> Iteration: 1450 bestvalit: 25.446211 bestmemit: -5.206075 0.008075 0.002386 0.001578 -2.451810 0.221811 -0.056237 0.090562 0.334603 0.050010 0.964427 1.000000 0.500840 0.003002 0.000000 0.450655 0.996803 0.843602
#> Iteration: 1475 bestvalit: 25.445755 bestmemit: -5.239365 0.008028 0.002337 0.001532 -2.451446 0.222402 -0.056416 0.090664 0.334010 0.050000 0.964545 1.000000 0.507863 0.002871 0.000000 0.448811 0.996824 0.420078
#> Iteration: 1500 bestvalit: 25.445738 bestmemit: -5.238116 0.008030 0.002339 0.001536 -2.451392 0.222255 -0.056398 0.090649 0.334136 0.050000 0.964539 1.000000 0.509050 0.002854 0.000000 0.449009 0.996832 0.397199
#> Iteration: 1525 bestvalit: 25.445734 bestmemit: -5.256312 0.008032 0.002341 0.001539 -2.451399 0.222214 -0.056399 0.090663 0.334171 0.050000 0.964551 1.000000 0.508551 0.002907 0.000000 0.449050 0.996826 0.244041
#> Iteration: 1550 bestvalit: 25.445726 bestmemit: -5.261357 0.008032 0.002341 0.001539 -2.451407 0.222199 -0.056363 0.090650 0.334200 0.050000 0.964545 1.000000 0.508748 0.002918 0.000000 0.448373 0.996836 0.236421
#> Iteration: 1575 bestvalit: 25.445486 bestmemit: -5.374971 0.008025 0.002332 0.001535 -2.451438 0.222333 -0.056309 0.090666 0.333409 0.050000 0.964403 1.000000 0.508889 0.003165 0.000000 0.447054 0.997183 0.551203
#> Iteration: 1600 bestvalit: 25.445356 bestmemit: -5.285088 0.008033 0.002342 0.001540 -2.451402 0.222214 -0.056389 0.090679 0.334129 0.050000 0.964550 1.000000 0.508901 0.002997 0.000000 0.449036 0.997232 0.145436
#> Iteration: 1625 bestvalit: 25.445354 bestmemit: -5.277951 0.008032 0.002341 0.001540 -2.451400 0.222235 -0.056411 0.090668 0.334028 0.050000 0.964553 1.000000 0.508845 0.002973 0.000000 0.449009 0.997235 0.171591
#> Iteration: 1650 bestvalit: 25.445349 bestmemit: -5.281935 0.008028 0.002336 0.001537 -2.451364 0.222245 -0.056400 0.090636 0.334004 0.050000 0.964536 1.000000 0.508672 0.002989 0.000000 0.449046 0.997248 0.264084
#> Iteration: 1675 bestvalit: 25.445322 bestmemit: -5.266467 0.008032 0.002339 0.001539 -2.451391 0.222225 -0.056407 0.090645 0.334085 0.050000 0.964544 1.000000 0.509039 0.002966 0.000000 0.448961 0.997297 0.642807
#> Iteration: 1700 bestvalit: 25.445320 bestmemit: -5.272430 0.008033 0.002340 0.001539 -2.451397 0.222219 -0.056407 0.090670 0.334144 0.050000 0.964556 1.000000 0.508794 0.002992 0.000000 0.449153 0.997301 0.293065
#> Iteration: 1725 bestvalit: 25.445317 bestmemit: -5.273639 0.008033 0.002342 0.001540 -2.451402 0.222226 -0.056407 0.090664 0.334025 0.050000 0.964549 1.000000 0.508407 0.003001 0.000000 0.449421 0.997310 0.206227
#> Iteration: 1750 bestvalit: 25.445066 bestmemit: -5.290765 0.008029 0.002332 0.001531 -2.451458 0.222594 -0.056603 0.090770 0.333295 0.050000 0.964526 1.000000 0.505323 0.003471 0.000000 0.451454 0.998189 0.585527
#> Iteration: 1775 bestvalit: 25.444284 bestmemit: -5.277985 0.008035 0.002340 0.001540 -2.451448 0.222194 -0.056364 0.090517 0.333908 0.050000 0.964478 1.000000 0.508688 0.004243 0.000000 0.450754 0.999992 0.462723
#> Iteration: 1800 bestvalit: 25.444248 bestmemit: -5.294758 0.008035 0.002344 0.001540 -2.451441 0.222226 -0.056407 0.090643 0.334129 0.050000 0.964497 1.000000 0.509023 0.004299 0.000000 0.449818 0.999999 0.664659
#> Iteration: 1825 bestvalit: 25.444245 bestmemit: -5.296284 0.008033 0.002342 0.001539 -2.451420 0.222244 -0.056408 0.090643 0.334145 0.050000 0.964538 1.000000 0.508516 0.004309 0.000000 0.449798 1.000000 0.254804
#> Iteration: 1850 bestvalit: 25.444244 bestmemit: -5.293507 0.008032 0.002341 0.001539 -2.451416 0.222250 -0.056409 0.090651 0.334145 0.050000 0.964539 1.000000 0.508330 0.004305 0.000000 0.449763 1.000000 0.868770
#> ... Finished Calibration.
#> Best solution: 25.4442435151519
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 25.4442435151519
#> - total population size: 180
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 89.551371 bestmemit: -9.008330 0.000479 0.084656 -0.201687 -2.489815 0.184220 0.223444 0.284279 0.300564 0.053260 0.979466 0.726977 0.404144 0.747623 0.320013 0.274981 0.151615 0.588986
#> Iteration: 50 bestvalit: 89.551371 bestmemit: -9.008330 0.000479 0.084656 -0.201687 -2.489815 0.184220 0.223444 0.284279 0.300564 0.053260 0.979466 0.726977 0.404144 0.747623 0.320013 0.274981 0.151615 0.588986
#> Iteration: 75 bestvalit: 62.243461 bestmemit: -6.932594 -0.004298 0.343059 -0.191564 -2.347487 0.015319 0.186178 0.419829 0.089297 0.072191 0.948413 0.892356 0.260479 0.779391 0.166303 0.447316 0.963330 0.642033
#> Iteration: 100 bestvalit: 54.099370 bestmemit: -3.767837 0.014414 0.342752 -0.312680 -2.477807 0.285916 -0.270185 0.356189 0.655238 0.682868 0.981553 0.712567 0.513858 0.273540 0.235001 0.366400 0.640679 0.660821
#> Iteration: 125 bestvalit: 45.025317 bestmemit: -6.805868 0.007909 0.297896 0.180118 -2.446576 0.211814 -0.086605 0.261363 0.536845 0.475642 0.990176 0.778949 0.489497 0.367290 0.388111 0.250890 0.816106 0.674956
#> Iteration: 150 bestvalit: 38.291208 bestmemit: -5.806611 0.008973 0.001410 -0.457495 -2.473270 0.330396 -0.153903 0.134497 0.657504 0.340659 0.973837 0.884131 0.453289 0.779383 0.277732 0.316688 0.878762 0.374234
#> Iteration: 175 bestvalit: 31.407344 bestmemit: -8.247488 0.010908 0.003064 -0.060752 -2.464724 0.167232 -0.044815 0.098382 0.363167 0.387009 0.993808 0.998373 0.208377 0.725414 0.101897 0.398561 0.861393 0.875282
#> Iteration: 200 bestvalit: 28.773944 bestmemit: -8.060160 0.006133 0.001343 0.479131 -2.437852 0.242349 -0.066620 0.113271 0.371770 0.313623 0.972265 0.987407 0.238694 0.747322 0.086134 0.701792 0.829586 0.157054
#> Iteration: 225 bestvalit: 27.931226 bestmemit: -8.628418 0.007634 0.002671 0.274894 -2.456679 0.229291 -0.052355 0.109672 0.349893 0.492323 0.977321 0.977259 0.429540 0.903853 0.001275 0.573823 0.799007 0.471510
#> Iteration: 250 bestvalit: 27.169343 bestmemit: -5.581294 0.007997 0.002752 0.004592 -2.451302 0.220032 -0.056487 0.104975 0.319578 0.625577 0.976342 0.972300 0.323338 0.735326 0.014323 0.729728 0.803401 0.818683
#> Iteration: 275 bestvalit: 26.756181 bestmemit: -6.342130 0.007231 0.001842 0.008257 -2.448753 0.226925 -0.050989 0.112461 0.296621 0.402960 0.988135 0.991014 0.249975 0.911976 0.007370 0.859720 0.795729 0.282282
#> Iteration: 300 bestvalit: 26.492514 bestmemit: -8.133499 0.007433 0.002105 0.010356 -2.452102 0.235021 -0.059252 0.115128 0.296467 0.290525 0.983521 0.995606 0.202111 0.917535 0.005373 0.929226 0.863766 0.059040
#> Iteration: 325 bestvalit: 26.350113 bestmemit: -9.276511 0.007082 0.001749 0.013047 -2.446569 0.239092 -0.065231 0.112709 0.306694 0.167739 0.989365 0.999666 0.147651 0.953634 0.001563 0.948259 0.918144 0.049323
#> Iteration: 350 bestvalit: 26.280995 bestmemit: -6.336767 0.006998 0.001690 0.013586 -2.446848 0.239729 -0.063534 0.112126 0.305308 0.063930 0.987473 0.999181 0.102723 0.992866 0.001420 0.962535 0.952731 0.076022
#> Iteration: 375 bestvalit: 26.253018 bestmemit: -6.815649 0.007288 0.001861 0.014250 -2.448067 0.238400 -0.066372 0.110484 0.298633 0.057911 0.987133 0.999654 0.139504 0.990968 0.002146 0.970364 0.943357 0.164345
#> Iteration: 400 bestvalit: 26.229115 bestmemit: -8.117559 0.007395 0.001969 0.013865 -2.448361 0.235661 -0.064963 0.109289 0.307294 0.058502 0.987563 0.999835 0.157087 0.999408 0.000157 0.976856 0.944993 0.090397
#> Iteration: 425 bestvalit: 26.218796 bestmemit: -9.815651 0.007304 0.001928 0.013976 -2.448330 0.238231 -0.065768 0.111519 0.303932 0.052213 0.986226 0.999849 0.155414 0.999314 0.000579 0.985568 0.950421 0.071514
#> Iteration: 450 bestvalit: 26.211984 bestmemit: -8.748701 0.007368 0.001959 0.014135 -2.448981 0.238698 -0.066502 0.111292 0.303846 0.051731 0.986705 0.999947 0.093137 0.999491 0.000313 0.985977 0.952532 0.028513
#> Iteration: 475 bestvalit: 26.209267 bestmemit: -8.685289 0.007334 0.001946 0.014093 -2.449383 0.239821 -0.066210 0.110594 0.304293 0.054326 0.986727 0.999979 0.821215 0.999909 0.000035 0.986587 0.955435 0.002500
#> Iteration: 500 bestvalit: 26.207777 bestmemit: -9.541405 0.007369 0.002005 0.014154 -2.449126 0.238183 -0.065826 0.110396 0.304644 0.050061 0.986888 0.999973 0.294046 0.999730 0.000049 0.986504 0.955368 0.005447
#> Iteration: 525 bestvalit: 26.206509 bestmemit: -8.422146 0.007311 0.001924 0.014140 -2.448746 0.238549 -0.065532 0.110883 0.302683 0.050195 0.986797 0.999995 0.863426 0.999984 0.000054 0.986708 0.956062 0.000632
#> Iteration: 550 bestvalit: 26.206172 bestmemit: -9.513827 0.007341 0.001947 0.014210 -2.449137 0.238711 -0.065707 0.110830 0.303355 0.050407 0.986670 0.999998 0.560378 0.999909 0.000004 0.986644 0.956008 0.001112
#> Iteration: 575 bestvalit: 26.205965 bestmemit: -7.507289 0.007340 0.001943 0.014192 -2.449010 0.238538 -0.065730 0.110637 0.303779 0.050023 0.986824 0.999996 0.311210 0.999917 0.000006 0.986769 0.956060 0.000797
#> Iteration: 600 bestvalit: 26.205810 bestmemit: -8.577274 0.007342 0.001941 0.014196 -2.449060 0.238442 -0.065553 0.110693 0.303710 0.050058 0.986814 1.000000 0.317172 0.999976 0.000004 0.986793 0.956058 0.000148
#> Iteration: 625 bestvalit: 26.205753 bestmemit: -8.873008 0.007347 0.001950 0.014194 -2.449087 0.238494 -0.065688 0.110656 0.303529 0.050014 0.986875 1.000000 0.582357 0.999987 0.000000 0.986870 0.956021 0.000068
#> Iteration: 650 bestvalit: 26.205735 bestmemit: -8.615800 0.007342 0.001945 0.014186 -2.449025 0.238453 -0.065638 0.110731 0.303608 0.050009 0.986843 1.000000 0.544699 0.999996 0.000000 0.986834 0.955989 0.000016
#> Iteration: 675 bestvalit: 26.205713 bestmemit: -8.807274 0.007342 0.001946 0.014186 -2.449041 0.238412 -0.065576 0.110681 0.303812 0.050010 0.986819 1.000000 0.483368 1.000000 0.000000 0.986817 0.956072 0.000033
#> Iteration: 700 bestvalit: 26.205709 bestmemit: -8.130152 0.007342 0.001945 0.014180 -2.449041 0.238419 -0.065589 0.110682 0.303942 0.050002 0.986815 1.000000 0.723707 0.999998 0.000000 0.986814 0.956062 0.000033
#> Iteration: 725 bestvalit: 26.205707 bestmemit: -8.519159 0.007342 0.001945 0.014181 -2.449058 0.238452 -0.065598 0.110671 0.303956 0.050002 0.986810 1.000000 0.141439 0.999999 0.000000 0.986809 0.956109 0.000005
#> Iteration: 750 bestvalit: 26.205705 bestmemit: -8.841345 0.007343 0.001946 0.014182 -2.449059 0.238424 -0.065583 0.110673 0.303852 0.050000 0.986817 1.000000 0.629857 1.000000 0.000000 0.986816 0.956093 0.000012
#> Iteration: 775 bestvalit: 26.205704 bestmemit: -8.501576 0.007343 0.001945 0.014180 -2.449055 0.238409 -0.065568 0.110660 0.303851 0.050000 0.986818 1.000000 0.359170 0.999999 0.000000 0.986818 0.956101 0.000005
#> Iteration: 800 bestvalit: 26.205703 bestmemit: -8.967452 0.007343 0.001946 0.014181 -2.449063 0.238408 -0.065558 0.110663 0.303851 0.050000 0.986817 1.000000 0.653075 1.000000 0.000000 0.986817 0.956115 0.000002
#> ... Finished Calibration.
#> Best solution: 26.2057026076311
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 25.4442435151519
#> - total population size: 180
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 59.633341 bestmemit: -8.156912 0.012900 -0.223204 -0.026834 -2.396978 0.096697 -0.185657 0.591042 0.596653 0.553237 0.986689 0.584952 0.752029 0.103749 0.276123 0.347818 0.534149 0.168081
#> Iteration: 50 bestvalit: 36.250177 bestmemit: -6.213408 0.012682 0.011121 0.005664 -2.479780 0.158597 -0.067298 0.145314 0.513309 0.235723 0.956499 0.688156 0.393759 0.808180 0.297756 0.290288 0.706068 0.330171
#> Iteration: 75 bestvalit: 29.007404 bestmemit: -5.369912 0.008386 0.002290 0.002741 -2.445185 0.198187 -0.049454 0.084833 0.524884 0.394382 0.958690 0.551552 0.502929 0.056751 0.257172 0.215524 0.760216 0.222021
#> Iteration: 100 bestvalit: 28.672743 bestmemit: -5.871308 0.008558 0.002110 0.002996 -2.453907 0.192425 -0.034240 0.089448 0.534230 0.379084 0.947535 0.612152 0.523684 0.012941 0.298161 0.102915 0.813320 0.908224
#> Iteration: 125 bestvalit: 28.141398 bestmemit: -6.346655 0.007709 0.002734 0.001328 -2.446258 0.211970 -0.048482 0.084098 0.526263 0.271702 0.958278 0.690276 0.533095 0.008030 0.330832 0.011664 0.695299 0.992202
#> Iteration: 150 bestvalit: 28.065261 bestmemit: -6.341153 0.007749 0.003533 0.001319 -2.446532 0.214850 -0.052354 0.085489 0.519512 0.264138 0.960374 0.690210 0.540888 0.003823 0.333466 0.000372 0.670194 0.996953
#> Iteration: 175 bestvalit: 27.972433 bestmemit: -6.228558 0.007801 0.003363 0.001496 -2.444543 0.205691 -0.045975 0.090259 0.507812 0.287831 0.961509 0.643133 0.564081 0.002714 0.313488 0.000880 0.578780 0.982653
#> Iteration: 200 bestvalit: 27.960271 bestmemit: -6.234112 0.007871 0.003454 0.001485 -2.444374 0.204687 -0.046783 0.088101 0.507359 0.289117 0.961381 0.640128 0.563952 0.000149 0.310786 0.000146 0.579150 0.995531
#> Iteration: 225 bestvalit: 27.954931 bestmemit: -6.193204 0.007917 0.003398 0.001644 -2.445692 0.206766 -0.047807 0.089154 0.507856 0.296507 0.962214 0.634457 0.566901 0.000022 0.307966 0.000005 0.576460 0.999991
#> Iteration: 250 bestvalit: 27.950809 bestmemit: -6.249470 0.008007 0.003636 0.001640 -2.445902 0.205260 -0.047874 0.088847 0.509686 0.290643 0.962346 0.636186 0.565548 0.000035 0.307832 0.000177 0.577494 0.999368
#> Iteration: 275 bestvalit: 27.929779 bestmemit: -6.536169 0.007912 0.003724 0.001447 -2.444621 0.208389 -0.050944 0.088976 0.534302 0.282359 0.963774 0.619069 0.572808 0.004294 0.295168 0.000702 0.595475 0.993883
#> Iteration: 300 bestvalit: 27.866599 bestmemit: -7.737124 0.007693 0.003642 0.001489 -2.445735 0.213202 -0.050254 0.092898 0.653464 0.263996 0.969332 0.530644 0.604844 0.000290 0.222700 0.005971 0.669339 0.997535
#> Iteration: 325 bestvalit: 27.862422 bestmemit: -7.737937 0.007683 0.003476 0.001523 -2.445410 0.212483 -0.049752 0.093158 0.643988 0.264135 0.968744 0.534123 0.602853 0.000109 0.228801 0.005687 0.653257 0.999866
#> Iteration: 350 bestvalit: 27.850117 bestmemit: -9.003264 0.007413 0.003316 0.001409 -2.445514 0.221845 -0.054632 0.099587 0.735686 0.255685 0.975445 0.438960 0.636349 0.000294 0.179039 0.009912 0.700128 0.999783
#> Iteration: 375 bestvalit: 27.249933 bestmemit: -9.713545 0.006766 0.003334 0.000885 -2.447074 0.241258 -0.060493 0.106877 0.340688 0.260450 0.982493 0.348812 0.679488 0.000066 0.095217 0.015338 0.862705 0.944735
#> Iteration: 400 bestvalit: 26.751249 bestmemit: -6.545274 0.007727 0.006858 0.000487 -2.450883 0.235806 -0.067740 0.106578 0.116702 0.164125 0.983437 0.324027 0.683678 0.001740 0.042053 0.020504 0.994455 0.648869
#> Iteration: 425 bestvalit: 26.718424 bestmemit: -5.798616 0.007326 0.006451 0.000032 -2.447199 0.237303 -0.066609 0.108021 0.121525 0.163679 0.983425 0.314730 0.691779 0.072999 0.036818 0.020645 0.996647 0.813687
#> Iteration: 450 bestvalit: 26.712044 bestmemit: -6.942022 0.007252 0.006404 -0.000034 -2.446757 0.239259 -0.067607 0.108856 0.118939 0.162720 0.983134 0.311791 0.694345 0.092803 0.034875 0.020714 0.999983 0.197132
#> Iteration: 475 bestvalit: 26.682729 bestmemit: -5.108784 0.007092 0.006039 -0.000280 -2.446590 0.240850 -0.065741 0.105434 0.120028 0.159881 0.983954 0.319051 0.689017 0.426180 0.023699 0.020723 0.999936 0.063516
#> Iteration: 500 bestvalit: 26.617851 bestmemit: -9.370204 0.006816 0.005294 -0.000654 -2.448245 0.250386 -0.067814 0.104758 0.141190 0.148579 0.984472 0.331818 0.679938 0.988424 0.010037 0.021755 0.999411 0.273466
#> Iteration: 525 bestvalit: 26.599905 bestmemit: -8.658415 0.006989 0.005409 -0.000486 -2.449095 0.249725 -0.069660 0.105378 0.144817 0.151031 0.983232 0.332415 0.682461 0.962997 0.007916 0.021024 0.999842 0.511501
#> Iteration: 550 bestvalit: 26.546965 bestmemit: -8.120353 0.007056 0.005839 -0.000212 -2.449674 0.247644 -0.067669 0.108405 0.127476 0.159085 0.985261 0.325752 0.701273 0.940262 0.000282 0.017614 0.999506 0.266530
#> Iteration: 575 bestvalit: 26.384202 bestmemit: -4.970646 0.007407 0.007537 0.000473 -2.446702 0.244167 -0.076659 0.119135 0.050562 0.176853 0.988292 0.299904 0.767747 0.917309 0.000075 0.005972 0.999095 0.450333
#> Iteration: 600 bestvalit: 26.345032 bestmemit: -7.451955 0.007459 0.007595 0.000483 -2.445857 0.243546 -0.077375 0.116660 0.050026 0.178673 0.988267 0.296836 0.770517 0.972758 0.000044 0.005149 0.999920 0.262969
#> Iteration: 625 bestvalit: 26.325649 bestmemit: -8.379273 0.007487 0.007616 0.000600 -2.446874 0.243650 -0.076188 0.117664 0.050018 0.185577 0.987137 0.295534 0.774614 0.999577 0.000035 0.004481 0.998227 0.266101
#> Iteration: 650 bestvalit: 26.321070 bestmemit: -6.830909 0.007530 0.007654 0.000649 -2.446910 0.244072 -0.077634 0.118353 0.050010 0.180408 0.987069 0.296214 0.775801 0.999983 0.000004 0.004177 0.996432 0.124167
#> Iteration: 675 bestvalit: 26.315547 bestmemit: -8.720966 0.007455 0.007592 0.000585 -2.446445 0.245027 -0.078000 0.118500 0.050100 0.178091 0.986650 0.295089 0.774999 0.999617 0.000157 0.004678 0.999833 0.342928
#> Iteration: 700 bestvalit: 26.240751 bestmemit: -8.622725 0.007176 0.007417 0.000440 -2.447775 0.252836 -0.078342 0.112857 0.053686 0.179543 0.986302 0.265384 0.806757 0.981306 0.005670 0.001705 0.998976 0.468141
#> Iteration: 725 bestvalit: 26.228500 bestmemit: -6.863789 0.007251 0.007422 0.000492 -2.448211 0.251139 -0.077468 0.114486 0.053146 0.177775 0.986373 0.268896 0.805929 0.982663 0.005140 0.000024 0.999929 0.896783
#> Iteration: 750 bestvalit: 26.223718 bestmemit: -9.814761 0.007173 0.007377 0.000511 -2.448635 0.252306 -0.076461 0.114954 0.052747 0.183396 0.986874 0.266959 0.814197 0.993402 0.005772 0.000448 0.999991 0.413272
#> Iteration: 775 bestvalit: 26.213144 bestmemit: -9.010453 0.007201 0.007413 0.000531 -2.449348 0.254381 -0.077701 0.115972 0.050448 0.182623 0.985804 0.277979 0.812395 0.999630 0.005266 0.002375 0.999996 0.453817
#> Iteration: 800 bestvalit: 26.207213 bestmemit: -6.914747 0.007037 0.007278 0.000401 -2.448526 0.256144 -0.077596 0.115203 0.050044 0.179939 0.985779 0.276134 0.817821 0.999917 0.006150 0.003009 0.999997 0.557601
#> Iteration: 825 bestvalit: 26.201543 bestmemit: -6.652276 0.007167 0.007374 0.000453 -2.448618 0.254153 -0.078050 0.113674 0.050007 0.178554 0.986051 0.278540 0.817168 0.999962 0.006101 0.003054 1.000000 0.109260
#> Iteration: 850 bestvalit: 26.201282 bestmemit: -7.345217 0.007187 0.007393 0.000472 -2.448826 0.253897 -0.077917 0.113498 0.050000 0.179035 0.986063 0.279076 0.817186 0.999973 0.006135 0.003038 1.000000 0.538160
#> Iteration: 875 bestvalit: 26.195038 bestmemit: -8.285636 0.007207 0.007421 0.000523 -2.448854 0.252885 -0.077304 0.113766 0.050003 0.183037 0.986452 0.277349 0.824014 0.998023 0.005767 0.000113 0.999992 0.848025
#> Iteration: 900 bestvalit: 26.193836 bestmemit: -9.154408 0.007180 0.007376 0.000486 -2.448757 0.253974 -0.077974 0.113723 0.050003 0.180428 0.986120 0.278474 0.820472 0.997987 0.005648 0.000001 0.999991 0.476455
#> Iteration: 925 bestvalit: 26.192869 bestmemit: -9.805252 0.007158 0.007360 0.000447 -2.448583 0.253782 -0.077681 0.113942 0.050008 0.179043 0.986295 0.280788 0.818875 0.999952 0.005506 0.000027 0.999931 0.157699
#> Iteration: 950 bestvalit: 26.192719 bestmemit: -8.888553 0.007164 0.007370 0.000454 -2.448708 0.254129 -0.077940 0.113835 0.050008 0.178469 0.986267 0.281180 0.818182 0.999994 0.005533 0.000027 0.999932 0.395998
#> Iteration: 975 bestvalit: 26.192640 bestmemit: -7.469546 0.007169 0.007377 0.000462 -2.448738 0.254077 -0.077958 0.113839 0.050007 0.178316 0.986246 0.281563 0.818518 0.999996 0.005534 0.000003 0.999920 0.369640
#> Iteration: 1000 bestvalit: 26.192214 bestmemit: -8.315242 0.007156 0.007355 0.000451 -2.448593 0.254285 -0.078071 0.113756 0.050010 0.178703 0.986278 0.287363 0.819732 0.999822 0.005310 0.000002 0.999747 0.271931
#> Iteration: 1025 bestvalit: 26.191568 bestmemit: -8.003856 0.007155 0.007341 0.000428 -2.448659 0.254302 -0.077949 0.113813 0.050014 0.176778 0.986360 0.300868 0.817062 0.999936 0.004658 0.000001 0.999424 0.873452
#> Iteration: 1050 bestvalit: 26.191514 bestmemit: -8.012595 0.007150 0.007339 0.000421 -2.448619 0.254346 -0.077998 0.113968 0.050013 0.176798 0.986351 0.300336 0.816779 0.999996 0.004646 0.000002 0.999441 0.496582
#> Iteration: 1075 bestvalit: 26.191513 bestmemit: -8.062353 0.007150 0.007338 0.000421 -2.448628 0.254361 -0.078000 0.113984 0.050013 0.176731 0.986343 0.300346 0.816656 0.999999 0.004639 0.000001 0.999441 0.993616
#> Iteration: 1100 bestvalit: 26.191510 bestmemit: -8.210633 0.007149 0.007337 0.000420 -2.448611 0.254354 -0.077996 0.113981 0.050014 0.176739 0.986346 0.300576 0.816660 0.999999 0.004628 0.000000 0.999434 0.985939
#> Iteration: 1125 bestvalit: 26.191502 bestmemit: -8.807478 0.007152 0.007339 0.000422 -2.448618 0.254293 -0.077986 0.113987 0.050011 0.176848 0.986347 0.300798 0.816624 0.999963 0.004605 0.000000 0.999434 0.661408
#> Iteration: 1150 bestvalit: 26.191462 bestmemit: -9.056640 0.007151 0.007338 0.000424 -2.448593 0.254349 -0.078067 0.113974 0.050000 0.176997 0.986322 0.300986 0.817085 0.999804 0.004633 0.000001 0.999445 0.785499
#> Iteration: 1175 bestvalit: 26.191454 bestmemit: -8.066191 0.007151 0.007339 0.000423 -2.448606 0.254353 -0.078051 0.113980 0.050000 0.176995 0.986310 0.300414 0.816900 0.999827 0.004654 0.000000 0.999462 0.859165
#> Iteration: 1200 bestvalit: 26.191447 bestmemit: -8.243481 0.007149 0.007336 0.000421 -2.448584 0.254321 -0.077995 0.113953 0.050000 0.176929 0.986336 0.300637 0.816822 0.999845 0.004645 0.000000 0.999456 0.624044
#> Iteration: 1225 bestvalit: 26.191437 bestmemit: -8.000537 0.007148 0.007336 0.000418 -2.448614 0.254371 -0.077983 0.113982 0.050000 0.176661 0.986356 0.300820 0.816608 0.999909 0.004647 0.000000 0.999454 0.685123
#> Iteration: 1250 bestvalit: 26.191436 bestmemit: -8.073076 0.007147 0.007335 0.000417 -2.448601 0.254382 -0.077997 0.113989 0.050000 0.176657 0.986354 0.300890 0.816555 0.999913 0.004638 0.000000 0.999453 0.938555
#> ... Finished Calibration.
#> Best solution: 26.1914357170976
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 25.4442435151519
#> - total population size: 180
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 78.388427 bestmemit: -9.947354 0.049182 0.219798 -0.452391 -2.698412 -0.105152 -0.317606 0.709479 0.131364 0.655205 0.946689 0.782489 0.659236 0.263498 0.105310 0.532065 0.963867 0.609568
#> Iteration: 50 bestvalit: 74.033312 bestmemit: -9.029500 0.019727 0.252085 -0.124151 -2.701998 0.336821 -0.198058 0.360978 0.243260 0.617211 0.916983 0.822550 0.473346 0.433259 0.241786 0.512953 0.781457 0.414586
#> Iteration: 75 bestvalit: 48.571259 bestmemit: -9.420337 0.005108 -0.144554 -0.191420 -2.447114 0.367075 -0.161746 0.242367 0.419102 0.107246 0.999848 0.879427 0.846208 0.314580 0.405498 0.541051 0.356842 0.380968
#> Iteration: 100 bestvalit: 44.501599 bestmemit: -8.127636 0.006744 0.166751 -0.188147 -2.469506 0.295797 -0.106768 0.281144 0.479750 0.545723 0.996731 0.747803 0.684944 0.570459 0.615226 0.319131 0.563511 0.250321
#> Iteration: 125 bestvalit: 32.982788 bestmemit: -6.924288 0.012463 0.007365 0.065689 -2.452928 0.174329 -0.089063 0.119297 0.399157 0.503421 0.981036 0.888461 0.607892 0.859904 0.030479 0.747290 0.892535 0.782016
#> Iteration: 150 bestvalit: 30.773561 bestmemit: -6.728832 0.011234 0.007052 -0.144731 -2.454084 0.159087 -0.061554 0.111648 0.312693 0.527009 0.987002 0.966269 0.527941 0.828711 0.040104 0.704611 0.815558 0.801074
#> Iteration: 175 bestvalit: 29.493439 bestmemit: -7.692073 0.009487 0.004702 0.185204 -2.465412 0.211686 -0.061604 0.117708 0.273840 0.275028 0.975371 0.913303 0.469380 0.843635 0.011709 0.738532 0.889543 0.843885
#> Iteration: 200 bestvalit: 27.703046 bestmemit: -9.759591 0.009277 0.002396 0.007920 -2.456611 0.209956 -0.061618 0.087604 0.320038 0.154769 0.958326 0.917097 0.805670 0.783937 0.032739 0.687710 0.557850 0.171079
#> Iteration: 225 bestvalit: 27.090265 bestmemit: -3.331799 0.007560 0.001741 0.005641 -2.451801 0.217260 -0.040928 0.092517 0.374672 0.274649 0.958459 0.982173 0.795654 0.604739 0.040220 0.915795 0.764279 0.219298
#> Iteration: 250 bestvalit: 26.701495 bestmemit: -5.958269 0.007041 0.001657 0.005268 -2.443372 0.218433 -0.045811 0.096176 0.318237 0.388556 0.968092 0.962891 0.719812 0.572147 0.021212 0.872324 0.755683 0.144452
#> Iteration: 275 bestvalit: 26.205687 bestmemit: -4.421537 0.007209 0.001516 0.004403 -2.451030 0.233739 -0.052007 0.091655 0.302875 0.371801 0.960283 0.991388 0.802099 0.390491 0.008655 0.920232 0.745539 0.086005
#> Iteration: 300 bestvalit: 26.002420 bestmemit: -5.716887 0.007560 0.001904 0.004842 -2.453725 0.228552 -0.048676 0.089217 0.302520 0.381684 0.946153 0.993987 0.569182 0.201938 0.004061 0.881067 0.762242 0.021276
#> Iteration: 325 bestvalit: 25.905936 bestmemit: -5.243954 0.007489 0.001951 0.004606 -2.451429 0.228543 -0.050645 0.087489 0.306844 0.378129 0.933758 0.998900 0.743897 0.216059 0.004823 0.923261 0.753397 0.010566
#> Iteration: 350 bestvalit: 25.863172 bestmemit: -6.059635 0.007473 0.001953 0.004824 -2.450113 0.224672 -0.048590 0.086444 0.311602 0.366337 0.928978 0.999160 0.797153 0.174834 0.000214 0.913582 0.748966 0.034631
#> Iteration: 375 bestvalit: 25.845150 bestmemit: -5.613191 0.007507 0.001993 0.004863 -2.450566 0.222863 -0.046993 0.087988 0.311688 0.345578 0.929959 0.999723 0.936228 0.199371 0.000091 0.928423 0.733115 0.004537
#> Iteration: 400 bestvalit: 25.836351 bestmemit: -6.470141 0.007526 0.002012 0.005007 -2.450913 0.224403 -0.048521 0.086299 0.311301 0.342205 0.924165 0.999958 0.899738 0.177271 0.000008 0.922020 0.750471 0.003403
#> Iteration: 425 bestvalit: 25.833725 bestmemit: -6.420307 0.007525 0.001978 0.004906 -2.450497 0.223438 -0.048021 0.086362 0.310282 0.351996 0.926580 0.999908 0.945008 0.190033 0.000072 0.925849 0.745782 0.000197
#> Iteration: 450 bestvalit: 25.832387 bestmemit: -7.134951 0.007563 0.002005 0.004932 -2.450878 0.223414 -0.048308 0.086293 0.310557 0.349724 0.927602 0.999990 0.946652 0.189689 0.000021 0.927119 0.742903 0.001228
#> Iteration: 475 bestvalit: 25.831767 bestmemit: -8.250710 0.007555 0.001999 0.004939 -2.450701 0.222961 -0.048033 0.086316 0.309870 0.348447 0.927004 0.999985 0.990337 0.192089 0.000018 0.926945 0.742049 0.001125
#> Iteration: 500 bestvalit: 25.831406 bestmemit: -9.108392 0.007559 0.002003 0.004926 -2.450756 0.223442 -0.048490 0.086037 0.308910 0.349132 0.927223 0.999998 0.998291 0.193950 0.000004 0.927169 0.743275 0.000727
#> Iteration: 525 bestvalit: 25.831160 bestmemit: -8.302945 0.007558 0.002002 0.004952 -2.450768 0.223391 -0.048356 0.086148 0.309223 0.351208 0.927231 0.999998 0.999077 0.193534 0.000005 0.927205 0.746005 0.000154
#> Iteration: 550 bestvalit: 25.831065 bestmemit: -8.171557 0.007562 0.002007 0.004964 -2.450791 0.223166 -0.048203 0.086180 0.309410 0.349324 0.927000 0.999999 0.999730 0.192979 0.000000 0.926926 0.744851 0.000034
#> Iteration: 575 bestvalit: 25.831035 bestmemit: -8.195019 0.007560 0.002009 0.004956 -2.450814 0.223295 -0.048263 0.086193 0.309205 0.349707 0.927118 1.000000 0.999281 0.192968 0.000000 0.927097 0.745096 0.000004
#> Iteration: 600 bestvalit: 25.831017 bestmemit: -8.349670 0.007560 0.002008 0.004953 -2.450832 0.223373 -0.048311 0.086225 0.309167 0.349357 0.927113 1.000000 0.999995 0.193325 0.000000 0.927112 0.744610 0.000002
#> Iteration: 625 bestvalit: 25.831016 bestmemit: -8.207039 0.007562 0.002010 0.004952 -2.450828 0.223373 -0.048354 0.086198 0.308911 0.349290 0.927150 1.000000 0.999995 0.193446 0.000000 0.927149 0.744353 0.000001
#> Iteration: 650 bestvalit: 25.831013 bestmemit: -8.252751 0.007562 0.002009 0.004952 -2.450833 0.223338 -0.048308 0.086196 0.309129 0.349844 0.927251 1.000000 0.999980 0.193550 0.000000 0.927250 0.744765 0.000001
#> Iteration: 675 bestvalit: 25.831013 bestmemit: -8.306579 0.007562 0.002009 0.004952 -2.450825 0.223333 -0.048308 0.086197 0.309164 0.349675 0.927215 1.000000 0.999987 0.193595 0.000000 0.927215 0.744613 0.000001
#> Iteration: 700 bestvalit: 25.831012 bestmemit: -8.014737 0.007563 0.002011 0.004956 -2.450836 0.223347 -0.048338 0.086194 0.309125 0.349577 0.927146 1.000000 0.999992 0.193282 0.000000 0.927146 0.744637 0.000000
#> Iteration: 725 bestvalit: 25.831011 bestmemit: -8.061780 0.007563 0.002011 0.004956 -2.450833 0.223333 -0.048325 0.086197 0.309151 0.349474 0.927127 1.000000 0.999998 0.193298 0.000000 0.927127 0.744556 0.000000
#> ... Finished Calibration.
#> Best solution: 25.8310111916512
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.3State.gamma.boxcox.AR2.a0std
#> Reference model name for maximum acceptable calib. solution: model.3State.gamma.boxcox.AR1.a0std
#> Reference model maximum acceptable calib. solution: 26.3165725279271
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 180
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 85.357616 bestmemit: -5.902436 -0.011951 0.262215 0.179079 -2.279602 0.266150 -0.016852 0.744694 0.699831 0.480007 0.794258 0.822778 0.391436 0.673702 0.175822 0.250736 0.183399 0.809431
#> Iteration: 50 bestvalit: 85.357616 bestmemit: -5.902436 -0.011951 0.262215 0.179079 -2.279602 0.266150 -0.016852 0.744694 0.699831 0.480007 0.794258 0.822778 0.391436 0.673702 0.175822 0.250736 0.183399 0.809431
#> Iteration: 75 bestvalit: 60.195962 bestmemit: -4.375973 0.013251 0.211306 0.260090 -2.553358 0.207790 -0.083544 0.342236 0.528689 0.096625 0.990805 0.772670 0.445734 0.695403 0.086290 0.266529 0.177896 0.907013
#> Iteration: 100 bestvalit: 49.490823 bestmemit: -4.962498 0.009220 0.250542 0.000648 -2.462996 0.167134 -0.028705 0.241811 0.484659 0.594842 0.953429 0.946203 0.390322 0.887841 0.039293 0.481978 0.756864 0.294103
#> Iteration: 125 bestvalit: 38.324368 bestmemit: -6.041053 0.013059 0.008905 0.060737 -2.481920 0.251330 -0.146480 0.144767 0.573412 0.571280 0.997057 0.860881 0.526723 0.729739 0.010023 0.454935 0.215682 0.013108
#> Iteration: 150 bestvalit: 34.019702 bestmemit: -4.693219 0.009449 0.004607 -0.399523 -2.447219 0.235393 -0.118754 0.148927 0.506588 0.227299 0.973902 0.932492 0.399518 0.660834 0.155863 0.788307 0.903303 0.622497
#> Iteration: 175 bestvalit: 33.782503 bestmemit: -5.980402 0.010127 0.003629 0.151659 -2.458769 0.215129 -0.094773 0.155789 0.326680 0.356138 0.970675 0.863481 0.567663 0.907551 0.124559 0.722470 0.785503 0.125720
#> Iteration: 200 bestvalit: 29.340848 bestmemit: -6.384409 0.009887 0.004432 -0.423887 -2.459068 0.211628 -0.071775 0.095845 0.449956 0.349580 0.974101 0.972367 0.429080 0.649607 0.035410 0.777427 0.870667 0.674798
#> Iteration: 225 bestvalit: 27.606602 bestmemit: -5.805382 0.008225 0.001485 0.004140 -2.446196 0.184821 -0.028951 0.100745 0.387830 0.447804 0.967106 0.993697 0.400596 0.449553 0.065133 0.901192 0.894343 0.789528
#> Iteration: 250 bestvalit: 27.057421 bestmemit: -6.284179 0.007253 0.001680 0.003122 -2.446300 0.218170 -0.046586 0.092021 0.352460 0.353000 0.976324 0.981790 0.437269 0.701511 0.067362 0.882289 0.873469 0.226705
#> Iteration: 275 bestvalit: 26.226819 bestmemit: -3.916020 0.007575 0.002060 -0.000277 -2.443470 0.209004 -0.047707 0.092734 0.381548 0.050470 0.966210 0.991321 0.521221 0.397843 0.042099 0.861556 0.916084 0.317192
#> Iteration: 300 bestvalit: 25.601759 bestmemit: -6.360507 0.008411 0.002397 0.002109 -2.451850 0.210610 -0.048830 0.097054 0.343606 0.069363 0.967245 0.999029 0.305452 0.023806 0.004027 0.572499 0.999653 0.519639
#> Iteration: 325 bestvalit: 25.338909 bestmemit: -6.544446 0.007850 0.002192 0.001366 -2.449185 0.213779 -0.047527 0.089961 0.342261 0.054789 0.965526 0.999966 0.180522 0.001381 0.000736 0.582023 0.975381 0.924692
#> Iteration: 350 bestvalit: 25.263711 bestmemit: -6.490638 0.007363 0.001808 0.001029 -2.450383 0.228064 -0.049465 0.088046 0.340477 0.050450 0.967134 0.999581 0.512501 0.012689 0.001587 0.461166 0.987944 0.780063
#> Iteration: 375 bestvalit: 25.209727 bestmemit: -8.247759 0.007462 0.001732 0.001244 -2.450087 0.232533 -0.056937 0.089091 0.328023 0.050208 0.965308 0.999893 0.519252 0.000400 0.000596 0.438381 0.999274 0.175105
#> Iteration: 400 bestvalit: 25.186442 bestmemit: -9.001184 0.007573 0.001927 0.001212 -2.450084 0.226798 -0.053386 0.088501 0.328010 0.050485 0.962116 0.999872 0.483923 0.000269 0.000234 0.494475 0.998433 0.777250
#> Iteration: 425 bestvalit: 25.181335 bestmemit: -9.191334 0.007502 0.001824 0.001144 -2.449991 0.228592 -0.054012 0.088078 0.329498 0.050003 0.962343 0.999927 0.493118 0.000638 0.000002 0.475321 0.999910 0.746762
#> Iteration: 450 bestvalit: 25.179508 bestmemit: -6.952588 0.007558 0.001879 0.001171 -2.450383 0.228295 -0.054095 0.088596 0.330746 0.050078 0.962837 0.999959 0.490112 0.000268 0.000035 0.474043 0.999986 0.731170
#> Iteration: 475 bestvalit: 25.178293 bestmemit: -7.678611 0.007550 0.001867 0.001166 -2.450044 0.227856 -0.053957 0.088452 0.330576 0.050031 0.962299 1.000000 0.486578 0.000111 0.000004 0.480952 0.999981 0.499459
#> Iteration: 500 bestvalit: 25.177837 bestmemit: -7.718044 0.007577 0.001892 0.001188 -2.450308 0.227430 -0.053607 0.088690 0.330897 0.050010 0.962478 1.000000 0.482248 0.000006 0.000001 0.481900 0.999978 0.768307
#> Iteration: 525 bestvalit: 25.177778 bestmemit: -8.821892 0.007570 0.001881 0.001181 -2.450261 0.227434 -0.053550 0.088663 0.331192 0.050001 0.962412 0.999999 0.483465 0.000014 0.000001 0.480798 0.999984 0.827963
#> Iteration: 550 bestvalit: 25.177733 bestmemit: -9.620899 0.007571 0.001883 0.001183 -2.450311 0.227699 -0.053771 0.088693 0.331133 0.050000 0.962398 1.000000 0.481926 0.000003 0.000002 0.480714 0.999998 0.912778
#> Iteration: 575 bestvalit: 25.177708 bestmemit: -8.607360 0.007569 0.001880 0.001182 -2.450241 0.227562 -0.053701 0.088732 0.331021 0.050000 0.962345 1.000000 0.482134 0.000001 0.000000 0.481760 0.999997 0.293289
#> Iteration: 600 bestvalit: 25.177703 bestmemit: -8.947338 0.007566 0.001877 0.001179 -2.450231 0.227615 -0.053709 0.088719 0.330891 0.050000 0.962376 1.000000 0.482133 0.000001 0.000000 0.481560 1.000000 0.407608
#> Iteration: 625 bestvalit: 25.177700 bestmemit: -8.457287 0.007568 0.001878 0.001181 -2.450252 0.227653 -0.053755 0.088741 0.330900 0.050000 0.962373 1.000000 0.482414 0.000000 0.000000 0.481512 1.000000 0.264429
#> Iteration: 650 bestvalit: 25.177700 bestmemit: -8.644352 0.007567 0.001877 0.001180 -2.450246 0.227629 -0.053713 0.088736 0.330929 0.050000 0.962383 1.000000 0.482416 0.000000 0.000000 0.481394 1.000000 0.695116
#> Iteration: 675 bestvalit: 25.177699 bestmemit: -8.593299 0.007567 0.001877 0.001179 -2.450242 0.227640 -0.053730 0.088741 0.330922 0.050000 0.962379 1.000000 0.482548 0.000000 0.000000 0.481464 1.000000 0.406699
#> ... Finished Calibration.
#> Best solution: 25.1776991706448
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 25.1776991706448
#> - total population size: 180
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 94.579923 bestmemit: -4.747298 0.056238 0.040036 -0.188930 -2.838582 -0.250179 -0.259689 0.297918 0.280474 0.569909 0.912109 0.774937 0.661521 0.006608 0.206664 0.377539 0.353189 0.653345
#> Iteration: 50 bestvalit: 65.333015 bestmemit: -6.807293 0.018166 -0.124951 -0.211387 -2.472888 0.146695 -0.220221 0.460516 0.381474 0.597022 0.917229 0.858940 0.680501 0.014217 0.429498 0.364590 0.062166 0.162137
#> Iteration: 75 bestvalit: 57.049514 bestmemit: -3.006442 0.017167 -0.276169 -0.004905 -2.463539 0.040288 -0.055238 0.462235 0.313043 0.665468 0.986738 0.720655 0.769134 0.494049 0.485967 0.450223 0.157861 0.167718
#> Iteration: 100 bestvalit: 50.935163 bestmemit: -6.350500 0.007397 0.011356 0.211572 -2.487746 0.266714 -0.079272 0.395038 0.355056 0.595145 0.976629 0.466845 0.731075 0.434984 0.603477 0.368011 0.288923 0.054950
#> Iteration: 125 bestvalit: 42.048660 bestmemit: -8.415412 0.006097 -0.143197 0.002641 -2.437786 0.272226 -0.098471 0.235262 0.697106 0.365632 0.969035 0.846654 0.918045 0.987527 0.797159 0.151702 0.734216 0.034914
#> Iteration: 150 bestvalit: 35.202334 bestmemit: -5.596001 0.008000 -0.464153 0.003851 -2.465684 0.314614 -0.136031 0.223303 0.086325 0.338469 0.974002 0.685150 0.940072 0.047650 0.776282 0.068583 0.621603 0.347669
#> Iteration: 175 bestvalit: 30.254574 bestmemit: -6.591064 0.010153 -0.299672 0.003450 -2.452921 0.161427 -0.033212 0.099797 0.247038 0.325426 0.956815 0.892196 0.918672 0.167272 0.746602 0.038679 0.519028 0.283327
#> Iteration: 200 bestvalit: 28.011063 bestmemit: -6.495616 0.008616 -0.130619 0.003119 -2.454078 0.188847 -0.030049 0.078970 0.386367 0.326711 0.960370 0.761506 0.990804 0.105458 0.771069 0.158683 0.927922 0.273729
#> Iteration: 225 bestvalit: 27.112093 bestmemit: -6.599758 0.008004 0.003555 0.002463 -2.457669 0.207958 -0.033132 0.083392 0.445617 0.305556 0.966278 0.615686 0.988411 0.218047 0.729178 0.078842 0.975283 0.607128
#> Iteration: 250 bestvalit: 26.743818 bestmemit: -5.537392 0.007369 0.006144 0.001726 -2.444516 0.220216 -0.050278 0.087091 0.543949 0.331376 0.956906 0.812797 0.991797 0.278037 0.772620 0.108126 0.765575 0.863164
#> Iteration: 275 bestvalit: 25.760418 bestmemit: -7.348679 0.008524 0.002461 0.002667 -2.454927 0.220268 -0.056419 0.087053 0.144813 0.316188 0.952024 0.261946 0.987184 0.978813 0.624463 0.000928 0.920265 0.692618
#> Iteration: 300 bestvalit: 25.425554 bestmemit: -9.345875 0.007831 0.001278 0.002086 -2.452619 0.222347 -0.048533 0.090527 0.055003 0.310978 0.961480 0.147472 0.997639 0.939225 0.657291 0.000770 0.968444 0.769058
#> Iteration: 325 bestvalit: 25.326856 bestmemit: -7.256698 0.007613 0.001454 0.001846 -2.448812 0.221840 -0.050436 0.086901 0.065539 0.326273 0.959446 0.270337 0.996450 0.970310 0.633766 0.000383 0.997184 0.430114
#> Iteration: 350 bestvalit: 25.232470 bestmemit: -8.919198 0.007783 0.001492 0.001998 -2.450915 0.222603 -0.051552 0.088105 0.051143 0.338497 0.961871 0.372418 0.998839 0.997802 0.522280 0.001104 0.997498 0.449876
#> Iteration: 375 bestvalit: 25.200723 bestmemit: -8.554827 0.007477 0.001197 0.001720 -2.448814 0.227786 -0.054522 0.088694 0.050699 0.330127 0.962093 0.444461 0.999116 0.999714 0.480420 0.000234 0.998714 0.832457
#> Iteration: 400 bestvalit: 25.190684 bestmemit: -8.518409 0.007543 0.001165 0.001801 -2.449667 0.228704 -0.055299 0.089148 0.050126 0.323130 0.963398 0.455545 0.999888 0.998856 0.489679 0.000081 0.996126 0.828636
#> Iteration: 425 bestvalit: 25.180624 bestmemit: -8.151968 0.007635 0.001233 0.001930 -2.450715 0.227734 -0.054400 0.088604 0.050070 0.330667 0.962461 0.490408 0.999920 0.999939 0.474127 0.000169 0.999741 0.272073
#> Iteration: 450 bestvalit: 25.179459 bestmemit: -8.289013 0.007593 0.001212 0.001880 -2.450331 0.227057 -0.053558 0.088513 0.050072 0.331016 0.962861 0.477735 0.999996 0.999768 0.481503 0.000080 0.999878 0.361226
#> Iteration: 475 bestvalit: 25.178266 bestmemit: -7.922234 0.007558 0.001186 0.001859 -2.450257 0.227715 -0.053565 0.088730 0.050034 0.330760 0.962363 0.484998 0.999983 0.999949 0.480486 0.000006 0.999977 0.266759
#> Iteration: 500 bestvalit: 25.177992 bestmemit: -7.475176 0.007558 0.001178 0.001876 -2.450277 0.227740 -0.053614 0.088697 0.050007 0.330906 0.962435 0.483745 0.999996 0.999960 0.483768 0.000005 0.999947 0.433774
#> Iteration: 525 bestvalit: 25.177808 bestmemit: -9.455464 0.007556 0.001173 0.001871 -2.450183 0.227736 -0.053713 0.088698 0.050006 0.330924 0.962320 0.483608 0.999997 0.999996 0.482371 0.000004 0.999994 0.197652
#> Iteration: 550 bestvalit: 25.177744 bestmemit: -9.550149 0.007565 0.001180 0.001875 -2.450248 0.227695 -0.053770 0.088730 0.050001 0.331047 0.962415 0.484240 1.000000 0.999989 0.481247 0.000001 0.999999 0.036442
#> Iteration: 575 bestvalit: 25.177722 bestmemit: -9.437130 0.007559 0.001174 0.001870 -2.450184 0.227651 -0.053671 0.088747 0.050001 0.330954 0.962394 0.481066 1.000000 0.999999 0.481849 0.000000 0.999998 0.628708
#> Iteration: 600 bestvalit: 25.177706 bestmemit: -9.429848 0.007568 0.001180 0.001878 -2.450251 0.227587 -0.053677 0.088747 0.050000 0.330929 0.962381 0.482359 1.000000 1.000000 0.481391 0.000000 1.000000 0.635019
#> Iteration: 625 bestvalit: 25.177702 bestmemit: -9.485126 0.007566 0.001179 0.001877 -2.450238 0.227647 -0.053733 0.088741 0.050000 0.330899 0.962377 0.481738 1.000000 1.000000 0.481838 0.000000 0.999999 0.831921
#> Iteration: 650 bestvalit: 25.177701 bestmemit: -9.793731 0.007566 0.001178 0.001876 -2.450236 0.227644 -0.053734 0.088733 0.050000 0.330889 0.962367 0.482385 1.000000 1.000000 0.481456 0.000000 1.000000 0.693005
#> Iteration: 675 bestvalit: 25.177700 bestmemit: -9.228152 0.007566 0.001179 0.001877 -2.450243 0.227639 -0.053719 0.088737 0.050000 0.330984 0.962379 0.482510 1.000000 1.000000 0.481385 0.000000 1.000000 0.629497
#> Iteration: 700 bestvalit: 25.177699 bestmemit: -8.595029 0.007567 0.001180 0.001878 -2.450245 0.227628 -0.053722 0.088736 0.050000 0.330929 0.962378 0.482563 1.000000 1.000000 0.481451 0.000000 1.000000 0.310667
#> Iteration: 725 bestvalit: 25.177699 bestmemit: -8.649870 0.007567 0.001180 0.001877 -2.450243 0.227633 -0.053726 0.088737 0.050000 0.330912 0.962380 0.482465 1.000000 1.000000 0.481474 0.000000 1.000000 0.429639
#> ... Finished Calibration.
#> Best solution: 25.1776991507978
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 25.1776991507978
#> - total population size: 180
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 84.000628 bestmemit: -6.084178 0.017088 -0.035912 0.457515 -2.502000 0.377908 -0.298150 0.664310 0.297259 0.231089 0.773270 0.683912 0.953407 0.223271 0.111362 0.473273 0.440853 0.479077
#> Iteration: 50 bestvalit: 61.009395 bestmemit: -3.816591 0.002515 0.421043 0.465569 -2.386407 0.348056 -0.158719 0.602267 0.250879 0.348572 0.998582 0.682309 0.972111 0.584001 0.192507 0.507507 0.855301 0.070025
#> Iteration: 75 bestvalit: 55.104497 bestmemit: -8.517094 0.002293 0.116424 0.109235 -2.404673 0.164595 0.017359 0.533045 0.122445 0.533409 0.973642 0.527914 0.759813 0.336718 0.499869 0.096917 0.481201 0.014685
#> Iteration: 100 bestvalit: 49.979697 bestmemit: -3.707222 -0.001102 -0.328418 -0.050317 -2.418444 0.290960 -0.002266 0.349583 0.511311 0.690404 0.996340 0.406772 0.797647 0.206537 0.423493 0.216958 0.714473 0.910609
#> Iteration: 125 bestvalit: 38.150663 bestmemit: -7.136510 0.009469 0.006412 0.089323 -2.444392 0.147070 -0.035940 0.149896 0.422538 0.680777 0.916811 0.979308 0.610563 0.332064 0.184620 0.390974 0.325136 0.522512
#> Iteration: 150 bestvalit: 38.150663 bestmemit: -7.136510 0.009469 0.006412 0.089323 -2.444392 0.147070 -0.035940 0.149896 0.422538 0.680777 0.916811 0.979308 0.610563 0.332064 0.184620 0.390974 0.325136 0.522512
#> Iteration: 175 bestvalit: 32.025512 bestmemit: -7.677231 0.007791 0.002734 0.071461 -2.444604 0.169182 -0.010797 0.115181 0.651824 0.670626 0.918384 0.974005 0.498959 0.848534 0.102238 0.308804 0.614192 0.980599
#> Iteration: 200 bestvalit: 29.888505 bestmemit: -5.260915 0.007125 0.001522 -0.141416 -2.442457 0.184361 -0.020611 0.119532 0.403375 0.317443 0.971603 0.986373 0.288303 0.505258 0.054745 0.231542 0.853720 0.424092
#> Iteration: 225 bestvalit: 27.517611 bestmemit: -7.574366 0.007898 0.001743 0.008972 -2.445603 0.212132 -0.051615 0.081210 0.280037 0.160737 0.941560 0.884039 0.563902 0.773163 0.067203 0.431624 0.921126 0.390406
#> Iteration: 250 bestvalit: 27.183205 bestmemit: -8.452907 0.007996 0.001983 0.005913 -2.448355 0.216338 -0.052671 0.089168 0.259416 0.328691 0.947153 0.860385 0.268295 0.795449 0.035793 0.394934 0.912752 0.277479
#> Iteration: 275 bestvalit: 26.446616 bestmemit: -8.807501 0.007201 0.001614 0.000906 -2.446477 0.208805 -0.033116 0.087382 0.324069 0.205569 0.957438 0.876915 0.581681 0.097221 0.001132 0.362504 0.995553 0.355896
#> Iteration: 300 bestvalit: 25.725179 bestmemit: -9.362179 0.007651 0.001974 0.001771 -2.451469 0.218540 -0.045182 0.086912 0.333776 0.114925 0.953883 0.970473 0.330763 0.042539 0.006602 0.483357 0.965070 0.703278
#> Iteration: 325 bestvalit: 25.386148 bestmemit: -8.417848 0.007421 0.001838 0.001547 -2.449812 0.224281 -0.049365 0.090940 0.334063 0.069411 0.957861 0.996231 0.429224 0.008687 0.002691 0.550597 0.982492 0.207051
#> Iteration: 350 bestvalit: 25.263533 bestmemit: -6.572562 0.007695 0.002033 0.001291 -2.452132 0.223029 -0.048909 0.088367 0.356708 0.050739 0.962036 0.999495 0.504290 0.017804 0.002262 0.503570 0.995124 0.574104
#> Iteration: 375 bestvalit: 25.220993 bestmemit: -6.865167 0.007560 0.001871 0.001209 -2.448404 0.226473 -0.054699 0.087205 0.342627 0.050547 0.963837 0.999999 0.531510 0.001939 0.000721 0.470051 0.990677 0.685242
#> Iteration: 400 bestvalit: 25.198817 bestmemit: -6.723083 0.007582 0.001827 0.001087 -2.449165 0.224543 -0.052925 0.087766 0.328917 0.050034 0.962459 0.999221 0.466009 0.000259 0.000447 0.488322 0.998372 0.810870
#> Iteration: 425 bestvalit: 25.185616 bestmemit: -6.098415 0.007644 0.001963 0.001233 -2.451137 0.226928 -0.053188 0.088448 0.334146 0.050221 0.961690 0.999829 0.484953 0.000487 0.000298 0.477641 0.998730 0.331254
#> Iteration: 450 bestvalit: 25.181583 bestmemit: -7.684746 0.007508 0.001838 0.001102 -2.450388 0.228622 -0.053258 0.088921 0.331167 0.050144 0.961560 0.999978 0.461254 0.000020 0.000063 0.494516 0.999610 0.209209
#> Iteration: 475 bestvalit: 25.179204 bestmemit: -8.150618 0.007560 0.001859 0.001147 -2.450092 0.226854 -0.053035 0.088383 0.332574 0.050006 0.961975 0.999951 0.487807 0.000042 0.000024 0.480721 0.999871 0.191346
#> Iteration: 500 bestvalit: 25.178100 bestmemit: -8.098658 0.007574 0.001884 0.001190 -2.450375 0.227781 -0.053799 0.088840 0.331055 0.050000 0.962438 0.999994 0.478376 0.000108 0.000001 0.481843 0.999860 0.419340
#> Iteration: 525 bestvalit: 25.177968 bestmemit: -8.274801 0.007572 0.001882 0.001197 -2.450253 0.227444 -0.053601 0.088669 0.331387 0.050001 0.962351 0.999996 0.478812 0.000047 0.000004 0.482652 0.999973 0.511300
#> Iteration: 550 bestvalit: 25.177765 bestmemit: -7.764446 0.007566 0.001883 0.001179 -2.450260 0.227617 -0.053666 0.088757 0.331135 0.050000 0.962405 0.999998 0.484016 0.000003 0.000002 0.480904 0.999997 0.604114
#> Iteration: 575 bestvalit: 25.177749 bestmemit: -8.036753 0.007564 0.001874 0.001180 -2.450184 0.227601 -0.053724 0.088749 0.331085 0.050000 0.962310 1.000000 0.482187 0.000005 0.000003 0.482596 0.999991 0.386580
#> Iteration: 600 bestvalit: 25.177716 bestmemit: -8.377074 0.007571 0.001882 0.001186 -2.450278 0.227590 -0.053717 0.088749 0.330954 0.050001 0.962345 1.000000 0.483592 0.000001 0.000001 0.480901 0.999999 0.473974
#> Iteration: 625 bestvalit: 25.177705 bestmemit: -8.290921 0.007564 0.001874 0.001177 -2.450246 0.227696 -0.053728 0.088759 0.330845 0.050000 0.962379 1.000000 0.482637 0.000001 0.000000 0.481347 0.999999 0.286989
#> Iteration: 650 bestvalit: 25.177701 bestmemit: -8.068450 0.007566 0.001876 0.001179 -2.450243 0.227666 -0.053741 0.088740 0.330920 0.050000 0.962380 1.000000 0.482953 0.000000 0.000000 0.481352 1.000000 0.844940
#> Iteration: 675 bestvalit: 25.177700 bestmemit: -8.176397 0.007568 0.001879 0.001180 -2.450255 0.227638 -0.053730 0.088737 0.330945 0.050000 0.962366 1.000000 0.482760 0.000000 0.000000 0.481341 1.000000 0.541491
#> ... Finished Calibration.
#> Best solution: 25.1776994196443
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 25.1776991507978
#> - total population size: 180
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 104.981523 bestmemit: -5.075689 0.046642 -0.016260 -0.265180 -2.876984 -0.122395 -0.298073 0.581545 0.383666 0.431778 0.961518 0.622321 0.596803 0.741167 0.520390 0.362469 0.191771 0.333143
#> Iteration: 50 bestvalit: 54.212392 bestmemit: -6.680594 0.002403 0.003544 -0.237763 -2.505025 0.500849 -0.163262 0.587099 0.106217 0.347767 0.938856 0.608323 0.591000 0.776976 0.421329 0.426386 0.659221 0.364801
#> Iteration: 75 bestvalit: 43.105537 bestmemit: -6.011135 0.011615 0.005721 0.007624 -2.457141 0.262020 -0.161012 0.311866 0.300881 0.373690 0.893528 0.557422 0.612275 0.933852 0.287208 0.451417 0.974299 0.842169
#> Iteration: 100 bestvalit: 36.611131 bestmemit: -4.278613 0.012163 0.005706 0.004680 -2.451912 0.164315 -0.068632 0.165477 0.476956 0.394481 0.843408 0.614985 0.676019 0.994966 0.141526 0.507543 0.822398 0.345841
#> Iteration: 125 bestvalit: 32.268094 bestmemit: -6.399299 0.008007 0.003159 0.002271 -2.455196 0.211768 -0.036850 0.085872 0.414494 0.510131 0.791250 0.557250 0.673190 0.997251 0.236881 0.418474 0.731672 0.374326
#> Iteration: 150 bestvalit: 31.864898 bestmemit: -6.662334 0.007880 0.002747 0.002481 -2.450841 0.216207 -0.046171 0.083515 0.411514 0.545209 0.807044 0.497889 0.661217 0.857313 0.250478 0.387427 0.615992 0.021364
#> Iteration: 175 bestvalit: 31.734113 bestmemit: -5.675484 0.008304 0.003466 0.002730 -2.452074 0.206675 -0.043407 0.086709 0.450625 0.520434 0.820421 0.495954 0.657978 0.992313 0.231870 0.408827 0.568816 0.035641
#> Iteration: 200 bestvalit: 31.579013 bestmemit: -4.503118 0.008580 0.004204 0.001935 -2.455017 0.200394 -0.039255 0.084689 0.479861 0.493488 0.830953 0.490591 0.661183 0.995500 0.261191 0.429534 0.854561 0.989342
#> Iteration: 225 bestvalit: 30.643778 bestmemit: -5.602688 0.010083 0.005327 0.003423 -2.451422 0.188151 -0.061893 0.096245 0.376359 0.640028 0.908246 0.350241 0.748289 0.941562 0.270861 0.339853 0.970683 0.648341
#> Iteration: 250 bestvalit: 26.807801 bestmemit: -6.408773 0.007907 0.008291 0.001371 -2.449107 0.225221 -0.060021 0.085958 0.053825 0.212687 0.960062 0.146194 0.897517 0.559294 0.162551 0.117409 0.973506 0.693821
#> Iteration: 275 bestvalit: 26.541295 bestmemit: -7.835444 0.007600 0.007902 0.001430 -2.449749 0.228258 -0.056204 0.091010 0.050143 0.231765 0.962173 0.135080 0.901799 0.706197 0.140430 0.089699 0.993740 0.944338
#> Iteration: 300 bestvalit: 26.511866 bestmemit: -7.519229 0.007570 0.007855 0.001364 -2.449767 0.226194 -0.053553 0.092139 0.050156 0.238960 0.959263 0.139525 0.898620 0.687239 0.136669 0.088712 0.999329 0.706337
#> Iteration: 325 bestvalit: 26.498659 bestmemit: -5.742298 0.007684 0.007953 0.001457 -2.448804 0.221540 -0.052395 0.091257 0.050066 0.247788 0.958078 0.137251 0.903243 0.724183 0.133880 0.085199 0.999929 0.888303
#> Iteration: 350 bestvalit: 26.497652 bestmemit: -5.682570 0.007718 0.007969 0.001481 -2.449302 0.222652 -0.053304 0.091400 0.050001 0.248224 0.958341 0.137237 0.902684 0.717670 0.133270 0.084953 0.999995 0.061839
#> Iteration: 375 bestvalit: 26.497305 bestmemit: -5.709395 0.007698 0.007971 0.001461 -2.449218 0.222723 -0.053123 0.091266 0.050001 0.248046 0.958470 0.136949 0.903013 0.719768 0.133734 0.085142 0.999994 0.465106
#> Iteration: 400 bestvalit: 26.491987 bestmemit: -5.684586 0.007712 0.007964 0.001440 -2.449663 0.223100 -0.052813 0.091489 0.050061 0.247919 0.957063 0.141771 0.900914 0.747335 0.138301 0.091028 0.999608 0.983222
#> Iteration: 425 bestvalit: 26.459276 bestmemit: -5.598748 0.007689 0.007820 0.001580 -2.450201 0.224523 -0.053435 0.089725 0.050400 0.252439 0.955986 0.138474 0.913331 0.905075 0.143574 0.091356 0.997269 0.678297
#> Iteration: 450 bestvalit: 26.406580 bestmemit: -5.821504 0.007659 0.007799 0.001556 -2.450436 0.225657 -0.052974 0.093509 0.050505 0.258054 0.955016 0.136630 0.921092 0.999384 0.142579 0.085253 0.995638 0.705464
#> Iteration: 475 bestvalit: 26.404970 bestmemit: -6.498652 0.007678 0.007840 0.001560 -2.450852 0.225878 -0.053118 0.093531 0.050493 0.259026 0.954802 0.136189 0.921760 0.999991 0.141699 0.083962 0.995691 0.277539
#> Iteration: 500 bestvalit: 26.404280 bestmemit: -7.421073 0.007673 0.007832 0.001550 -2.450913 0.226603 -0.053640 0.093726 0.050461 0.257685 0.955055 0.136107 0.921596 0.999989 0.142124 0.084010 0.995800 0.344466
#> Iteration: 525 bestvalit: 26.401146 bestmemit: -8.042526 0.007672 0.007825 0.001578 -2.450808 0.226438 -0.053695 0.093829 0.050080 0.260417 0.957400 0.131112 0.924343 0.999824 0.143944 0.079661 0.997204 0.284230
#> Iteration: 550 bestvalit: 26.397831 bestmemit: -7.712891 0.007704 0.007858 0.001605 -2.451242 0.226262 -0.053482 0.093900 0.050005 0.258792 0.955869 0.134330 0.922266 0.999975 0.139247 0.082361 0.995698 0.101704
#> Iteration: 575 bestvalit: 26.385639 bestmemit: -7.655318 0.007622 0.007805 0.001357 -2.451155 0.229777 -0.055380 0.093802 0.050048 0.245675 0.960293 0.133529 0.910437 0.999899 0.079505 0.088794 0.975782 0.313312
#> Iteration: 600 bestvalit: 26.376317 bestmemit: -6.911603 0.007575 0.007826 0.001303 -2.450876 0.229900 -0.055185 0.094103 0.050048 0.239494 0.961098 0.134074 0.905250 0.999712 0.049770 0.091034 0.966118 0.056038
#> Iteration: 625 bestvalit: 26.375387 bestmemit: -6.946222 0.007652 0.007904 0.001374 -2.451111 0.228750 -0.055223 0.093810 0.050003 0.240532 0.961480 0.132906 0.905886 0.999869 0.049283 0.089950 0.966249 0.014179
#> Iteration: 650 bestvalit: 26.375029 bestmemit: -7.299358 0.007618 0.007870 0.001347 -2.450780 0.228915 -0.055259 0.094036 0.050000 0.240242 0.961658 0.132816 0.905710 0.999986 0.049534 0.089963 0.966309 0.000116
#> Iteration: 675 bestvalit: 26.374958 bestmemit: -7.523659 0.007615 0.007863 0.001341 -2.450826 0.228970 -0.055200 0.094064 0.050001 0.240567 0.961569 0.133083 0.905556 0.999999 0.049650 0.090197 0.966318 0.000157
#> Iteration: 700 bestvalit: 26.374935 bestmemit: -7.746437 0.007621 0.007870 0.001346 -2.450858 0.228850 -0.055159 0.094039 0.050000 0.240692 0.961552 0.133161 0.905502 1.000000 0.049752 0.090326 0.966329 0.000055
#> Iteration: 725 bestvalit: 26.374926 bestmemit: -8.028086 0.007622 0.007870 0.001346 -2.450822 0.228746 -0.055119 0.094044 0.050000 0.240716 0.961523 0.133197 0.905487 1.000000 0.049741 0.090338 0.966340 0.000162
#> Iteration: 750 bestvalit: 26.374923 bestmemit: -8.314907 0.007623 0.007871 0.001347 -2.450829 0.228732 -0.055127 0.094063 0.050000 0.240691 0.961514 0.133269 0.905423 1.000000 0.049811 0.090416 0.966347 0.000197
#> Iteration: 775 bestvalit: 26.374915 bestmemit: -8.943139 0.007625 0.007875 0.001349 -2.450817 0.228722 -0.055176 0.094064 0.050000 0.240697 0.961512 0.133345 0.905349 0.999999 0.049963 0.090560 0.966369 0.000028
#> Iteration: 800 bestvalit: 26.374855 bestmemit: -9.014281 0.007614 0.007863 0.001333 -2.450764 0.228878 -0.055193 0.093979 0.050000 0.239979 0.961304 0.133722 0.905179 0.999997 0.050206 0.090980 0.966436 0.000015
#> Iteration: 825 bestvalit: 26.374442 bestmemit: -8.008541 0.007627 0.007875 0.001329 -2.450732 0.228698 -0.055280 0.094123 0.050000 0.238960 0.961280 0.133825 0.904701 1.000000 0.050314 0.090578 0.966689 0.000212
#> Iteration: 850 bestvalit: 26.371744 bestmemit: -8.666895 0.007659 0.007902 0.001351 -2.451165 0.229055 -0.055654 0.094103 0.050002 0.237742 0.961063 0.135476 0.901714 1.000000 0.053332 0.091388 0.967908 0.000069
#> Iteration: 875 bestvalit: 26.371436 bestmemit: -9.067368 0.007626 0.007869 0.001331 -2.450963 0.229059 -0.055294 0.093952 0.050003 0.239281 0.961179 0.134596 0.902468 0.999999 0.052433 0.090379 0.967805 0.000054
#> Iteration: 900 bestvalit: 26.371382 bestmemit: -9.735729 0.007615 0.007864 0.001323 -2.450898 0.229123 -0.055239 0.093911 0.050003 0.238970 0.961134 0.134800 0.902317 0.999999 0.052800 0.090767 0.967839 0.000881
#> Iteration: 925 bestvalit: 26.371380 bestmemit: -9.965104 0.007613 0.007864 0.001322 -2.450898 0.229150 -0.055226 0.093914 0.050003 0.238912 0.961116 0.134860 0.902276 0.999999 0.052858 0.090838 0.967841 0.001040
#> Iteration: 950 bestvalit: 26.371364 bestmemit: -8.649422 0.007606 0.007856 0.001317 -2.450863 0.229243 -0.055228 0.093936 0.050002 0.238729 0.961078 0.134931 0.902242 0.999998 0.052877 0.090877 0.967868 0.000119
#> Iteration: 975 bestvalit: 26.371172 bestmemit: -9.643227 0.007613 0.007863 0.001328 -2.450869 0.229200 -0.055324 0.093984 0.050000 0.239013 0.961139 0.134733 0.902389 0.999995 0.052704 0.090562 0.968047 0.000522
#> Iteration: 1000 bestvalit: 26.371144 bestmemit: -8.693048 0.007613 0.007862 0.001323 -2.450886 0.229127 -0.055205 0.093924 0.050000 0.239142 0.961063 0.134855 0.902341 0.999995 0.052772 0.090691 0.968074 0.001365
#> Iteration: 1025 bestvalit: 26.371138 bestmemit: -9.057122 0.007613 0.007863 0.001322 -2.450893 0.229121 -0.055200 0.093911 0.050000 0.238978 0.961097 0.134842 0.902325 0.999995 0.052855 0.090741 0.968078 0.000017
#> Iteration: 1050 bestvalit: 26.371083 bestmemit: -8.271677 0.007609 0.007861 0.001318 -2.450887 0.229186 -0.055169 0.093885 0.050000 0.238835 0.961063 0.134841 0.902357 1.000000 0.052707 0.090631 0.968063 0.001432
#> Iteration: 1075 bestvalit: 26.371077 bestmemit: -9.024444 0.007610 0.007861 0.001319 -2.450881 0.229152 -0.055172 0.093903 0.050000 0.238928 0.961091 0.134879 0.902294 1.000000 0.052832 0.090731 0.968075 0.000471
#> Iteration: 1100 bestvalit: 26.371075 bestmemit: -8.034774 0.007611 0.007862 0.001320 -2.450898 0.229166 -0.055188 0.093911 0.050000 0.238985 0.961096 0.134884 0.902284 1.000000 0.052834 0.090729 0.968074 0.000009
#> ... Finished Calibration.
#> Best solution: 26.3710742944147
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.3State.truc.normal.boxcox.AR3.a0std
#> Reference model name for maximum acceptable calib. solution: model.3State.truc.normal.boxcox.AR2.a0std
#> Reference model maximum acceptable calib. solution: 25.4369992788274
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 190
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 115.549721 bestmemit: -7.975502 0.026470 0.166241 0.051760 -3.782664 -0.158925 -0.070021 0.161775 0.087968 0.560887 0.658108 0.944666 0.883912 0.861496 0.238416 0.409291 0.160774 0.978064 0.659061
#> Iteration: 50 bestvalit: 101.713649 bestmemit: -6.716597 0.032918 0.395893 0.053195 -4.317128 -0.179912 -0.134173 0.207907 0.250072 0.485978 0.585460 0.825108 0.759313 0.840810 0.230703 0.456345 0.107127 0.507351 0.845705
#> Iteration: 75 bestvalit: 70.110499 bestmemit: -7.021024 0.118755 0.131642 0.003765 -2.568923 0.312143 -0.034392 0.077340 0.626110 0.358652 0.746343 0.715499 0.706734 0.965616 0.568781 0.429887 0.006053 0.582334 0.546390
#> Iteration: 100 bestvalit: 53.737391 bestmemit: -5.571163 -0.450658 -0.474864 0.008858 -2.442003 0.203883 -0.039129 -0.060685 0.471161 0.555193 0.481008 0.788035 0.951502 0.978446 0.474458 0.516412 0.001434 0.808821 0.731475
#> Iteration: 125 bestvalit: 50.377688 bestmemit: -4.252603 -0.364563 0.058586 0.007730 -2.413479 0.194214 0.001236 -0.121241 0.490870 0.484808 0.312500 0.793353 0.739545 0.989875 0.534799 0.447955 0.024783 0.269480 0.595758
#> Iteration: 150 bestvalit: 36.189707 bestmemit: -4.779307 0.005500 0.143241 0.009292 -2.453017 0.195576 -0.031546 -0.021959 0.421146 0.535896 0.185119 0.812626 0.537630 0.970838 0.061385 0.565744 0.039821 0.268127 0.610726
#> Iteration: 175 bestvalit: 33.282230 bestmemit: -4.326198 0.002215 -0.178151 0.007431 -2.408674 0.131964 0.020363 -0.051487 0.366935 0.553656 0.137290 0.852742 0.518091 0.990347 0.444811 0.530185 0.020564 0.219826 0.214835
#> Iteration: 200 bestvalit: 30.459939 bestmemit: -3.436868 0.002824 0.192097 0.008256 -2.438080 0.186035 -0.027740 -0.026461 0.345358 0.373444 0.128423 0.891350 0.415983 0.990000 0.399578 0.520713 0.037182 0.310606 0.299167
#> Iteration: 225 bestvalit: 28.011089 bestmemit: -5.253844 0.002608 -0.168951 0.008321 -2.449078 0.210240 -0.041302 -0.012471 0.331981 0.526441 0.087121 0.816612 0.512764 0.998149 0.102075 0.407336 0.039372 0.112352 0.099786
#> Iteration: 250 bestvalit: 27.228624 bestmemit: -6.104479 0.002945 0.004855 0.008926 -2.450390 0.189126 -0.026110 -0.016329 0.334689 0.404929 0.097509 0.872224 0.287539 0.996886 0.409271 0.573040 0.030839 0.116072 0.012163
#> Iteration: 275 bestvalit: 26.658832 bestmemit: -4.113811 0.001938 0.000543 0.008144 -2.450400 0.221449 -0.035754 -0.021967 0.282374 0.085298 0.102140 0.996164 0.182060 0.985402 0.401970 0.500176 0.011022 0.141153 0.071202
#> Iteration: 300 bestvalit: 25.975366 bestmemit: -6.308535 0.002174 0.000847 0.008212 -2.444695 0.215279 -0.032500 -0.029166 0.290207 0.050397 0.095772 0.988626 0.242385 0.980684 0.666175 0.264557 0.008974 0.094182 0.004568
#> Iteration: 325 bestvalit: 25.617472 bestmemit: -7.610292 0.002808 0.000295 0.008670 -2.450133 0.211454 -0.015817 -0.045184 0.302296 0.055068 0.094000 0.995413 0.089428 0.978504 0.620079 0.036920 0.016338 0.007014 0.035383
#> Iteration: 350 bestvalit: 25.394668 bestmemit: -8.336976 0.002952 0.000255 0.008689 -2.453051 0.210061 -0.019436 -0.036013 0.290324 0.051645 0.090528 0.995763 0.028420 0.980677 0.722318 0.013134 0.017754 0.012956 0.025237
#> Iteration: 375 bestvalit: 25.242764 bestmemit: -6.712332 0.002690 0.000321 0.008318 -2.450780 0.210083 -0.020284 -0.031359 0.301824 0.050745 0.089009 0.999266 0.032938 0.977751 0.820396 0.012447 0.013198 0.012483 0.007233
#> Iteration: 400 bestvalit: 25.211859 bestmemit: -6.626303 0.002809 0.000234 0.008472 -2.451061 0.206066 -0.020032 -0.029942 0.308005 0.050160 0.088187 0.999989 0.024755 0.978541 0.319471 0.018906 0.013121 0.012463 0.000315
#> Iteration: 425 bestvalit: 25.193672 bestmemit: -6.237121 0.002544 0.000016 0.008204 -2.448793 0.206530 -0.017439 -0.031170 0.307681 0.050058 0.086820 0.999950 0.022554 0.979636 0.987157 0.012257 0.013275 0.001700 0.000521
#> Iteration: 450 bestvalit: 25.188753 bestmemit: -6.541795 0.002631 0.000125 0.008288 -2.449568 0.206273 -0.019029 -0.029889 0.312162 0.050109 0.086916 0.999943 0.021425 0.979095 0.427821 0.013262 0.013298 0.000335 0.000449
#> Iteration: 475 bestvalit: 25.186290 bestmemit: -6.789092 0.002607 0.000063 0.008280 -2.449788 0.206336 -0.018087 -0.030206 0.311793 0.050010 0.087658 0.999988 0.022042 0.978757 0.372840 0.012952 0.013385 0.000179 0.000301
#> Iteration: 500 bestvalit: 25.185320 bestmemit: -7.044107 0.002602 0.000064 0.008257 -2.449524 0.206488 -0.018359 -0.030168 0.312319 0.050012 0.087465 0.999988 0.021643 0.978422 0.209834 0.013222 0.013149 0.000101 0.000086
#> Iteration: 525 bestvalit: 25.184906 bestmemit: -7.219407 0.002637 0.000079 0.008295 -2.449885 0.206623 -0.018589 -0.030245 0.311377 0.050001 0.087615 0.999996 0.021331 0.978717 0.518411 0.013207 0.013217 0.000057 0.000042
#> Iteration: 550 bestvalit: 25.184760 bestmemit: -7.167061 0.002618 0.000068 0.008278 -2.449655 0.206757 -0.018720 -0.030286 0.311828 0.050004 0.087588 0.999998 0.021360 0.978655 0.464226 0.013231 0.013236 0.000011 0.000026
#> Iteration: 575 bestvalit: 25.184665 bestmemit: -7.530451 0.002617 0.000071 0.008276 -2.449760 0.206930 -0.018833 -0.030150 0.311867 0.050001 0.087656 0.999998 0.021329 0.978679 0.931605 0.013156 0.013159 0.000005 0.000005
#> Iteration: 600 bestvalit: 25.184623 bestmemit: -7.968993 0.002606 0.000068 0.008268 -2.449688 0.206857 -0.018658 -0.030209 0.311687 0.050000 0.087607 1.000000 0.021358 0.978661 0.651201 0.013171 0.013185 0.000002 0.000002
#> Iteration: 625 bestvalit: 25.184607 bestmemit: -8.464865 0.002607 0.000065 0.008267 -2.449678 0.206959 -0.018721 -0.030227 0.311646 0.050000 0.087629 1.000000 0.021326 0.978676 0.034333 0.013203 0.013204 0.000002 0.000001
#> Iteration: 650 bestvalit: 25.184599 bestmemit: -8.005967 0.002606 0.000067 0.008266 -2.449669 0.206932 -0.018677 -0.030248 0.311653 0.050000 0.087617 1.000000 0.021319 0.978682 0.228266 0.013166 0.013166 0.000000 0.000000
#> Iteration: 675 bestvalit: 25.184597 bestmemit: -8.347893 0.002610 0.000069 0.008269 -2.449701 0.206901 -0.018685 -0.030226 0.311658 0.050000 0.087612 1.000000 0.021309 0.978692 0.770561 0.013177 0.013177 0.000001 0.000000
#> Iteration: 700 bestvalit: 25.184596 bestmemit: -8.294835 0.002608 0.000069 0.008268 -2.449695 0.206911 -0.018693 -0.030215 0.311660 0.050000 0.087618 1.000000 0.021314 0.978686 0.490604 0.013181 0.013181 0.000000 0.000000
#> Iteration: 725 bestvalit: 25.184596 bestmemit: -8.610317 0.002609 0.000068 0.008269 -2.449702 0.206922 -0.018693 -0.030223 0.311704 0.050000 0.087624 1.000000 0.021311 0.978689 0.445629 0.013186 0.013186 0.000000 0.000000
#> ... Finished Calibration.
#> Best solution: 25.1845956635946
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 25.1845956635946
#> - total population size: 190
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 129.822593 bestmemit: -4.940803 -0.025896 -0.142583 0.030454 -3.566581 0.588488 -0.028595 -0.290991 0.167981 0.331760 0.360459 0.794834 0.620747 0.987414 0.235040 0.449026 0.081936 0.942911 0.213062
#> Iteration: 50 bestvalit: 76.185367 bestmemit: -4.053335 0.297581 -0.234883 0.027440 -2.621403 0.017237 0.079661 -0.180199 0.194079 0.368204 0.441190 0.774414 0.753979 0.911911 0.518461 0.607949 0.095135 0.429456 0.543106
#> Iteration: 75 bestvalit: 64.333213 bestmemit: -5.513367 0.018793 -0.044545 0.013745 -2.563790 -0.092483 0.078479 0.150909 0.298294 0.222178 0.412683 0.995543 0.693676 0.896141 0.356766 0.415217 0.136862 0.228360 0.638489
#> Iteration: 100 bestvalit: 52.748121 bestmemit: -5.390273 0.005762 -0.326896 0.013373 -2.466736 0.181198 -0.097253 -0.044039 0.355374 0.377938 0.275078 0.908373 0.776162 0.921476 0.360880 0.284502 0.132285 0.235204 0.046653
#> Iteration: 125 bestvalit: 40.779474 bestmemit: -6.486945 0.015611 -0.001668 0.013037 -2.509263 0.086654 -0.011822 0.013456 0.141920 0.316201 0.424165 0.894894 0.577604 0.928062 0.251019 0.388802 0.044179 0.436760 0.176871
#> Iteration: 150 bestvalit: 40.377998 bestmemit: -7.382161 0.013933 -0.082431 0.010926 -2.450988 0.172236 0.006746 -0.135801 0.091477 0.092602 0.304644 0.994565 0.578002 0.932795 0.485601 0.219684 0.066358 0.117797 0.042692
#> Iteration: 175 bestvalit: 33.381888 bestmemit: -5.906133 0.008772 0.051985 0.004675 -2.443561 0.178224 -0.070544 0.031712 0.075839 0.594959 0.468182 0.977075 0.291741 0.934550 0.386667 0.218393 0.016441 0.699645 0.092073
#> Iteration: 200 bestvalit: 29.074619 bestmemit: -3.859293 0.007469 -0.047446 0.001494 -2.440232 0.192423 -0.016456 -0.017956 0.114813 0.087780 0.274321 0.972585 0.690548 0.958913 0.448698 0.315935 0.037057 0.880753 0.056333
#> Iteration: 225 bestvalit: 28.000686 bestmemit: -7.447892 0.007949 0.127864 0.002433 -2.441594 0.230247 -0.047794 -0.031126 0.111923 0.303602 0.324280 0.986667 0.484729 0.992053 0.392330 0.647747 0.019271 0.799069 0.488241
#> Iteration: 250 bestvalit: 26.740947 bestmemit: -7.032992 0.008106 0.002095 0.002455 -2.443820 0.209127 -0.018849 -0.037828 0.101644 0.163760 0.295731 0.976771 0.451067 0.997737 0.290197 0.808368 0.048446 0.959057 0.405744
#> Iteration: 275 bestvalit: 26.253673 bestmemit: -8.279985 0.008048 0.002155 0.002082 -2.445754 0.195066 -0.007263 -0.030970 0.089962 0.095259 0.302161 0.974124 0.174068 0.988434 0.634533 0.828260 0.027817 0.966433 0.770033
#> Iteration: 300 bestvalit: 25.953315 bestmemit: -7.937585 0.008445 0.000569 0.002680 -2.450667 0.200632 -0.009547 -0.034367 0.093471 0.078252 0.325242 0.978422 0.661733 0.994228 0.584701 0.720851 0.002673 0.959100 0.893276
#> Iteration: 325 bestvalit: 25.433659 bestmemit: -6.716013 0.008889 0.002503 0.003075 -2.454144 0.205084 -0.028830 -0.023528 0.087832 0.078129 0.321825 0.957754 0.263549 0.999203 0.966623 0.604648 0.005755 0.952259 0.075222
#> Iteration: 350 bestvalit: 25.319113 bestmemit: -5.759944 0.008922 0.002339 0.003176 -2.455723 0.213485 -0.030165 -0.029080 0.088951 0.050599 0.333415 0.961942 0.425056 0.999784 0.996719 0.571892 0.002307 0.993856 0.313416
#> Iteration: 375 bestvalit: 25.250467 bestmemit: -7.618939 0.008303 0.001664 0.002560 -2.450565 0.217238 -0.032413 -0.026106 0.089225 0.056534 0.321125 0.960122 0.440422 0.999758 0.993203 0.545208 0.001131 0.998193 0.384234
#> Iteration: 400 bestvalit: 25.226764 bestmemit: -7.309000 0.008253 0.001583 0.002528 -2.451676 0.216819 -0.030271 -0.025029 0.089000 0.051287 0.330683 0.961859 0.421571 0.999912 0.993783 0.512180 0.000303 0.998253 0.597305
#> Iteration: 425 bestvalit: 25.212592 bestmemit: -5.970279 0.008144 0.001529 0.002398 -2.450127 0.218212 -0.034081 -0.022989 0.087982 0.050235 0.331030 0.962224 0.449279 0.999710 0.999707 0.490783 0.000014 0.999387 0.130730
#> Iteration: 450 bestvalit: 25.209434 bestmemit: -5.999552 0.008155 0.001487 0.002420 -2.450143 0.218121 -0.033360 -0.023891 0.088211 0.050024 0.329152 0.961563 0.444447 0.999926 0.999685 0.505659 0.000029 0.999572 0.484559
#> Iteration: 475 bestvalit: 25.208336 bestmemit: -5.945787 0.008185 0.001515 0.002450 -2.450305 0.218073 -0.033954 -0.023506 0.088332 0.050018 0.330875 0.962089 0.455048 0.999963 0.999777 0.501488 0.000023 0.999809 0.397921
#> Iteration: 500 bestvalit: 25.207429 bestmemit: -6.623274 0.008191 0.001518 0.002442 -2.450250 0.217604 -0.033326 -0.023808 0.088382 0.050021 0.331588 0.962271 0.447240 0.999990 0.999873 0.501867 0.000003 0.999989 0.254385
#> Iteration: 525 bestvalit: 25.207027 bestmemit: -6.979036 0.008174 0.001504 0.002438 -2.450154 0.217371 -0.033451 -0.023340 0.088473 0.050004 0.330944 0.962241 0.449208 0.999989 0.999983 0.496915 0.000000 0.999994 0.609107
#> Iteration: 550 bestvalit: 25.206931 bestmemit: -7.351567 0.008180 0.001511 0.002444 -2.450119 0.217268 -0.033403 -0.023495 0.088516 0.050006 0.330894 0.962306 0.445973 0.999997 0.999983 0.498107 0.000003 0.999998 0.615184
#> Iteration: 575 bestvalit: 25.206865 bestmemit: -7.572498 0.008181 0.001506 0.002450 -2.450144 0.217347 -0.033260 -0.023686 0.088515 0.050003 0.330971 0.962358 0.447374 0.999999 0.999998 0.498393 0.000003 0.999994 0.757958
#> Iteration: 600 bestvalit: 25.206833 bestmemit: -7.426937 0.008181 0.001510 0.002446 -2.450158 0.217476 -0.033422 -0.023609 0.088520 0.050003 0.330969 0.962334 0.446708 0.999999 0.999998 0.498873 0.000000 0.999999 0.543430
#> Iteration: 625 bestvalit: 25.206813 bestmemit: -8.036670 0.008177 0.001505 0.002441 -2.450123 0.217484 -0.033397 -0.023606 0.088521 0.050000 0.331153 0.962307 0.447929 1.000000 0.999999 0.498658 0.000000 0.999999 0.027985
#> Iteration: 650 bestvalit: 25.206806 bestmemit: -8.956354 0.008178 0.001507 0.002444 -2.450138 0.217492 -0.033430 -0.023592 0.088537 0.050000 0.330959 0.962320 0.448140 1.000000 1.000000 0.498740 0.000000 0.999999 0.167118
#> Iteration: 675 bestvalit: 25.206804 bestmemit: -9.513998 0.008178 0.001507 0.002445 -2.450135 0.217490 -0.033449 -0.023575 0.088528 0.050000 0.330856 0.962317 0.447918 1.000000 1.000000 0.498839 0.000000 1.000000 0.540417
#> Iteration: 700 bestvalit: 25.206803 bestmemit: -9.140360 0.008178 0.001507 0.002444 -2.450138 0.217507 -0.033448 -0.023587 0.088525 0.050000 0.330897 0.962307 0.447835 1.000000 1.000000 0.499076 0.000000 1.000000 0.146093
#> ... Finished Calibration.
#> Best solution: 25.2068025776979
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 25.1845956635946
#> - total population size: 190
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 114.439484 bestmemit: -6.190589 0.075835 0.131710 0.258128 -2.613085 -0.577552 -0.463318 -0.100093 0.625493 0.396162 0.735033 0.955212 0.755425 0.688264 0.515632 0.143169 0.465718 0.856264 0.567812
#> Iteration: 50 bestvalit: 82.327221 bestmemit: -5.892323 0.034922 -0.257229 0.008092 -2.783546 -0.260980 0.025384 0.217506 0.737442 0.414658 0.363378 0.880039 0.751960 0.759661 0.356845 0.328096 0.429706 0.899569 0.055229
#> Iteration: 75 bestvalit: 73.101815 bestmemit: -1.611060 0.019852 0.076068 -0.243498 -2.607823 0.270088 0.028235 -0.126477 0.354429 0.288754 0.436638 0.907708 0.753609 0.677864 0.341723 0.313501 0.509465 0.599360 0.466327
#> Iteration: 100 bestvalit: 48.460771 bestmemit: -6.868125 0.007929 -0.481891 -0.299912 -2.506834 0.339104 -0.088509 -0.037243 0.272320 0.246569 0.223930 0.970399 0.723640 0.546904 0.372666 0.448024 0.271390 0.258311 0.767333
#> Iteration: 125 bestvalit: 39.506791 bestmemit: -4.061540 0.009818 -0.125562 0.003637 -2.465915 0.227331 -0.080626 -0.013100 0.236934 0.603824 0.697430 0.977646 0.624687 0.895126 0.234361 0.574582 0.253387 0.802077 0.577003
#> Iteration: 150 bestvalit: 36.784104 bestmemit: -6.199395 0.008001 -0.176366 0.001891 -2.451700 0.191349 -0.016306 -0.029797 0.232162 0.484884 0.366616 0.962455 0.596151 0.986430 0.434120 0.727177 0.164024 0.859368 0.489170
#> Iteration: 175 bestvalit: 29.016499 bestmemit: -3.390508 0.009724 0.214843 0.003795 -2.460777 0.198483 -0.016431 -0.031960 0.076541 0.746859 0.280084 0.949345 0.630752 0.970616 0.131138 0.727275 0.182239 0.799374 0.577839
#> Iteration: 200 bestvalit: 27.698257 bestmemit: -4.790912 0.006826 -0.069152 0.001262 -2.443596 0.227160 -0.047019 -0.002088 0.095485 0.415289 0.299625 0.958794 0.674234 0.997687 0.193707 0.825261 0.084438 0.932503 0.574961
#> Iteration: 225 bestvalit: 26.977968 bestmemit: -5.200689 0.007990 0.001530 0.002536 -2.443277 0.196910 -0.005593 -0.041891 0.091601 0.295270 0.313953 0.956573 0.577332 0.968277 0.274245 0.718443 0.064759 0.975433 0.306097
#> Iteration: 250 bestvalit: 26.495296 bestmemit: -4.699351 0.007648 -0.001221 0.002323 -2.441957 0.209996 -0.016939 -0.035052 0.093693 0.186015 0.330693 0.967085 0.667652 0.999858 0.357845 0.815600 0.048061 0.976268 0.650372
#> Iteration: 275 bestvalit: 25.815102 bestmemit: -3.929578 0.007955 -0.000610 0.002305 -2.445568 0.208136 -0.018549 -0.033076 0.091721 0.055761 0.267385 0.971179 0.738285 0.996456 0.480109 0.874982 0.017485 0.943517 0.488096
#> Iteration: 300 bestvalit: 25.395605 bestmemit: -4.435440 0.008179 -0.000317 0.002743 -2.448300 0.208822 -0.020536 -0.030144 0.087035 0.051330 0.302484 0.971159 0.838979 0.997851 0.538107 0.954862 0.004309 0.969867 0.518750
#> Iteration: 325 bestvalit: 25.265444 bestmemit: -5.092155 0.008088 0.000135 0.002401 -2.447718 0.205827 -0.013718 -0.034720 0.089172 0.050479 0.309827 0.965575 0.738768 0.998240 0.631058 0.951979 0.000228 0.999415 0.023092
#> Iteration: 350 bestvalit: 25.205272 bestmemit: -5.569282 0.008177 -0.000025 0.002517 -2.449022 0.208302 -0.021279 -0.028343 0.088297 0.050083 0.313675 0.965901 0.834944 0.999326 0.612011 0.963257 0.000459 0.999381 0.818729
#> Iteration: 375 bestvalit: 25.195870 bestmemit: -5.842969 0.008311 0.000093 0.002634 -2.449323 0.206075 -0.020077 -0.029694 0.088230 0.050096 0.317006 0.964420 0.708794 0.999908 0.616870 0.962256 0.000001 0.999566 0.632938
#> Iteration: 400 bestvalit: 25.189171 bestmemit: -5.830974 0.008289 0.000122 0.002597 -2.450059 0.208133 -0.019698 -0.030302 0.088009 0.050006 0.312288 0.965600 0.613076 0.999941 0.610057 0.965249 0.000097 0.999022 0.773489
#> Iteration: 425 bestvalit: 25.187335 bestmemit: -5.801263 0.008304 0.000097 0.002621 -2.450164 0.207245 -0.019524 -0.029834 0.087951 0.050029 0.312721 0.965577 0.619869 0.999964 0.610678 0.965523 0.000025 0.999874 0.566665
#> Iteration: 450 bestvalit: 25.185890 bestmemit: -5.599123 0.008273 0.000085 0.002608 -2.449708 0.207184 -0.019118 -0.030078 0.087593 0.050015 0.313248 0.965604 0.618340 0.999995 0.615991 0.965575 0.000002 0.999899 0.793354
#> Iteration: 475 bestvalit: 25.185331 bestmemit: -5.983624 0.008293 0.000090 0.002632 -2.450007 0.206830 -0.018763 -0.030139 0.087533 0.050005 0.311852 0.965752 0.621479 0.999998 0.615494 0.965699 0.000003 0.999936 0.852350
#> Iteration: 500 bestvalit: 25.184862 bestmemit: -6.476625 0.008273 0.000072 0.002620 -2.449728 0.206760 -0.018846 -0.029972 0.087614 0.050001 0.311326 0.965871 0.617979 0.999998 0.616149 0.965851 0.000001 0.999991 0.064650
#> Iteration: 525 bestvalit: 25.184755 bestmemit: -6.655121 0.008262 0.000063 0.002605 -2.449710 0.207038 -0.018767 -0.030126 0.087586 0.050002 0.311427 0.965798 0.615452 0.999999 0.614684 0.965760 0.000001 0.999994 0.500731
#> Iteration: 550 bestvalit: 25.184649 bestmemit: -7.412906 0.008268 0.000067 0.002609 -2.449662 0.206950 -0.018682 -0.030315 0.087631 0.050001 0.311963 0.965799 0.615082 1.000000 0.614645 0.965797 0.000000 0.999989 0.050810
#> Iteration: 575 bestvalit: 25.184625 bestmemit: -7.628261 0.008265 0.000068 0.002606 -2.449670 0.206954 -0.018679 -0.030248 0.087648 0.050000 0.311605 0.965823 0.614836 1.000000 0.614906 0.965815 0.000000 0.999993 0.807703
#> Iteration: 600 bestvalit: 25.184608 bestmemit: -8.117921 0.008271 0.000069 0.002610 -2.449703 0.206873 -0.018696 -0.030215 0.087628 0.050000 0.311336 0.965803 0.614708 1.000000 0.614697 0.965803 0.000000 0.999997 0.758973
#> Iteration: 625 bestvalit: 25.184599 bestmemit: -8.053169 0.008267 0.000065 0.002606 -2.449690 0.206926 -0.018681 -0.030222 0.087622 0.050000 0.311636 0.965808 0.614572 1.000000 0.614576 0.965807 0.000000 1.000000 0.200929
#> Iteration: 650 bestvalit: 25.184598 bestmemit: -8.005454 0.008267 0.000067 0.002607 -2.449694 0.206945 -0.018695 -0.030222 0.087624 0.050000 0.311626 0.965799 0.614550 1.000000 0.614561 0.965799 0.000000 0.999999 0.585474
#> Iteration: 675 bestvalit: 25.184596 bestmemit: -8.035128 0.008270 0.000069 0.002610 -2.449708 0.206927 -0.018709 -0.030226 0.087624 0.050000 0.311689 0.965785 0.614584 1.000000 0.614580 0.965785 0.000000 1.000000 0.565706
#> ... Finished Calibration.
#> Best solution: 25.1845958663821
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 25.1845956635946
#> - total population size: 190
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 107.115971 bestmemit: -6.120121 0.062085 0.104340 0.082396 -4.697885 -0.211656 -0.379275 -0.271235 0.420882 0.542891 0.425971 0.944749 0.959699 0.433500 0.976072 0.272296 0.126454 0.937130 0.843504
#> Iteration: 50 bestvalit: 79.329853 bestmemit: -5.190490 0.079273 0.053549 0.071182 -4.183052 -0.218490 -0.135162 -0.183355 0.404687 0.444583 0.440000 0.851063 0.859488 0.469501 0.230083 0.320438 0.133171 0.376419 0.697777
#> Iteration: 75 bestvalit: 48.300747 bestmemit: -6.285760 0.028908 0.022554 0.015248 -2.607623 0.016110 0.100754 -0.089728 0.136132 0.087056 0.460452 0.634173 0.875002 0.803696 0.584213 0.121342 0.378615 0.079304 0.616420
#> Iteration: 100 bestvalit: 31.463462 bestmemit: -8.933779 0.019462 0.015888 0.010299 -2.497520 0.056067 0.045949 -0.039685 0.064571 0.051032 0.444557 0.471114 0.916137 0.864257 0.994682 0.119692 0.077825 0.360747 0.692381
#> Iteration: 125 bestvalit: 27.741223 bestmemit: -9.274426 0.011866 0.008747 0.003632 -2.438194 0.140068 -0.003148 -0.022492 0.050656 0.060489 0.361476 0.316339 0.955629 0.844746 0.909797 0.153102 0.002864 0.105748 0.899100
#> Iteration: 150 bestvalit: 26.625925 bestmemit: -8.090420 0.013740 0.010573 0.005483 -2.461326 0.164268 -0.030037 -0.020567 0.052807 0.068024 0.367540 0.415586 0.948396 0.907715 0.975259 0.148916 0.001329 0.031511 0.962842
#> Iteration: 175 bestvalit: 25.860568 bestmemit: -7.732888 0.012649 0.009686 0.004222 -2.459145 0.190731 -0.036960 -0.022967 0.052407 0.071857 0.368454 0.474400 0.953119 0.898283 0.997913 0.113383 0.000562 0.120657 0.991283
#> Iteration: 200 bestvalit: 25.693236 bestmemit: -7.362525 0.012912 0.009855 0.004481 -2.461666 0.191487 -0.040525 -0.020351 0.050009 0.071626 0.365349 0.506841 0.945829 0.904620 0.999833 0.098137 0.000092 0.113084 0.979446
#> Iteration: 225 bestvalit: 25.645786 bestmemit: -7.014381 0.012990 0.009855 0.004462 -2.461486 0.192002 -0.046826 -0.016542 0.050008 0.069813 0.360581 0.519566 0.942742 0.899388 0.999279 0.098540 0.000143 0.106295 0.996306
#> Iteration: 250 bestvalit: 25.604320 bestmemit: -6.656351 0.013138 0.009951 0.004525 -2.462901 0.191570 -0.047428 -0.016896 0.050004 0.066729 0.345121 0.517595 0.945437 0.899929 0.999999 0.109450 0.000028 0.094326 0.999080
#> Iteration: 275 bestvalit: 25.536055 bestmemit: -5.805193 0.013582 0.010352 0.004738 -2.466040 0.186525 -0.050030 -0.012839 0.050004 0.061905 0.333696 0.552735 0.942227 0.883939 0.997870 0.112857 0.000378 0.084273 0.998521
#> Iteration: 300 bestvalit: 25.472745 bestmemit: -5.280848 0.013687 0.010438 0.005015 -2.465743 0.185917 -0.048919 -0.015809 0.050002 0.058996 0.331399 0.567849 0.933923 0.875321 0.993631 0.117337 0.002030 0.082050 0.992276
#> Iteration: 325 bestvalit: 25.461462 bestmemit: -5.172220 0.013432 0.010216 0.004774 -2.464253 0.188025 -0.047531 -0.016446 0.050004 0.058711 0.325177 0.565495 0.933314 0.879402 0.994013 0.119347 0.002384 0.077389 0.992037
#> Iteration: 350 bestvalit: 25.452706 bestmemit: -5.328532 0.013375 0.010173 0.004717 -2.463356 0.186902 -0.046720 -0.016186 0.050000 0.059011 0.326060 0.561247 0.934156 0.880498 0.999984 0.116307 0.002201 0.080461 0.999039
#> Iteration: 375 bestvalit: 25.449748 bestmemit: -5.315266 0.013383 0.010204 0.004754 -2.464082 0.188404 -0.047218 -0.016671 0.050002 0.059647 0.324777 0.560220 0.933087 0.879423 0.999940 0.117344 0.002129 0.082170 0.999939
#> Iteration: 400 bestvalit: 25.448039 bestmemit: -5.175756 0.013413 0.010214 0.004780 -2.464257 0.188825 -0.047648 -0.016843 0.050005 0.058983 0.322564 0.563601 0.932280 0.878900 0.999989 0.118965 0.002368 0.079335 0.999999
#> Iteration: 425 bestvalit: 25.447133 bestmemit: -5.115355 0.013442 0.010216 0.004784 -2.464373 0.188583 -0.048179 -0.016353 0.050008 0.058579 0.323670 0.565009 0.931477 0.878280 0.999896 0.120700 0.002582 0.076909 0.999935
#> Iteration: 450 bestvalit: 25.444271 bestmemit: -5.145052 0.013401 0.010196 0.004801 -2.464496 0.188996 -0.048594 -0.015744 0.050008 0.058779 0.326040 0.561927 0.932516 0.879083 0.999988 0.123880 0.002853 0.076765 0.998694
#> Iteration: 475 bestvalit: 25.442366 bestmemit: -5.099578 0.013369 0.010185 0.004798 -2.464665 0.190114 -0.049665 -0.015167 0.050002 0.058893 0.327946 0.567543 0.932423 0.879470 0.999977 0.122451 0.003001 0.076833 0.997698
#> Iteration: 500 bestvalit: 25.441696 bestmemit: -5.063368 0.013391 0.010197 0.004812 -2.464814 0.190023 -0.049396 -0.015502 0.050000 0.058544 0.330580 0.570796 0.932000 0.879370 0.999973 0.122698 0.003270 0.075310 0.996368
#> Iteration: 525 bestvalit: 25.441245 bestmemit: -5.026884 0.013415 0.010211 0.004833 -2.464928 0.189662 -0.049117 -0.015644 0.050000 0.058362 0.329401 0.569947 0.931316 0.878248 1.000000 0.123976 0.003304 0.074563 0.995064
#> Iteration: 550 bestvalit: 25.441172 bestmemit: -5.042779 0.013414 0.010209 0.004833 -2.464887 0.189666 -0.049156 -0.015589 0.050000 0.058479 0.329538 0.569610 0.931547 0.878563 1.000000 0.123672 0.003266 0.074907 0.995059
#> Iteration: 575 bestvalit: 25.440996 bestmemit: -5.046836 0.013404 0.010199 0.004818 -2.464681 0.189610 -0.049194 -0.015631 0.050000 0.058466 0.328914 0.568817 0.931781 0.878190 0.999998 0.123798 0.003200 0.075026 0.994277
#> Iteration: 600 bestvalit: 25.438812 bestmemit: -4.902701 0.013458 0.010250 0.004885 -2.465141 0.189645 -0.050362 -0.015116 0.050000 0.057996 0.328621 0.578384 0.931365 0.878926 0.999993 0.122366 0.003229 0.072424 0.981224
#> Iteration: 625 bestvalit: 25.435981 bestmemit: -4.818692 0.013607 0.010382 0.005029 -2.466026 0.188223 -0.050083 -0.015694 0.050000 0.057906 0.332825 0.585313 0.929767 0.873686 0.999949 0.122592 0.003306 0.071924 0.962835
#> Iteration: 650 bestvalit: 25.423478 bestmemit: -4.472377 0.013605 0.010395 0.005093 -2.466032 0.187850 -0.049964 -0.016363 0.050000 0.057137 0.339087 0.604313 0.929377 0.875852 0.999998 0.126144 0.003956 0.062101 0.896792
#> Iteration: 675 bestvalit: 25.413892 bestmemit: -4.423520 0.013649 0.010444 0.005128 -2.465961 0.186411 -0.047986 -0.018054 0.050000 0.058736 0.338519 0.606958 0.930510 0.872970 0.999999 0.126222 0.003068 0.060561 0.830503
#> Iteration: 700 bestvalit: 25.411833 bestmemit: -4.353553 0.013636 0.010432 0.005149 -2.466182 0.186457 -0.046926 -0.018452 0.050000 0.058207 0.336841 0.609444 0.930068 0.873633 1.000000 0.125548 0.003260 0.057715 0.829704
#> Iteration: 725 bestvalit: 25.411660 bestmemit: -4.339270 0.013626 0.010426 0.005138 -2.466157 0.186493 -0.046885 -0.018510 0.050000 0.058156 0.337583 0.610564 0.930193 0.872935 1.000000 0.125734 0.003287 0.057046 0.825750
#> Iteration: 750 bestvalit: 25.411421 bestmemit: -4.329170 0.013612 0.010417 0.005128 -2.466291 0.186860 -0.047008 -0.018320 0.050000 0.058325 0.337555 0.611052 0.930091 0.872512 1.000000 0.125678 0.003285 0.056791 0.824563
#> Iteration: 775 bestvalit: 25.408943 bestmemit: -4.261775 0.013614 0.010408 0.005093 -2.466488 0.186213 -0.047225 -0.017266 0.050000 0.057976 0.339377 0.612933 0.928801 0.874186 1.000000 0.127962 0.003686 0.055112 0.823048
#> Iteration: 800 bestvalit: 25.395975 bestmemit: -4.272251 0.013422 0.010247 0.004937 -2.465181 0.187992 -0.048370 -0.015900 0.050000 0.058951 0.325869 0.598010 0.928635 0.880411 1.000000 0.130763 0.003705 0.063262 0.848446
#> Iteration: 825 bestvalit: 25.389649 bestmemit: -4.230100 0.013320 0.010166 0.004816 -2.463991 0.187326 -0.046172 -0.017439 0.050000 0.058792 0.323677 0.599367 0.931033 0.879775 0.999999 0.130137 0.003551 0.061903 0.823407
#> Iteration: 850 bestvalit: 25.388861 bestmemit: -4.226732 0.013273 0.010125 0.004768 -2.463731 0.187416 -0.045722 -0.017415 0.050000 0.059010 0.322312 0.597154 0.931051 0.880216 0.999999 0.130938 0.003611 0.062564 0.822520
#> Iteration: 875 bestvalit: 25.380469 bestmemit: -4.376295 0.013263 0.010144 0.004778 -2.463498 0.184469 -0.043122 -0.017453 0.050000 0.058880 0.327125 0.597129 0.931228 0.880191 0.999999 0.127539 0.003645 0.065721 0.825047
#> Iteration: 900 bestvalit: 25.348650 bestmemit: -4.046579 0.013405 0.010286 0.005119 -2.464957 0.183770 -0.041185 -0.020453 0.050000 0.057726 0.327852 0.609637 0.928657 0.873039 0.999997 0.131615 0.004582 0.064302 0.804877
#> Iteration: 925 bestvalit: 25.312970 bestmemit: -3.944714 0.013700 0.010444 0.005262 -2.466437 0.180921 -0.040408 -0.020773 0.050000 0.057111 0.343112 0.635319 0.931215 0.872517 0.999993 0.126442 0.004958 0.059590 0.787245
#> Iteration: 950 bestvalit: 25.311908 bestmemit: -3.930655 0.013709 0.010460 0.005274 -2.466449 0.181451 -0.041707 -0.020335 0.050000 0.057125 0.342797 0.636867 0.932018 0.873428 0.999993 0.126449 0.004887 0.060457 0.788254
#> Iteration: 975 bestvalit: 25.311611 bestmemit: -3.943810 0.013669 0.010433 0.005243 -2.466320 0.182088 -0.041851 -0.020384 0.050000 0.057331 0.342922 0.636167 0.931687 0.874401 0.999993 0.126367 0.004906 0.060611 0.788250
#> Iteration: 1000 bestvalit: 25.311596 bestmemit: -3.946866 0.013672 0.010435 0.005243 -2.466362 0.182155 -0.041822 -0.020480 0.050000 0.057335 0.343047 0.636212 0.931730 0.874420 0.999993 0.126349 0.004902 0.060606 0.788737
#> Iteration: 1025 bestvalit: 25.311466 bestmemit: -3.942459 0.013691 0.010454 0.005259 -2.466490 0.182124 -0.041845 -0.020559 0.050000 0.057386 0.342506 0.636641 0.931865 0.873554 0.999992 0.126097 0.004821 0.061060 0.788806
#> Iteration: 1050 bestvalit: 25.310615 bestmemit: -3.929022 0.013742 0.010502 0.005337 -2.466804 0.181552 -0.041830 -0.020636 0.050000 0.057399 0.343710 0.639070 0.931056 0.874765 0.999985 0.125998 0.004924 0.061734 0.785780
#> Iteration: 1075 bestvalit: 25.305637 bestmemit: -3.950055 0.013728 0.010513 0.005339 -2.467145 0.181133 -0.040738 -0.021040 0.050000 0.057326 0.342313 0.638941 0.929971 0.873368 0.999963 0.125619 0.004920 0.061827 0.787816
#> Iteration: 1100 bestvalit: 25.302327 bestmemit: -3.949172 0.013664 0.010433 0.005241 -2.466182 0.181654 -0.041521 -0.020576 0.050000 0.057315 0.341637 0.636445 0.931274 0.874234 0.999960 0.127152 0.005012 0.061277 0.789741
#> Iteration: 1125 bestvalit: 25.302111 bestmemit: -3.944315 0.013691 0.010449 0.005254 -2.466359 0.181484 -0.041395 -0.020670 0.050000 0.057204 0.342537 0.638020 0.931673 0.874593 0.999960 0.126920 0.005051 0.060803 0.790167
#> Iteration: 1150 bestvalit: 25.302077 bestmemit: -3.945578 0.013683 0.010442 0.005251 -2.466276 0.181365 -0.041201 -0.020758 0.050000 0.057196 0.342852 0.638169 0.931819 0.874622 0.999960 0.126913 0.005072 0.060665 0.788099
#> Iteration: 1175 bestvalit: 25.302061 bestmemit: -3.941374 0.013683 0.010441 0.005252 -2.466259 0.181314 -0.041213 -0.020727 0.050000 0.057164 0.343069 0.638399 0.931775 0.874733 0.999960 0.127020 0.005103 0.060545 0.787762
#> Iteration: 1200 bestvalit: 25.301953 bestmemit: -3.953991 0.013702 0.010457 0.005269 -2.466336 0.181157 -0.041290 -0.020757 0.050000 0.057163 0.343188 0.637232 0.931606 0.874642 0.999960 0.127533 0.005097 0.060985 0.789977
#> Iteration: 1225 bestvalit: 25.301751 bestmemit: -3.965999 0.013698 0.010457 0.005273 -2.466482 0.181086 -0.041230 -0.020486 0.050000 0.057075 0.342808 0.636252 0.931539 0.874309 0.999961 0.127416 0.005101 0.060786 0.794522
#> Iteration: 1250 bestvalit: 25.299126 bestmemit: -3.908135 0.013686 0.010435 0.005272 -2.466468 0.181795 -0.042326 -0.020041 0.050000 0.057209 0.341812 0.637812 0.932197 0.876302 0.999961 0.127937 0.005221 0.060183 0.796689
#> Iteration: 1275 bestvalit: 25.251115 bestmemit: -3.972770 0.014048 0.010739 0.005485 -2.469221 0.179377 -0.040841 -0.020925 0.050000 0.059246 0.335524 0.636928 0.936398 0.876076 0.999992 0.117125 0.005648 0.079617 0.981230
#> Iteration: 1300 bestvalit: 25.198799 bestmemit: -3.729214 0.013296 0.010135 0.004894 -2.463899 0.182116 -0.037135 -0.021275 0.050000 0.061788 0.335049 0.635242 0.936948 0.886415 0.999999 0.119464 0.008002 0.082295 0.997339
#> Iteration: 1325 bestvalit: 25.193411 bestmemit: -3.772870 0.013423 0.010240 0.004992 -2.463752 0.179278 -0.037656 -0.020705 0.050000 0.061395 0.337366 0.633732 0.937268 0.886056 0.999995 0.121040 0.007962 0.085390 0.999955
#> Iteration: 1350 bestvalit: 25.192530 bestmemit: -3.766810 0.013395 0.010209 0.004954 -2.463546 0.179726 -0.037854 -0.020672 0.050000 0.061878 0.338009 0.634699 0.937816 0.888517 0.999999 0.121319 0.007911 0.084932 0.999924
#> Iteration: 1375 bestvalit: 25.179355 bestmemit: -3.757316 0.013376 0.010225 0.005013 -2.463811 0.178582 -0.037846 -0.019366 0.050000 0.062613 0.336842 0.640909 0.938090 0.890971 0.999935 0.124074 0.005761 0.074100 0.998249
#> Iteration: 1400 bestvalit: 25.166686 bestmemit: -3.788578 0.013437 0.010275 0.005020 -2.464145 0.178797 -0.037788 -0.020167 0.050000 0.062605 0.334346 0.647679 0.938052 0.888605 0.999890 0.120866 0.003985 0.068048 0.997381
#> Iteration: 1425 bestvalit: 25.164210 bestmemit: -3.807772 0.013457 0.010295 0.005037 -2.463737 0.177398 -0.035921 -0.021941 0.050000 0.062167 0.336265 0.647423 0.937508 0.886406 0.999873 0.121545 0.004012 0.068067 0.998019
#> Iteration: 1450 bestvalit: 25.162814 bestmemit: -3.761934 0.013477 0.010309 0.005060 -2.463875 0.177560 -0.036475 -0.021689 0.050000 0.061945 0.334430 0.648324 0.937706 0.885217 0.999892 0.122056 0.003993 0.067453 0.999978
#> Iteration: 1475 bestvalit: 25.161051 bestmemit: -3.750114 0.013462 0.010307 0.005075 -2.463539 0.177179 -0.036470 -0.021557 0.050000 0.062355 0.335006 0.650122 0.938115 0.885160 0.999995 0.122639 0.003732 0.067102 0.999983
#> Iteration: 1500 bestvalit: 25.160597 bestmemit: -3.765483 0.013457 0.010300 0.005053 -2.463435 0.177501 -0.036785 -0.021617 0.050000 0.062355 0.334755 0.650262 0.938126 0.885582 0.999999 0.121772 0.003646 0.067295 0.999964
#> Iteration: 1525 bestvalit: 25.160012 bestmemit: -3.810090 0.013473 0.010306 0.005053 -2.463708 0.177535 -0.036713 -0.021531 0.050000 0.062254 0.335254 0.648530 0.938143 0.885382 0.999990 0.121649 0.003592 0.066781 0.999945
#> Iteration: 1550 bestvalit: 25.159601 bestmemit: -3.799274 0.013453 0.010297 0.005047 -2.463695 0.177643 -0.036169 -0.021920 0.050000 0.062621 0.335511 0.650716 0.938085 0.886355 0.999993 0.120614 0.003529 0.066802 0.999928
#> Iteration: 1575 bestvalit: 25.159403 bestmemit: -3.789381 0.013453 0.010296 0.005044 -2.463726 0.177915 -0.036406 -0.021901 0.050000 0.062699 0.335422 0.651224 0.937971 0.886611 0.999995 0.120704 0.003509 0.066640 0.999990
#> Iteration: 1600 bestvalit: 25.159276 bestmemit: -3.797925 0.013447 0.010292 0.005038 -2.463670 0.177889 -0.036536 -0.021758 0.050000 0.062755 0.335629 0.651242 0.937830 0.886362 1.000000 0.120459 0.003458 0.066694 1.000000
#> Iteration: 1625 bestvalit: 25.159254 bestmemit: -3.799605 0.013437 0.010284 0.005032 -2.463651 0.178010 -0.036499 -0.021750 0.050000 0.062767 0.335533 0.650929 0.937748 0.886520 1.000000 0.120490 0.003476 0.066579 1.000000
#> Iteration: 1650 bestvalit: 25.159236 bestmemit: -3.798409 0.013442 0.010288 0.005036 -2.463684 0.177895 -0.036445 -0.021747 0.050000 0.062690 0.335844 0.651212 0.937717 0.886708 1.000000 0.120559 0.003510 0.066462 1.000000
#> Iteration: 1675 bestvalit: 25.159213 bestmemit: -3.798172 0.013435 0.010284 0.005029 -2.463680 0.177974 -0.036522 -0.021634 0.050000 0.062773 0.335837 0.651482 0.937870 0.886717 1.000000 0.120421 0.003478 0.066380 1.000000
#> Iteration: 1700 bestvalit: 25.159149 bestmemit: -3.797552 0.013428 0.010280 0.005024 -2.463611 0.177934 -0.036554 -0.021556 0.050000 0.062804 0.335577 0.651316 0.938007 0.886843 1.000000 0.120577 0.003440 0.066283 0.999999
#> Iteration: 1725 bestvalit: 25.158825 bestmemit: -3.795042 0.013414 0.010269 0.005003 -2.463597 0.178447 -0.036830 -0.021512 0.050000 0.062882 0.334449 0.652219 0.938802 0.887396 1.000000 0.120438 0.003182 0.064605 0.999983
#> Iteration: 1750 bestvalit: 25.158415 bestmemit: -3.799359 0.013400 0.010262 0.005007 -2.463583 0.178518 -0.037245 -0.021033 0.050000 0.063025 0.335685 0.654562 0.938637 0.886014 1.000000 0.119883 0.002980 0.063067 0.999968
#> Iteration: 1775 bestvalit: 25.158301 bestmemit: -3.797878 0.013391 0.010259 0.004992 -2.463508 0.178734 -0.037273 -0.021271 0.050000 0.063087 0.335674 0.655690 0.938809 0.886134 1.000000 0.119690 0.002849 0.062554 0.999965
#> Iteration: 1800 bestvalit: 25.158131 bestmemit: -3.792102 0.013413 0.010281 0.005007 -2.463533 0.178345 -0.037595 -0.020990 0.050000 0.063034 0.335326 0.656241 0.938755 0.886149 1.000000 0.120064 0.002696 0.062173 0.999958
#> Iteration: 1825 bestvalit: 25.157521 bestmemit: -3.795630 0.013420 0.010282 0.005014 -2.463466 0.178607 -0.038045 -0.020900 0.050000 0.063102 0.337244 0.658344 0.938036 0.887851 1.000000 0.120568 0.002633 0.060424 0.999947
#> Iteration: 1850 bestvalit: 25.157041 bestmemit: -3.791613 0.013398 0.010263 0.004990 -2.463204 0.178752 -0.038017 -0.021002 0.050000 0.063236 0.336129 0.658292 0.937949 0.887505 1.000000 0.120603 0.002418 0.059401 0.999932
#> Iteration: 1875 bestvalit: 25.156785 bestmemit: -3.790089 0.013418 0.010284 0.005009 -2.463245 0.178613 -0.038359 -0.020799 0.050000 0.063406 0.336103 0.660203 0.938166 0.887343 1.000000 0.120628 0.002096 0.058147 0.999907
#> Iteration: 1900 bestvalit: 25.155459 bestmemit: -3.794743 0.013433 0.010302 0.005043 -2.463529 0.178255 -0.037642 -0.021158 0.050000 0.062823 0.337580 0.661620 0.938220 0.886798 1.000000 0.120960 0.002189 0.056072 0.999864
#> Iteration: 1925 bestvalit: 25.153185 bestmemit: -3.778053 0.013576 0.010427 0.005164 -2.464207 0.177115 -0.037913 -0.021612 0.050000 0.062187 0.337416 0.670722 0.938568 0.888482 1.000000 0.121099 0.001098 0.048219 0.999703
#> Iteration: 1950 bestvalit: 25.152008 bestmemit: -3.806022 0.013542 0.010394 0.005137 -2.464009 0.177797 -0.037899 -0.021756 0.050000 0.062316 0.336083 0.673230 0.938672 0.888617 1.000000 0.119655 0.000379 0.042872 0.999611
#> Iteration: 1975 bestvalit: 25.150440 bestmemit: -3.815784 0.013570 0.010418 0.005169 -2.464168 0.177202 -0.037645 -0.021880 0.050000 0.062145 0.334651 0.672870 0.939452 0.889083 1.000000 0.120176 0.000044 0.040743 0.999545
#> Iteration: 2000 bestvalit: 25.149966 bestmemit: -3.814770 0.013608 0.010460 0.005219 -2.464530 0.177015 -0.037551 -0.022112 0.050000 0.062121 0.334894 0.673101 0.939056 0.887787 1.000000 0.120418 0.000006 0.041232 0.999530
#> Iteration: 2025 bestvalit: 25.147174 bestmemit: -3.811432 0.013570 0.010425 0.005176 -2.464186 0.176108 -0.036346 -0.022454 0.050000 0.062171 0.337584 0.673266 0.938333 0.886215 1.000000 0.122221 0.000018 0.038232 0.999483
#> Iteration: 2050 bestvalit: 25.146389 bestmemit: -3.810355 0.013580 0.010434 0.005179 -2.464278 0.175811 -0.035993 -0.022527 0.050000 0.062359 0.337539 0.671822 0.936968 0.885700 1.000000 0.123036 0.000002 0.038177 0.999466
#> Iteration: 2075 bestvalit: 25.146358 bestmemit: -3.816611 0.013587 0.010439 0.005185 -2.464304 0.175713 -0.035942 -0.022586 0.050000 0.062288 0.337825 0.671830 0.936857 0.885496 1.000000 0.122961 0.000000 0.038053 0.999460
#> Iteration: 2100 bestvalit: 25.146350 bestmemit: -3.815665 0.013586 0.010438 0.005186 -2.464278 0.175683 -0.035904 -0.022610 0.050000 0.062336 0.337939 0.671981 0.936880 0.885462 1.000000 0.122904 0.000000 0.038142 0.999461
#> Iteration: 2125 bestvalit: 25.146305 bestmemit: -3.823076 0.013580 0.010432 0.005182 -2.464250 0.175803 -0.035969 -0.022590 0.050000 0.062357 0.337831 0.671218 0.937022 0.885446 1.000000 0.123094 0.000000 0.038147 0.999461
#> Iteration: 2150 bestvalit: 25.146054 bestmemit: -3.832965 0.013589 0.010436 0.005192 -2.464254 0.175888 -0.036104 -0.022618 0.050000 0.062381 0.336080 0.668624 0.937281 0.885902 1.000000 0.123291 0.000009 0.039398 0.999468
#> Iteration: 2175 bestvalit: 25.144660 bestmemit: -3.847377 0.013520 0.010368 0.005110 -2.463867 0.176787 -0.036017 -0.022597 0.050000 0.063112 0.332703 0.664715 0.937753 0.886382 1.000000 0.121932 0.000057 0.043010 0.999541
#> Iteration: 2200 bestvalit: 25.138779 bestmemit: -3.897984 0.013596 0.010430 0.005245 -2.465414 0.177260 -0.035399 -0.023141 0.050000 0.062725 0.332185 0.662078 0.936884 0.885588 0.999999 0.122792 0.000336 0.044811 0.999542
#> Iteration: 2225 bestvalit: 25.113617 bestmemit: -4.144601 0.013523 0.010314 0.005157 -2.464207 0.179948 -0.036569 -0.024341 0.050000 0.061586 0.330335 0.645049 0.935215 0.882780 0.999997 0.127951 0.001442 0.060936 0.999991
#> Iteration: 2250 bestvalit: 25.023704 bestmemit: -3.996919 0.013719 0.010486 0.005470 -2.466978 0.174311 -0.034537 -0.021248 0.050000 0.057122 0.347215 0.684024 0.935152 0.889591 0.999993 0.133673 0.004230 0.073735 0.991283
#> Iteration: 2275 bestvalit: 25.001283 bestmemit: -3.832422 0.013535 0.010330 0.005209 -2.464367 0.174120 -0.033928 -0.022689 0.050000 0.057937 0.344602 0.682416 0.931619 0.885272 0.999992 0.139556 0.004590 0.079427 0.987187
#> Iteration: 2300 bestvalit: 24.998471 bestmemit: -3.842279 0.013561 0.010357 0.005224 -2.464756 0.173235 -0.032049 -0.023453 0.050000 0.057689 0.342111 0.681080 0.931976 0.884497 0.999992 0.137630 0.004472 0.079089 0.991757
#> Iteration: 2325 bestvalit: 24.992361 bestmemit: -3.859619 0.013523 0.010327 0.005207 -2.464541 0.174283 -0.033665 -0.022624 0.050000 0.057938 0.342731 0.680964 0.931586 0.885949 0.999992 0.137437 0.004452 0.079980 0.999979
#> Iteration: 2350 bestvalit: 24.991778 bestmemit: -3.841895 0.013534 0.010334 0.005216 -2.464536 0.174233 -0.033242 -0.023109 0.050000 0.058275 0.342266 0.680622 0.931487 0.886102 0.999992 0.138216 0.004490 0.081125 0.999998
#> Iteration: 2375 bestvalit: 24.991619 bestmemit: -3.845582 0.013521 0.010321 0.005199 -2.464360 0.174088 -0.033264 -0.022936 0.050000 0.058226 0.342387 0.680394 0.931673 0.886418 0.999992 0.138487 0.004517 0.081114 0.999997
#> Iteration: 2400 bestvalit: 24.991575 bestmemit: -3.840884 0.013529 0.010329 0.005212 -2.464529 0.174205 -0.033191 -0.023036 0.050000 0.058278 0.342353 0.680706 0.931677 0.886293 0.999992 0.138463 0.004516 0.081040 1.000000
#> Iteration: 2425 bestvalit: 24.991553 bestmemit: -3.843532 0.013530 0.010332 0.005213 -2.464534 0.174225 -0.033234 -0.023082 0.050000 0.058243 0.342563 0.680802 0.931590 0.886244 0.999992 0.138511 0.004519 0.081175 0.999999
#> Iteration: 2450 bestvalit: 24.991551 bestmemit: -3.843596 0.013529 0.010332 0.005212 -2.464527 0.174234 -0.033239 -0.023086 0.050000 0.058251 0.342508 0.680725 0.931605 0.886260 0.999992 0.138501 0.004517 0.081178 1.000000
#> Iteration: 2475 bestvalit: 24.991551 bestmemit: -3.843870 0.013528 0.010330 0.005211 -2.464519 0.174248 -0.033237 -0.023083 0.050000 0.058263 0.342491 0.680690 0.931606 0.886260 0.999992 0.138488 0.004516 0.081207 1.000000
#> ... Finished Calibration.
#> Best solution: 24.9915505754943
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.3State.normal.boxcox.AR3.a0std
#> Reference model name for maximum acceptable calib. solution: model.3State.normal.boxcox.AR2.a0std
#> Reference model maximum acceptable calib. solution: 25.4442435151519
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 190
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 107.671374 bestmemit: -8.412470 0.213033 -0.122723 0.009041 -2.694382 0.217460 0.262290 -0.076213 0.388654 0.404724 0.612377 0.897593 0.987837 0.771977 0.019770 0.572166 0.232687 0.620104 0.646663
#> Iteration: 50 bestvalit: 97.891578 bestmemit: -4.388036 0.061168 -0.446165 -0.049452 -3.749245 -0.333684 0.083015 -0.053830 0.701757 0.248054 0.607862 0.889608 0.930414 0.697942 0.467139 0.656053 0.202548 0.646325 0.755185
#> Iteration: 75 bestvalit: 74.998420 bestmemit: -3.957436 0.033138 -0.111282 0.036731 -2.590887 -0.230850 -0.089618 0.095627 0.312216 0.522812 0.683211 0.822981 0.743644 0.896053 0.490680 0.389079 0.340775 0.544736 0.198715
#> Iteration: 100 bestvalit: 58.927734 bestmemit: -3.928848 0.018816 -0.223299 -0.071171 -2.568093 0.241825 -0.177930 0.002240 0.413018 0.298391 0.732582 0.899708 0.803374 0.728507 0.684095 0.443292 0.248797 0.757943 0.361484
#> Iteration: 125 bestvalit: 53.944384 bestmemit: -4.593967 0.012578 0.014050 0.163680 -2.465299 0.331067 -0.233692 -0.057180 0.471272 0.323698 0.498750 0.978733 0.884697 0.617047 0.498284 0.526099 0.266008 0.867054 0.821928
#> Iteration: 150 bestvalit: 45.950890 bestmemit: -5.242377 0.007715 0.042632 0.150922 -2.487696 0.252528 -0.019818 -0.038991 0.339300 0.567660 0.411833 0.994187 0.674925 0.821363 0.611026 0.473209 0.231717 0.615365 0.367321
#> Iteration: 175 bestvalit: 42.999074 bestmemit: -4.342424 0.009067 0.389079 0.009855 -2.479926 0.268208 -0.097509 -0.016285 0.283835 0.280442 0.072479 0.990268 0.408548 0.964018 0.378549 0.380937 0.038353 0.571798 0.768401
#> Iteration: 200 bestvalit: 40.043500 bestmemit: -4.402607 0.008340 0.220078 0.010892 -2.470511 0.276418 -0.086813 -0.044033 0.272856 0.226712 0.116525 0.988401 0.251546 0.979854 0.494030 0.265492 0.089600 0.594256 0.419407
#> Iteration: 225 bestvalit: 40.043500 bestmemit: -4.402607 0.008340 0.220078 0.010892 -2.470511 0.276418 -0.086813 -0.044033 0.272856 0.226712 0.116525 0.988401 0.251546 0.979854 0.494030 0.265492 0.089600 0.594256 0.419407
#> ... Finished Calibration.
#> Best solution: 40.0434995371345
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 40.0434995371345
#> - total population size: 190
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 108.406507 bestmemit: -9.335185 0.107432 0.082358 0.039538 -3.357346 -0.272960 -0.303020 -0.514542 0.609111 0.130795 0.348710 0.861631 0.860045 0.813433 0.734242 0.328356 0.086480 0.762786 0.361691
#> Iteration: 50 bestvalit: 53.852984 bestmemit: -5.380454 0.023329 0.036674 0.026895 -2.742363 0.157249 -0.141448 -0.099934 0.572332 0.216837 0.371276 0.674371 0.961188 0.764126 0.786612 0.033808 0.360265 0.529700 0.783966
#> Iteration: 75 bestvalit: 29.813722 bestmemit: -5.292570 0.006422 0.009377 0.002060 -2.453667 0.256604 -0.076475 -0.039598 0.485902 0.079615 0.329391 0.533258 0.956884 0.715226 0.648924 0.046535 0.219026 0.874920 0.760731
#> Iteration: 100 bestvalit: 27.022703 bestmemit: -9.413198 0.005102 0.006433 0.000009 -2.450542 0.238457 -0.016786 -0.025909 0.491205 0.077626 0.223573 0.464502 0.956850 0.817026 0.331214 0.003864 0.277603 0.990021 0.504136
#> Iteration: 125 bestvalit: 26.556938 bestmemit: -8.931098 0.008643 0.005770 -0.000389 -2.456169 0.275185 -0.031847 -0.024345 0.476615 0.076116 0.196205 0.444354 0.918561 0.692443 0.311386 0.001099 0.002545 0.994252 0.227190
#> Iteration: 150 bestvalit: 26.451570 bestmemit: -6.407211 0.008638 0.005638 -0.000408 -2.455044 0.274763 -0.035446 -0.019536 0.476315 0.073210 0.197372 0.444541 0.915075 0.686784 0.327141 0.000155 0.000739 0.994976 0.227640
#> Iteration: 175 bestvalit: 26.428616 bestmemit: -8.098904 0.008479 0.005554 -0.000410 -2.455066 0.277893 -0.036783 -0.019787 0.476540 0.073631 0.200184 0.445756 0.919773 0.686791 0.334513 0.000042 0.000550 0.999614 0.245451
#> Iteration: 200 bestvalit: 26.370701 bestmemit: -5.080545 0.008164 0.005678 -0.000344 -2.452634 0.271523 -0.038826 -0.017313 0.462882 0.076175 0.208977 0.428299 0.928369 0.700852 0.353797 0.000006 0.002055 0.999472 0.291678
#> Iteration: 225 bestvalit: 26.315321 bestmemit: -7.121189 0.007792 0.006074 0.000056 -2.451732 0.258911 -0.033212 -0.020613 0.444097 0.074866 0.216590 0.398620 0.937295 0.725533 0.376395 0.000072 0.010123 0.999749 0.347123
#> Iteration: 250 bestvalit: 26.223176 bestmemit: -5.420025 0.007280 0.006480 0.000381 -2.454170 0.256126 -0.034575 -0.020675 0.419611 0.074583 0.239024 0.362498 0.947417 0.766811 0.409095 0.000250 0.032622 0.997987 0.470834
#> Iteration: 275 bestvalit: 26.160600 bestmemit: -9.442420 0.006716 0.006202 0.000212 -2.452987 0.262626 -0.041336 -0.016801 0.410307 0.075088 0.254300 0.354523 0.944706 0.791647 0.415723 0.000269 0.052575 0.994042 0.538703
#> Iteration: 300 bestvalit: 26.152989 bestmemit: -6.397201 0.006632 0.006236 0.000277 -2.453169 0.262772 -0.041146 -0.017653 0.407682 0.075407 0.257252 0.351605 0.947738 0.795140 0.423378 0.000288 0.054454 0.997490 0.557423
#> Iteration: 325 bestvalit: 26.148515 bestmemit: -8.651921 0.006654 0.006316 0.000366 -2.453975 0.262315 -0.041672 -0.017164 0.405052 0.075352 0.258826 0.349690 0.948296 0.799119 0.426670 0.000339 0.058070 0.999988 0.565518
#> Iteration: 350 bestvalit: 26.138919 bestmemit: -7.410522 0.006611 0.006309 0.000330 -2.453496 0.260631 -0.039712 -0.018093 0.399314 0.075829 0.260238 0.346842 0.952116 0.822151 0.418408 0.000387 0.084545 0.998720 0.573512
#> Iteration: 375 bestvalit: 26.133624 bestmemit: -6.791832 0.006751 0.006389 0.000382 -2.453209 0.257130 -0.038649 -0.017684 0.397961 0.075951 0.257101 0.347972 0.952143 0.824604 0.414835 0.000403 0.089016 0.999970 0.556198
#> Iteration: 400 bestvalit: 26.124285 bestmemit: -7.860036 0.006716 0.006350 0.000350 -2.453146 0.257703 -0.038428 -0.017789 0.398453 0.076375 0.256790 0.348369 0.952685 0.827717 0.411179 0.000012 0.091766 0.999994 0.552639
#> Iteration: 425 bestvalit: 26.121340 bestmemit: -6.842970 0.006746 0.006329 0.000312 -2.453115 0.258012 -0.038313 -0.017716 0.398250 0.076484 0.255750 0.349175 0.952963 0.829102 0.407708 0.000002 0.092934 0.999936 0.546427
#> Iteration: 450 bestvalit: 26.109359 bestmemit: -6.791857 0.006946 0.006204 0.000163 -2.452776 0.258765 -0.037564 -0.017505 0.395739 0.076542 0.246505 0.356988 0.954664 0.835000 0.388111 0.000000 0.096971 0.999084 0.492669
#> Iteration: 475 bestvalit: 26.107421 bestmemit: -8.719754 0.006930 0.006150 0.000156 -2.452505 0.259371 -0.038278 -0.016816 0.393123 0.077358 0.245964 0.359625 0.954272 0.837923 0.387180 0.000007 0.099812 0.997489 0.481765
#> Iteration: 500 bestvalit: 26.102671 bestmemit: -6.984058 0.006949 0.006077 0.000089 -2.452026 0.260034 -0.038580 -0.016596 0.394241 0.077273 0.241754 0.362598 0.953583 0.829541 0.382985 0.000002 0.087905 0.994035 0.455979
#> Iteration: 525 bestvalit: 26.064565 bestmemit: -6.110435 0.006733 0.005851 -0.000033 -2.452941 0.266368 -0.039985 -0.014784 0.378282 0.076597 0.233567 0.361463 0.953952 0.838241 0.369412 0.000003 0.074184 0.960701 0.369575
#> Iteration: 550 bestvalit: 26.031309 bestmemit: -7.167585 0.006479 0.006159 0.000262 -2.452331 0.258647 -0.038933 -0.015583 0.356518 0.076512 0.241270 0.341641 0.952711 0.857603 0.393560 0.000063 0.076950 0.955767 0.392754
#> Iteration: 575 bestvalit: 25.914691 bestmemit: -6.504674 0.006432 0.006072 0.000244 -2.453944 0.268576 -0.042781 -0.016609 0.326568 0.076145 0.240336 0.341410 0.952806 0.866021 0.419745 0.000080 0.041572 0.999400 0.371518
#> Iteration: 600 bestvalit: 25.793922 bestmemit: -6.188804 0.006835 0.006150 0.000862 -2.455131 0.274056 -0.046978 -0.017719 0.295035 0.080014 0.233282 0.373278 0.953923 0.855136 0.488679 0.000182 0.000240 0.998763 0.330221
#> Iteration: 625 bestvalit: 25.686935 bestmemit: -9.879934 0.007488 0.006884 0.001442 -2.457524 0.269444 -0.052178 -0.019613 0.276292 0.079346 0.253853 0.370471 0.956968 0.868945 0.569478 0.000407 0.000712 0.998375 0.524781
#> Iteration: 650 bestvalit: 25.627228 bestmemit: -6.465239 0.007877 0.006930 0.001465 -2.456885 0.269388 -0.055134 -0.017552 0.281105 0.078392 0.255227 0.383700 0.957458 0.865480 0.586616 0.000435 0.000323 0.996520 0.570761
#> Iteration: 675 bestvalit: 25.321735 bestmemit: -9.989872 0.008481 0.006839 0.001593 -2.458411 0.266282 -0.047963 -0.017459 0.366779 0.077207 0.283632 0.423980 0.963152 0.904767 0.543231 0.001550 0.004972 0.984220 0.822416
#> Iteration: 700 bestvalit: 25.238139 bestmemit: -8.481498 0.008706 0.006770 0.001424 -2.456744 0.262942 -0.044489 -0.019371 0.410789 0.075191 0.292911 0.435375 0.961899 0.899994 0.526695 0.001286 0.000075 0.999130 0.944171
#> Iteration: 725 bestvalit: 25.230037 bestmemit: -6.779957 0.008632 0.006775 0.001472 -2.456948 0.263695 -0.046885 -0.017454 0.397570 0.075799 0.291515 0.432657 0.961429 0.904722 0.531975 0.001278 0.000010 0.999929 0.901953
#> Iteration: 750 bestvalit: 25.218646 bestmemit: -8.690553 0.008356 0.006603 0.001400 -2.457376 0.266953 -0.045379 -0.017997 0.415439 0.076951 0.297134 0.434231 0.962837 0.906174 0.518193 0.000979 0.000025 0.999450 0.838034
#> Iteration: 775 bestvalit: 25.215818 bestmemit: -8.603391 0.008334 0.006590 0.001389 -2.456499 0.265048 -0.045215 -0.017412 0.416752 0.076789 0.296313 0.434176 0.962416 0.905380 0.516098 0.000972 0.000001 0.999155 0.815645
#> Iteration: 800 bestvalit: 25.205459 bestmemit: -6.680265 0.008325 0.006560 0.001285 -2.456388 0.265080 -0.043109 -0.018880 0.431175 0.075550 0.297660 0.432862 0.962305 0.905216 0.508665 0.000065 0.000001 0.999050 0.197078
#> Iteration: 825 bestvalit: 25.197412 bestmemit: -8.723158 0.008342 0.006588 0.001377 -2.456654 0.264502 -0.044815 -0.016986 0.432946 0.076054 0.299351 0.435481 0.961943 0.906025 0.511563 0.000002 0.000005 0.999981 0.087685
#> Iteration: 850 bestvalit: 25.197184 bestmemit: -8.304142 0.008335 0.006591 0.001379 -2.456638 0.264348 -0.044793 -0.016900 0.432306 0.076161 0.298654 0.435075 0.961944 0.904830 0.511331 0.000000 0.000005 0.999998 0.097450
#> Iteration: 875 bestvalit: 25.197074 bestmemit: -9.843070 0.008352 0.006607 0.001398 -2.456697 0.264074 -0.044731 -0.016955 0.431694 0.076244 0.298742 0.435223 0.961997 0.905645 0.512274 0.000000 0.000007 1.000000 0.057296
#> Iteration: 900 bestvalit: 25.196489 bestmemit: -7.141106 0.008387 0.006625 0.001418 -2.456657 0.263920 -0.045026 -0.016929 0.429759 0.076460 0.298656 0.435861 0.962079 0.905581 0.515597 0.000000 0.000011 0.999996 0.560348
#> Iteration: 925 bestvalit: 25.196070 bestmemit: -8.643291 0.008450 0.006653 0.001434 -2.456888 0.264353 -0.045610 -0.016977 0.426699 0.076367 0.298165 0.436406 0.961936 0.904882 0.519846 0.000000 0.000018 0.999992 0.745238
#> Iteration: 950 bestvalit: 25.196054 bestmemit: -8.580180 0.008448 0.006652 0.001434 -2.456905 0.264446 -0.045667 -0.016961 0.426484 0.076377 0.298261 0.436407 0.961953 0.905187 0.520011 0.000000 0.000018 0.999991 0.877895
#> Iteration: 975 bestvalit: 25.196005 bestmemit: -9.254379 0.008436 0.006647 0.001431 -2.456898 0.264485 -0.045549 -0.017029 0.426532 0.076443 0.298170 0.436198 0.961910 0.904960 0.519490 0.000000 0.000008 0.999963 0.409068
#> Iteration: 1000 bestvalit: 25.195912 bestmemit: -9.866421 0.008450 0.006652 0.001435 -2.456884 0.264408 -0.045652 -0.016978 0.426567 0.076402 0.298332 0.436495 0.962001 0.905287 0.520058 0.000000 0.000000 0.999927 0.113163
#> Iteration: 1025 bestvalit: 25.195906 bestmemit: -8.428869 0.008455 0.006654 0.001435 -2.456885 0.264398 -0.045702 -0.016964 0.426421 0.076418 0.298366 0.436521 0.961943 0.905219 0.520375 0.000000 0.000000 0.999917 0.324103
#> Iteration: 1050 bestvalit: 25.195899 bestmemit: -8.369801 0.008454 0.006655 0.001435 -2.456915 0.264458 -0.045692 -0.017001 0.426014 0.076419 0.298192 0.436351 0.961913 0.905138 0.520322 0.000000 0.000000 0.999892 0.943893
#> Iteration: 1075 bestvalit: 25.195863 bestmemit: -9.777433 0.008459 0.006657 0.001436 -2.456983 0.264611 -0.045848 -0.016927 0.425433 0.076416 0.298136 0.436350 0.961958 0.905372 0.520553 0.000000 0.000000 0.999779 0.188595
#> Iteration: 1100 bestvalit: 25.194479 bestmemit: -8.543116 0.008524 0.006646 0.001432 -2.457136 0.264596 -0.045586 -0.016734 0.428946 0.076877 0.297718 0.439371 0.962010 0.906759 0.511345 0.000000 0.000012 0.995111 0.964940
#> Iteration: 1125 bestvalit: 25.193426 bestmemit: -7.978494 0.008586 0.006598 0.001395 -2.457005 0.265522 -0.045136 -0.017346 0.429087 0.076867 0.295401 0.443080 0.962083 0.906657 0.504382 0.000000 0.000024 0.990144 0.995903
#> Iteration: 1150 bestvalit: 25.192836 bestmemit: -9.953789 0.008607 0.006581 0.001372 -2.456984 0.265852 -0.045931 -0.016654 0.429703 0.076783 0.294922 0.443952 0.962181 0.906160 0.501001 0.000000 0.000028 0.988394 0.838604
#> Iteration: 1175 bestvalit: 25.192673 bestmemit: -8.217373 0.008619 0.006569 0.001358 -2.456878 0.265852 -0.045928 -0.016501 0.430717 0.076676 0.294640 0.444704 0.962018 0.906053 0.498884 0.000000 0.000030 0.987466 0.985180
#> Iteration: 1200 bestvalit: 25.192604 bestmemit: -8.037071 0.008614 0.006568 0.001359 -2.456926 0.265870 -0.045907 -0.016462 0.430865 0.076627 0.294498 0.444578 0.961920 0.905782 0.498489 0.000000 0.000030 0.987561 0.982168
#> Iteration: 1225 bestvalit: 25.192559 bestmemit: -7.515493 0.008617 0.006567 0.001360 -2.456915 0.265821 -0.045900 -0.016422 0.431190 0.076665 0.294466 0.444817 0.961960 0.905830 0.497878 0.000000 0.000030 0.987271 0.985619
#> Iteration: 1250 bestvalit: 25.192344 bestmemit: -7.307311 0.008606 0.006569 0.001357 -2.456856 0.265392 -0.045779 -0.016189 0.431787 0.076654 0.294180 0.444203 0.962041 0.905694 0.496363 0.000000 0.000030 0.987395 0.611205
#> Iteration: 1275 bestvalit: 25.191682 bestmemit: -7.476793 0.008548 0.006521 0.001316 -2.456741 0.265545 -0.044810 -0.016534 0.438205 0.076601 0.295405 0.444382 0.961855 0.905890 0.489930 0.000000 0.000031 0.987171 0.042710
#> Iteration: 1300 bestvalit: 25.191563 bestmemit: -8.522716 0.008540 0.006514 0.001314 -2.456759 0.265728 -0.045131 -0.016267 0.438380 0.076699 0.295550 0.444542 0.962008 0.905889 0.489422 0.000000 0.000031 0.986921 0.000587
#> Iteration: 1325 bestvalit: 25.191473 bestmemit: -9.855454 0.008535 0.006498 0.001300 -2.456699 0.265907 -0.045126 -0.016229 0.438523 0.076731 0.295313 0.444816 0.962102 0.906325 0.487503 0.000000 0.000034 0.986114 0.056520
#> Iteration: 1350 bestvalit: 25.191422 bestmemit: -9.906001 0.008533 0.006494 0.001296 -2.456657 0.265827 -0.044954 -0.016312 0.439306 0.076760 0.295313 0.444945 0.962047 0.906070 0.486631 0.000000 0.000034 0.985949 0.001743
#> Iteration: 1375 bestvalit: 25.191416 bestmemit: -9.706616 0.008536 0.006494 0.001298 -2.456668 0.265800 -0.044905 -0.016313 0.439749 0.076768 0.295375 0.445154 0.962032 0.906074 0.486332 0.000000 0.000035 0.985853 0.000275
#> Iteration: 1400 bestvalit: 25.191413 bestmemit: -8.017419 0.008533 0.006492 0.001296 -2.456654 0.265792 -0.044857 -0.016322 0.440011 0.076767 0.295403 0.445174 0.962017 0.906146 0.485927 0.000000 0.000035 0.985792 0.000067
#> Iteration: 1425 bestvalit: 25.191411 bestmemit: -9.375246 0.008531 0.006489 0.001293 -2.456645 0.265795 -0.044822 -0.016329 0.440269 0.076762 0.295412 0.445183 0.962049 0.906121 0.485613 0.000000 0.000035 0.985765 0.000544
#> ... Finished Calibration.
#> Best solution: 25.1914110028198
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 25.1914110028198
#> - total population size: 190
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 74.046367 bestmemit: -3.709002 -0.307048 -0.379301 0.020443 -2.527338 0.143298 -0.215340 0.049592 0.531159 0.193858 0.480080 0.791161 0.895228 0.976929 0.687851 0.479438 0.200935 0.403444 0.236398
#> Iteration: 50 bestvalit: 41.794257 bestmemit: -7.437246 0.000682 0.381704 0.004787 -2.439105 0.103198 0.073599 0.035937 0.607682 0.457013 0.253235 0.913175 0.495138 0.998111 0.263653 0.827677 0.006084 0.092810 0.021345
#> Iteration: 75 bestvalit: 30.550482 bestmemit: -3.123818 0.001667 0.443767 0.007467 -2.435072 0.195649 -0.032945 -0.006570 0.359038 0.459755 0.135221 0.884199 0.530701 0.999799 0.246204 0.867697 0.007336 0.189397 0.397720
#> Iteration: 100 bestvalit: 28.862051 bestmemit: -3.447416 0.002361 0.006329 0.008466 -2.442862 0.189282 -0.035572 -0.009794 0.333087 0.446174 0.130080 0.878733 0.591524 0.999938 0.315805 0.858851 0.011512 0.037772 0.440697
#> Iteration: 125 bestvalit: 27.843373 bestmemit: -3.604676 0.003247 0.006113 0.009170 -2.443995 0.179369 -0.020449 -0.030219 0.323648 0.435316 0.104760 0.888767 0.474305 0.977017 0.172884 0.881062 0.006989 0.003726 0.333738
#> Iteration: 150 bestvalit: 27.297279 bestmemit: -4.845260 0.002471 0.005273 0.008344 -2.446748 0.203483 -0.029695 -0.023338 0.373594 0.370931 0.092324 0.901189 0.515781 0.989758 0.241320 0.878972 0.021959 0.001510 0.246648
#> Iteration: 175 bestvalit: 27.141964 bestmemit: -4.317329 0.002345 0.006980 0.008232 -2.448221 0.215262 -0.033800 -0.026378 0.333830 0.336409 0.092429 0.901479 0.459333 0.999624 0.132508 0.864033 0.033753 0.003731 0.280538
#> Iteration: 200 bestvalit: 26.984617 bestmemit: -3.885133 0.002714 0.010801 0.008374 -2.448926 0.206932 -0.025830 -0.027680 0.337344 0.303469 0.091522 0.913045 0.326288 0.999914 0.006657 0.864487 0.038233 0.000170 0.180058
#> Iteration: 225 bestvalit: 26.865698 bestmemit: -4.684015 0.002564 0.014912 0.008252 -2.448878 0.209891 -0.024719 -0.029215 0.321276 0.281512 0.093044 0.923388 0.164091 0.999986 0.001672 0.867403 0.034684 0.007177 0.138345
#> Iteration: 250 bestvalit: 26.823230 bestmemit: -4.955271 0.002445 0.016162 0.008050 -2.449418 0.217790 -0.034054 -0.022852 0.307118 0.279395 0.094570 0.925493 0.111721 0.999986 0.000277 0.865426 0.032322 0.011317 0.127202
#> Iteration: 275 bestvalit: 26.817664 bestmemit: -5.127234 0.002466 0.016244 0.008046 -2.448752 0.216318 -0.033908 -0.022452 0.304086 0.275135 0.093262 0.927121 0.086297 0.999996 0.000128 0.866831 0.031601 0.012030 0.129881
#> Iteration: 300 bestvalit: 26.816528 bestmemit: -4.942842 0.002448 0.016104 0.008018 -2.448617 0.216870 -0.034451 -0.022100 0.304101 0.276415 0.093411 0.926627 0.087199 0.999998 0.000025 0.866162 0.032133 0.011633 0.127598
#> Iteration: 325 bestvalit: 26.808429 bestmemit: -4.983076 0.002482 0.015824 0.008056 -2.448666 0.216186 -0.034730 -0.021704 0.306629 0.268685 0.093932 0.930109 0.000845 0.999993 0.001124 0.867041 0.031963 0.008498 0.127573
#> Iteration: 350 bestvalit: 26.803362 bestmemit: -5.283045 0.002381 0.015149 0.007975 -2.448379 0.215876 -0.033287 -0.021517 0.305916 0.270186 0.093423 0.929325 0.001210 0.999997 0.001657 0.867750 0.031190 0.010900 0.115359
#> Iteration: 375 bestvalit: 26.798877 bestmemit: -5.342365 0.002392 0.015118 0.008017 -2.448734 0.215982 -0.033336 -0.021964 0.307109 0.277682 0.093278 0.925066 0.000194 1.000000 0.000007 0.866131 0.031773 0.012487 0.116706
#> Iteration: 400 bestvalit: 26.796913 bestmemit: -5.794650 0.002423 0.015123 0.008027 -2.448866 0.215351 -0.032590 -0.021845 0.305930 0.266954 0.093148 0.926878 0.000896 0.999998 0.000001 0.865653 0.032416 0.012750 0.115895
#> Iteration: 425 bestvalit: 26.791928 bestmemit: -7.290210 0.002520 0.014620 0.008134 -2.449438 0.216314 -0.035140 -0.021470 0.304370 0.253943 0.093628 0.927244 0.000569 0.999952 0.000135 0.863483 0.031608 0.013438 0.117788
#> Iteration: 450 bestvalit: 26.784190 bestmemit: -7.806126 0.002539 0.013496 0.008154 -2.449086 0.214263 -0.033379 -0.022064 0.305335 0.182730 0.092220 0.920895 0.005781 0.999834 0.000116 0.852260 0.033576 0.033896 0.104801
#> Iteration: 475 bestvalit: 26.782803 bestmemit: -7.357381 0.002550 0.013345 0.008166 -2.449213 0.214677 -0.033220 -0.022583 0.305071 0.168615 0.091669 0.917829 0.007696 0.999797 0.000120 0.848484 0.034503 0.039233 0.101136
#> Iteration: 500 bestvalit: 26.782154 bestmemit: -7.212211 0.002536 0.013099 0.008159 -2.449142 0.214835 -0.033394 -0.022549 0.303191 0.145875 0.091716 0.918447 0.001594 0.999774 0.000145 0.846132 0.034283 0.045194 0.096851
#> Iteration: 525 bestvalit: 26.782005 bestmemit: -7.504100 0.002548 0.013006 0.008168 -2.449165 0.214639 -0.033249 -0.022668 0.303917 0.137284 0.091511 0.917874 0.001581 0.999765 0.000135 0.844834 0.034637 0.047411 0.095479
#> Iteration: 550 bestvalit: 26.781921 bestmemit: -8.379891 0.002552 0.012961 0.008172 -2.449209 0.214673 -0.033316 -0.022671 0.304370 0.134145 0.091669 0.917589 0.001569 0.999760 0.000141 0.844381 0.034505 0.048354 0.095427
#> Iteration: 575 bestvalit: 26.781682 bestmemit: -8.907800 0.002553 0.012853 0.008175 -2.449136 0.214461 -0.032874 -0.023013 0.303840 0.127363 0.091490 0.917390 0.001688 0.999754 0.000162 0.843656 0.034453 0.049881 0.094857
#> Iteration: 600 bestvalit: 26.780850 bestmemit: -8.247718 0.002584 0.012757 0.008208 -2.449464 0.214265 -0.033039 -0.022857 0.302856 0.126348 0.091839 0.918883 0.001456 0.999786 0.000243 0.844229 0.034093 0.047295 0.097122
#> Iteration: 625 bestvalit: 26.778076 bestmemit: -9.706767 0.002575 0.012521 0.008220 -2.449311 0.213798 -0.031893 -0.024137 0.302463 0.144906 0.092577 0.922055 0.000951 0.999935 0.000698 0.848135 0.034066 0.031764 0.108466
#> Iteration: 650 bestvalit: 26.772825 bestmemit: -9.897926 0.002476 0.012242 0.008104 -2.449804 0.217980 -0.033501 -0.023510 0.299657 0.142845 0.092211 0.920315 0.001171 0.999975 0.001390 0.846359 0.034032 0.027165 0.099993
#> Iteration: 675 bestvalit: 26.768204 bestmemit: -7.692963 0.002532 0.012104 0.008152 -2.449415 0.215773 -0.033239 -0.023108 0.303380 0.150560 0.091272 0.914957 0.001448 1.000000 0.001719 0.844996 0.034571 0.025881 0.107512
#> Iteration: 700 bestvalit: 26.767948 bestmemit: -7.945851 0.002542 0.012108 0.008161 -2.449463 0.215566 -0.033197 -0.022988 0.302823 0.151678 0.091169 0.914633 0.001472 1.000000 0.001735 0.844853 0.034659 0.025683 0.107976
#> Iteration: 725 bestvalit: 26.767930 bestmemit: -8.007594 0.002543 0.012118 0.008166 -2.449439 0.215426 -0.033210 -0.022969 0.302958 0.152294 0.091223 0.914846 0.001477 1.000000 0.001712 0.845090 0.034584 0.025576 0.108547
#> Iteration: 750 bestvalit: 26.767912 bestmemit: -8.727458 0.002546 0.012131 0.008168 -2.449474 0.215511 -0.033241 -0.023011 0.302910 0.153345 0.091178 0.914693 0.001603 1.000000 0.001691 0.845125 0.034609 0.025538 0.108435
#> Iteration: 775 bestvalit: 26.767907 bestmemit: -8.967755 0.002544 0.012132 0.008166 -2.449449 0.215521 -0.033275 -0.022981 0.302918 0.153404 0.091194 0.914774 0.001618 1.000000 0.001688 0.845162 0.034626 0.025457 0.108437
#> Iteration: 800 bestvalit: 26.767899 bestmemit: -8.432688 0.002546 0.012133 0.008170 -2.449451 0.215410 -0.033280 -0.022953 0.303100 0.154188 0.091202 0.914750 0.001700 1.000000 0.001695 0.845288 0.034605 0.025199 0.108952
#> Iteration: 825 bestvalit: 26.767807 bestmemit: -7.944776 0.002546 0.012090 0.008175 -2.449342 0.214977 -0.032967 -0.023069 0.303368 0.160200 0.091131 0.914218 0.002713 1.000000 0.001895 0.846025 0.034667 0.022341 0.111676
#> Iteration: 850 bestvalit: 26.767657 bestmemit: -9.797353 0.002550 0.012053 0.008180 -2.449297 0.214642 -0.032783 -0.023131 0.303280 0.168616 0.091307 0.914611 0.004354 1.000000 0.002159 0.847518 0.034705 0.017646 0.115022
#> Iteration: 875 bestvalit: 26.767380 bestmemit: -9.578308 0.002560 0.012061 0.008189 -2.449378 0.214668 -0.033057 -0.022949 0.303404 0.174580 0.091279 0.915092 0.005698 0.999999 0.002331 0.848658 0.034679 0.014635 0.116346
#> Iteration: 900 bestvalit: 26.767348 bestmemit: -9.876063 0.002560 0.012055 0.008187 -2.449341 0.214622 -0.032836 -0.023137 0.303085 0.174398 0.091214 0.915096 0.005744 0.999999 0.002349 0.848671 0.034705 0.014652 0.116254
#> Iteration: 925 bestvalit: 26.767259 bestmemit: -8.507048 0.002564 0.012032 0.008196 -2.449402 0.214492 -0.032807 -0.023079 0.302862 0.175705 0.091034 0.913742 0.006050 0.999999 0.002490 0.848040 0.034860 0.014534 0.116912
#> Iteration: 950 bestvalit: 26.767100 bestmemit: -8.169784 0.002557 0.012005 0.008186 -2.449217 0.214379 -0.032813 -0.023062 0.303458 0.182194 0.091218 0.915005 0.007676 0.999999 0.002762 0.849888 0.034765 0.010145 0.119200
#> Iteration: 975 bestvalit: 26.766883 bestmemit: -7.836841 0.002574 0.011966 0.008208 -2.449391 0.214063 -0.032444 -0.023313 0.303086 0.185938 0.090985 0.913582 0.008838 0.999998 0.003137 0.849797 0.034747 0.008582 0.120968
#> Iteration: 1000 bestvalit: 26.766154 bestmemit: -8.702626 0.002566 0.011908 0.008204 -2.449498 0.214239 -0.032394 -0.023237 0.301769 0.187863 0.090999 0.914499 0.011523 0.999996 0.003966 0.850459 0.034986 0.004112 0.121359
#> Iteration: 1025 bestvalit: 26.764875 bestmemit: -7.065258 0.002536 0.011780 0.008161 -2.449338 0.215047 -0.033081 -0.022830 0.302296 0.188196 0.091233 0.914214 0.014769 0.999994 0.005217 0.850643 0.034736 0.000093 0.121119
#> Iteration: 1050 bestvalit: 26.764641 bestmemit: -8.457823 0.002526 0.011738 0.008150 -2.449430 0.215465 -0.032969 -0.022959 0.302403 0.184081 0.091117 0.914238 0.015585 0.999993 0.005699 0.850299 0.034610 0.000010 0.119233
#> Iteration: 1075 bestvalit: 26.764397 bestmemit: -9.137704 0.002515 0.011773 0.008143 -2.449420 0.215635 -0.032762 -0.023182 0.301596 0.184510 0.091062 0.913824 0.015619 0.999993 0.005516 0.850425 0.034915 0.000009 0.117952
#> Iteration: 1100 bestvalit: 26.763524 bestmemit: -9.107693 0.002524 0.012017 0.008142 -2.449573 0.215971 -0.033148 -0.022916 0.301845 0.190797 0.090994 0.913741 0.014579 0.999999 0.004059 0.853989 0.034565 0.000131 0.113360
#> Iteration: 1125 bestvalit: 26.761313 bestmemit: -7.293338 0.002411 0.012052 0.008048 -2.448913 0.215072 -0.032133 -0.022374 0.303626 0.145888 0.091540 0.915179 0.021960 0.999999 0.007289 0.855803 0.033724 0.000248 0.099070
#> Iteration: 1150 bestvalit: 26.759070 bestmemit: -7.224235 0.002413 0.012137 0.008045 -2.448505 0.211992 -0.029447 -0.022330 0.304767 0.110206 0.091558 0.914830 0.027543 1.000000 0.009719 0.856118 0.034453 0.000516 0.091387
#> Iteration: 1175 bestvalit: 26.755943 bestmemit: -6.381612 0.002363 0.012304 0.008014 -2.448334 0.211509 -0.028974 -0.021954 0.303174 0.073837 0.092098 0.915129 0.035127 0.999999 0.012523 0.856787 0.034288 0.001962 0.079287
#> Iteration: 1200 bestvalit: 26.734113 bestmemit: -8.435914 0.002447 0.012758 0.008159 -2.448771 0.212468 -0.031216 -0.022853 0.298668 0.050512 0.090633 0.907202 0.050991 0.999990 0.017033 0.853588 0.034796 0.010477 0.071171
#> Iteration: 1225 bestvalit: 26.731408 bestmemit: -9.907074 0.002504 0.012808 0.008157 -2.449029 0.213547 -0.031668 -0.023083 0.302284 0.050393 0.090920 0.909653 0.050253 0.999988 0.016708 0.853860 0.034895 0.011175 0.069602
#> Iteration: 1250 bestvalit: 26.731219 bestmemit: -8.868124 0.002527 0.012839 0.008175 -2.449221 0.213648 -0.031710 -0.023225 0.301571 0.050055 0.090781 0.909999 0.050847 0.999987 0.016842 0.854014 0.034758 0.011532 0.069111
#> Iteration: 1275 bestvalit: 26.730929 bestmemit: -7.567443 0.002519 0.012867 0.008169 -2.449147 0.213769 -0.031524 -0.023481 0.301472 0.050009 0.090961 0.910304 0.051118 0.999988 0.016803 0.854583 0.034748 0.011272 0.068612
#> Iteration: 1300 bestvalit: 26.728480 bestmemit: -8.248946 0.002600 0.013038 0.008250 -2.449181 0.211695 -0.031012 -0.023549 0.304090 0.050053 0.091027 0.910209 0.056298 0.999989 0.017746 0.858993 0.034673 0.007475 0.069233
#> Iteration: 1325 bestvalit: 26.727599 bestmemit: -9.006611 0.002601 0.012946 0.008273 -2.448870 0.210630 -0.030783 -0.023653 0.303751 0.050147 0.091162 0.909966 0.059075 0.999985 0.018920 0.858985 0.034819 0.005144 0.073532
#> Iteration: 1350 bestvalit: 26.727538 bestmemit: -9.776320 0.002593 0.012941 0.008266 -2.448875 0.210861 -0.030996 -0.023507 0.303494 0.050080 0.091116 0.910039 0.058606 0.999985 0.018787 0.858549 0.034966 0.005506 0.073156
#> Iteration: 1375 bestvalit: 26.727431 bestmemit: -8.032664 0.002597 0.012938 0.008266 -2.448788 0.210656 -0.030843 -0.023614 0.303388 0.050003 0.091122 0.910220 0.059000 0.999985 0.018896 0.858935 0.034895 0.005140 0.073432
#> Iteration: 1400 bestvalit: 26.727348 bestmemit: -8.224627 0.002596 0.012968 0.008267 -2.448803 0.210593 -0.030745 -0.023664 0.303479 0.050000 0.091001 0.909853 0.058981 0.999986 0.018754 0.859224 0.034932 0.005328 0.072692
#> Iteration: 1425 bestvalit: 26.727012 bestmemit: -9.008864 0.002598 0.013018 0.008270 -2.448736 0.210270 -0.030697 -0.023528 0.303609 0.050002 0.091132 0.909952 0.059400 0.999987 0.018656 0.860278 0.034887 0.004705 0.072401
#> Iteration: 1450 bestvalit: 26.727001 bestmemit: -8.807148 0.002597 0.013025 0.008269 -2.448750 0.210318 -0.030630 -0.023586 0.303655 0.050002 0.091070 0.910044 0.059121 0.999988 0.018534 0.860307 0.034922 0.004883 0.072044
#> Iteration: 1475 bestvalit: 26.726998 bestmemit: -9.269339 0.002597 0.013028 0.008268 -2.448751 0.210353 -0.030651 -0.023576 0.303678 0.050000 0.091093 0.910090 0.059074 0.999988 0.018507 0.860336 0.034919 0.004901 0.071950
#> Iteration: 1500 bestvalit: 26.726991 bestmemit: -9.117771 0.002596 0.013035 0.008266 -2.448754 0.210375 -0.030624 -0.023591 0.303664 0.050001 0.091100 0.910256 0.058967 0.999988 0.018434 0.860454 0.034936 0.004876 0.071757
#> Iteration: 1525 bestvalit: 26.725406 bestmemit: -7.868220 0.002567 0.013082 0.008223 -2.448840 0.210884 -0.030355 -0.023321 0.302775 0.050300 0.091400 0.911341 0.060705 0.999992 0.017390 0.863280 0.034814 0.000127 0.068857
#> Iteration: 1550 bestvalit: 26.724956 bestmemit: -8.619982 0.002540 0.013056 0.008203 -2.448714 0.211106 -0.030545 -0.023195 0.303573 0.050363 0.091080 0.910051 0.061025 0.999993 0.017267 0.862990 0.034881 0.000001 0.068211
#> Iteration: 1575 bestvalit: 26.724882 bestmemit: -9.463743 0.002544 0.013059 0.008209 -2.448737 0.211018 -0.030344 -0.023382 0.303610 0.050352 0.091019 0.909703 0.061304 0.999993 0.017333 0.862983 0.034889 0.000003 0.068316
#> Iteration: 1600 bestvalit: 26.723938 bestmemit: -8.754658 0.002560 0.013006 0.008231 -2.448738 0.211248 -0.030813 -0.023481 0.301736 0.050076 0.090737 0.908211 0.064089 0.999989 0.018155 0.861127 0.035267 0.000010 0.069897
#> Iteration: 1625 bestvalit: 26.723666 bestmemit: -9.541244 0.002569 0.013002 0.008231 -2.448936 0.211661 -0.030906 -0.023598 0.302881 0.050074 0.090833 0.909203 0.063591 0.999989 0.017968 0.861344 0.034980 0.000021 0.069572
#> Iteration: 1650 bestvalit: 26.723490 bestmemit: -8.489514 0.002565 0.013008 0.008226 -2.449024 0.211967 -0.031084 -0.023478 0.302868 0.050217 0.090786 0.909408 0.063011 0.999989 0.017565 0.861044 0.035025 0.000212 0.068971
#> Iteration: 1675 bestvalit: 26.723463 bestmemit: -8.508374 0.002563 0.013009 0.008222 -2.448974 0.211975 -0.031094 -0.023487 0.302553 0.050221 0.090898 0.909446 0.063091 0.999989 0.017608 0.861186 0.034902 0.000211 0.069057
#> Iteration: 1700 bestvalit: 26.723298 bestmemit: -7.637088 0.002551 0.013060 0.008209 -2.449043 0.212501 -0.031318 -0.023381 0.302842 0.050432 0.090994 0.910152 0.062241 0.999992 0.016697 0.861800 0.034829 0.000230 0.067409
#> Iteration: 1725 bestvalit: 26.723189 bestmemit: -8.675216 0.002558 0.013101 0.008212 -2.449033 0.212364 -0.031175 -0.023496 0.302791 0.050558 0.090950 0.909649 0.062376 0.999993 0.016375 0.862237 0.034823 0.000342 0.066816
#> Iteration: 1750 bestvalit: 26.723149 bestmemit: -9.123300 0.002558 0.013107 0.008212 -2.449030 0.212360 -0.031238 -0.023438 0.302713 0.050608 0.090922 0.910070 0.062084 0.999993 0.016217 0.862371 0.034804 0.000404 0.066682
#> Iteration: 1775 bestvalit: 26.721579 bestmemit: -9.598573 0.002529 0.013212 0.008197 -2.449023 0.212905 -0.031567 -0.023449 0.301512 0.053124 0.091480 0.910417 0.058873 1.000000 0.012887 0.861312 0.034580 0.002164 0.066324
#> Iteration: 1800 bestvalit: 26.721102 bestmemit: -8.412000 0.002555 0.013210 0.008208 -2.449076 0.212504 -0.031242 -0.023426 0.302192 0.053065 0.090964 0.910217 0.058760 1.000000 0.012814 0.861261 0.034913 0.002094 0.066040
#> Iteration: 1825 bestvalit: 26.721047 bestmemit: -8.316467 0.002553 0.013210 0.008203 -2.449018 0.212579 -0.031383 -0.023354 0.302719 0.053125 0.091122 0.910698 0.058436 1.000000 0.012738 0.861454 0.034754 0.002182 0.066183
#> Iteration: 1850 bestvalit: 26.721031 bestmemit: -8.919021 0.002557 0.013214 0.008207 -2.449040 0.212496 -0.031370 -0.023344 0.303077 0.053134 0.091080 0.910776 0.058371 1.000000 0.012728 0.861515 0.034771 0.002197 0.066247
#> Iteration: 1875 bestvalit: 26.720956 bestmemit: -9.964413 0.002559 0.013217 0.008210 -2.449024 0.212421 -0.031325 -0.023390 0.302891 0.053153 0.091065 0.910821 0.058447 1.000000 0.012711 0.861553 0.034756 0.002228 0.066360
#> Iteration: 1900 bestvalit: 26.720937 bestmemit: -8.672269 0.002562 0.013219 0.008213 -2.449040 0.212350 -0.031379 -0.023310 0.303040 0.053152 0.091030 0.910440 0.058645 1.000000 0.012757 0.861379 0.034882 0.002197 0.066409
#> Iteration: 1925 bestvalit: 26.720848 bestmemit: -9.926661 0.002566 0.013230 0.008222 -2.448939 0.211888 -0.031095 -0.023448 0.303164 0.053198 0.091014 0.910398 0.059054 1.000000 0.012849 0.861711 0.034950 0.001984 0.067002
#> Iteration: 1950 bestvalit: 26.719759 bestmemit: -8.764630 0.002556 0.013278 0.008212 -2.449079 0.212354 -0.031452 -0.023162 0.302060 0.053086 0.091274 0.911463 0.061156 1.000000 0.012281 0.862762 0.034818 0.000025 0.065764
#> Iteration: 1975 bestvalit: 26.719640 bestmemit: -8.723545 0.002555 0.013272 0.008205 -2.449051 0.212511 -0.031467 -0.023219 0.303057 0.053039 0.091269 0.911356 0.061186 1.000000 0.012275 0.862898 0.034719 0.000003 0.065519
#> Iteration: 2000 bestvalit: 26.719534 bestmemit: -8.440278 0.002556 0.013273 0.008204 -2.448957 0.212362 -0.031312 -0.023337 0.302767 0.052959 0.091136 0.911057 0.061687 1.000000 0.012332 0.863119 0.034617 0.000007 0.065488
#> Iteration: 2025 bestvalit: 26.719484 bestmemit: -8.599839 0.002561 0.013283 0.008209 -2.448999 0.212318 -0.031366 -0.023294 0.303199 0.053003 0.091181 0.911142 0.061592 1.000000 0.012262 0.862980 0.034790 0.000001 0.065594
#> Iteration: 2050 bestvalit: 26.719451 bestmemit: -8.196973 0.002554 0.013276 0.008201 -2.448941 0.212432 -0.031520 -0.023184 0.303055 0.053017 0.091243 0.911329 0.061472 1.000000 0.012225 0.862987 0.034727 0.000000 0.065561
#> Iteration: 2075 bestvalit: 26.719444 bestmemit: -8.430860 0.002558 0.013279 0.008207 -2.448983 0.212345 -0.031405 -0.023264 0.303227 0.053007 0.091199 0.911193 0.061535 1.000000 0.012266 0.862991 0.034762 0.000000 0.065626
#> Iteration: 2100 bestvalit: 26.719444 bestmemit: -8.530673 0.002558 0.013279 0.008207 -2.448985 0.212360 -0.031417 -0.023258 0.303204 0.053005 0.091201 0.911187 0.061540 1.000000 0.012264 0.862983 0.034758 0.000000 0.065607
#> ... Finished Calibration.
#> Best solution: 26.719443475296
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 25.1914110028198
#> - total population size: 190
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 94.598198 bestmemit: -3.050204 0.008166 0.029846 -0.002212 -2.723128 -0.118035 -0.073171 0.250486 0.337136 0.264952 0.269290 0.629104 0.909816 0.766073 0.517592 0.264164 0.222259 0.616729 0.619164
#> Iteration: 50 bestvalit: 50.134814 bestmemit: -4.939728 0.017832 0.027050 0.024642 -2.458457 0.001333 -0.077649 -0.066778 0.505801 0.434517 0.247706 0.595708 0.624425 0.933835 0.495861 0.369651 0.149821 0.884545 0.718626
#> Iteration: 75 bestvalit: 29.259291 bestmemit: -3.514519 0.002228 0.003245 0.009636 -2.461688 0.199002 -0.013673 -0.029210 0.533773 0.206534 0.078268 0.392907 0.805733 0.952952 0.483357 0.312552 0.010175 0.333032 0.007567
#> Iteration: 100 bestvalit: 27.715002 bestmemit: -3.770855 0.004598 0.001492 0.008355 -2.448964 0.210265 -0.020076 -0.035611 0.581207 0.226345 0.086470 0.349110 0.871959 0.955351 0.503082 0.321529 0.001473 0.314364 0.027504
#> Iteration: 125 bestvalit: 27.468478 bestmemit: -3.777782 0.004631 0.001469 0.008078 -2.448392 0.210345 -0.025473 -0.025413 0.589532 0.215244 0.088705 0.311812 0.957996 0.965623 0.544441 0.308744 0.002504 0.206743 0.001255
#> Iteration: 150 bestvalit: 27.320450 bestmemit: -4.896125 0.003869 0.001291 0.008013 -2.443201 0.198770 -0.021368 -0.025182 0.548729 0.197396 0.090491 0.352413 0.920338 0.967248 0.597204 0.348214 0.000074 0.005112 0.000001
#> Iteration: 175 bestvalit: 27.245636 bestmemit: -6.180912 0.004410 0.000759 0.008111 -2.442310 0.192628 -0.015914 -0.027404 0.503121 0.155046 0.089112 0.388936 0.898201 0.967421 0.660858 0.370789 0.000494 0.000559 0.005712
#> Iteration: 200 bestvalit: 27.065795 bestmemit: -7.721789 0.003814 0.000659 0.008362 -2.446763 0.202065 -0.017769 -0.033830 0.361811 0.125594 0.087039 0.509306 0.707420 0.959930 0.666538 0.460318 0.000417 0.057986 0.016771
#> Iteration: 225 bestvalit: 27.001971 bestmemit: -8.067963 0.004017 0.000203 0.008051 -2.445187 0.203633 -0.018507 -0.031088 0.350306 0.126699 0.089059 0.494246 0.750528 0.960512 0.705851 0.469941 0.000011 0.105775 0.000347
#> Iteration: 250 bestvalit: 26.964619 bestmemit: -7.998082 0.003877 0.000362 0.007999 -2.444550 0.203562 -0.022018 -0.027047 0.371609 0.139704 0.089792 0.470951 0.806350 0.964298 0.727568 0.467946 0.000039 0.116280 0.000053
#> Iteration: 275 bestvalit: 26.949774 bestmemit: -8.129270 0.004104 0.000485 0.008216 -2.446527 0.204158 -0.023446 -0.027133 0.360180 0.137761 0.089033 0.479093 0.800358 0.963987 0.733223 0.477666 0.001209 0.126251 0.000535
#> Iteration: 300 bestvalit: 26.934091 bestmemit: -8.216654 0.003869 0.000623 0.008111 -2.446827 0.206615 -0.022118 -0.028640 0.374623 0.147601 0.091218 0.478765 0.808130 0.963567 0.737909 0.478344 0.000257 0.098847 0.001800
#> Iteration: 325 bestvalit: 26.886822 bestmemit: -8.732394 0.003710 0.000764 0.008177 -2.446288 0.205761 -0.024073 -0.027303 0.415357 0.155701 0.092159 0.500174 0.821561 0.967035 0.766845 0.493106 0.003243 0.001915 0.004331
#> Iteration: 350 bestvalit: 26.871610 bestmemit: -8.787287 0.003768 0.000875 0.008277 -2.446630 0.205021 -0.026504 -0.025981 0.423671 0.159062 0.091116 0.496800 0.826744 0.966194 0.769669 0.490643 0.000133 0.001013 0.000934
#> Iteration: 375 bestvalit: 26.869460 bestmemit: -8.785888 0.003765 0.000886 0.008279 -2.446216 0.204780 -0.027161 -0.025921 0.424458 0.159492 0.090770 0.497588 0.823974 0.965912 0.767898 0.490414 0.000213 0.000060 0.000003
#> Iteration: 400 bestvalit: 26.866455 bestmemit: -8.746457 0.003688 0.000822 0.008203 -2.445796 0.205329 -0.028021 -0.024443 0.421621 0.158118 0.090588 0.497113 0.822044 0.964936 0.765207 0.489228 0.000037 0.000023 0.000022
#> Iteration: 425 bestvalit: 26.864324 bestmemit: -8.715166 0.003811 0.000832 0.008270 -2.445980 0.204826 -0.028277 -0.024670 0.416166 0.154941 0.090861 0.497869 0.818375 0.964946 0.762696 0.489182 0.000137 0.000489 0.000010
#> Iteration: 450 bestvalit: 26.862041 bestmemit: -8.678320 0.003857 0.000854 0.008286 -2.446029 0.205117 -0.027849 -0.025695 0.410380 0.152879 0.091049 0.495540 0.818037 0.964129 0.761023 0.486673 0.000013 0.003415 0.000005
#> Iteration: 475 bestvalit: 26.858082 bestmemit: -8.483346 0.003866 0.000756 0.008269 -2.446053 0.205453 -0.027545 -0.026207 0.394991 0.149478 0.090289 0.494049 0.814376 0.964429 0.752880 0.488150 0.000061 0.017118 0.000038
#> Iteration: 500 bestvalit: 26.855026 bestmemit: -8.407733 0.003845 0.000672 0.008225 -2.446011 0.205667 -0.026978 -0.026071 0.388952 0.147893 0.089833 0.496721 0.810271 0.964539 0.749053 0.490953 0.000233 0.018934 0.000548
#> Iteration: 525 bestvalit: 26.853548 bestmemit: -8.396254 0.003855 0.000698 0.008259 -2.446291 0.205868 -0.027028 -0.026489 0.386350 0.146958 0.089818 0.496345 0.810752 0.963846 0.748866 0.490189 0.000001 0.019371 0.000641
#> Iteration: 550 bestvalit: 26.851791 bestmemit: -8.333176 0.003858 0.000640 0.008243 -2.445930 0.204183 -0.026312 -0.026011 0.383393 0.146059 0.089676 0.497973 0.809210 0.963607 0.746618 0.491819 0.000009 0.018584 0.000900
#> Iteration: 575 bestvalit: 26.830037 bestmemit: -8.152696 0.003838 0.000626 0.008289 -2.447416 0.206121 -0.024513 -0.028423 0.366427 0.140306 0.088438 0.518554 0.792816 0.963395 0.735588 0.506961 0.000029 0.000136 0.003147
#> Iteration: 600 bestvalit: 26.827063 bestmemit: -8.113268 0.003762 0.000530 0.008206 -2.446256 0.206282 -0.025729 -0.027519 0.363286 0.139129 0.089055 0.519026 0.791504 0.963756 0.733592 0.508257 0.000033 0.000019 0.003123
#> Iteration: 625 bestvalit: 26.826810 bestmemit: -8.126268 0.003760 0.000554 0.008224 -2.446395 0.206678 -0.026421 -0.027402 0.364355 0.139585 0.089094 0.519404 0.792746 0.964100 0.734514 0.509220 0.000058 0.000002 0.003087
#> Iteration: 650 bestvalit: 26.821729 bestmemit: -8.003780 0.003863 0.000501 0.008263 -2.446815 0.206635 -0.026870 -0.026855 0.357999 0.138133 0.088791 0.521690 0.805158 0.966382 0.738152 0.519619 0.001945 0.000134 0.003325
#> Iteration: 675 bestvalit: 26.818948 bestmemit: -7.857656 0.003895 0.000411 0.008234 -2.446476 0.206610 -0.025870 -0.027884 0.348654 0.137234 0.089110 0.524568 0.797539 0.965614 0.729217 0.522211 0.002346 0.000139 0.003663
#> Iteration: 700 bestvalit: 26.818826 bestmemit: -7.850995 0.003891 0.000431 0.008242 -2.446474 0.206344 -0.025715 -0.027952 0.348078 0.137195 0.089060 0.524992 0.796921 0.965666 0.728870 0.522567 0.002414 0.000120 0.003709
#> Iteration: 725 bestvalit: 26.818704 bestmemit: -7.864262 0.003899 0.000426 0.008244 -2.446407 0.206183 -0.025754 -0.027880 0.349061 0.137302 0.089035 0.524870 0.797602 0.965782 0.729724 0.522505 0.002363 0.000059 0.003680
#> Iteration: 750 bestvalit: 26.818561 bestmemit: -7.854663 0.003905 0.000422 0.008244 -2.446464 0.206283 -0.025713 -0.027932 0.348235 0.137064 0.089066 0.524913 0.797580 0.965624 0.729329 0.522568 0.002345 0.000000 0.003739
#> Iteration: 775 bestvalit: 26.818534 bestmemit: -7.849948 0.003889 0.000425 0.008238 -2.446448 0.206367 -0.025726 -0.027919 0.348088 0.137229 0.089055 0.525142 0.797182 0.965683 0.728972 0.522825 0.002317 0.000000 0.003764
#> Iteration: 800 bestvalit: 26.818511 bestmemit: -7.852816 0.003893 0.000424 0.008237 -2.446401 0.206331 -0.025734 -0.027908 0.348332 0.137304 0.089134 0.524941 0.797134 0.965693 0.728987 0.522616 0.002325 0.000000 0.003722
#> Iteration: 825 bestvalit: 26.818478 bestmemit: -7.855232 0.003889 0.000411 0.008227 -2.446322 0.206366 -0.025776 -0.027835 0.347888 0.136813 0.089167 0.524974 0.797217 0.965766 0.729257 0.522627 0.002347 0.000001 0.003710
#> Iteration: 850 bestvalit: 26.818356 bestmemit: -7.830154 0.003890 0.000396 0.008224 -2.446396 0.206523 -0.025668 -0.027949 0.345832 0.136333 0.089127 0.525844 0.796004 0.965678 0.727919 0.523388 0.002455 0.000000 0.003756
#> Iteration: 875 bestvalit: 26.816195 bestmemit: -7.774891 0.003942 0.000345 0.008263 -2.446368 0.204693 -0.024913 -0.027578 0.338148 0.133490 0.088914 0.530222 0.788503 0.966232 0.725010 0.525421 0.004768 0.000000 0.002146
#> Iteration: 900 bestvalit: 26.815503 bestmemit: -7.835232 0.003971 0.000313 0.008252 -2.446233 0.204497 -0.024680 -0.027594 0.337846 0.131193 0.088768 0.530855 0.789861 0.966893 0.729239 0.525154 0.005657 0.000000 0.001448
#> Iteration: 925 bestvalit: 26.804826 bestmemit: -7.690723 0.004024 0.000172 0.008277 -2.446453 0.205350 -0.024101 -0.029311 0.323776 0.129236 0.088528 0.544223 0.772077 0.970051 0.719572 0.536476 0.007691 0.000002 0.000039
#> Iteration: 950 bestvalit: 26.803573 bestmemit: -7.708538 0.004028 0.000107 0.008272 -2.446765 0.205944 -0.023963 -0.029559 0.320174 0.125942 0.088522 0.545884 0.773138 0.970657 0.722081 0.537889 0.007934 0.000002 0.000001
#> Iteration: 975 bestvalit: 26.803121 bestmemit: -7.676821 0.004020 0.000124 0.008277 -2.446793 0.205782 -0.023927 -0.029455 0.320138 0.127518 0.088905 0.543881 0.773891 0.969986 0.720913 0.536283 0.007485 0.000004 0.000021
#> Iteration: 1000 bestvalit: 26.792931 bestmemit: -7.588818 0.004067 0.000280 0.008254 -2.446993 0.207121 -0.027063 -0.026949 0.325912 0.140783 0.089563 0.527675 0.805564 0.965325 0.735301 0.524396 0.002130 0.000044 0.000025
#> Iteration: 1025 bestvalit: 26.785376 bestmemit: -7.531335 0.004179 0.000323 0.008225 -2.446878 0.207141 -0.026044 -0.027461 0.316737 0.140616 0.089513 0.522367 0.822680 0.964547 0.747578 0.520499 0.000063 0.000070 0.000003
#> Iteration: 1050 bestvalit: 26.781071 bestmemit: -7.508960 0.004166 0.000256 0.008191 -2.446786 0.207279 -0.025663 -0.027410 0.312295 0.138828 0.089605 0.522449 0.825084 0.964554 0.749620 0.520624 0.001689 0.000076 0.000001
#> Iteration: 1075 bestvalit: 26.777624 bestmemit: -7.419228 0.004270 0.000165 0.008216 -2.446954 0.206954 -0.024896 -0.028095 0.301385 0.136043 0.089291 0.526625 0.826047 0.965935 0.751677 0.525085 0.001538 0.000089 0.000005
#> Iteration: 1100 bestvalit: 26.776727 bestmemit: -7.385044 0.004339 0.000190 0.008252 -2.447007 0.206960 -0.025790 -0.027801 0.298342 0.136740 0.089553 0.525551 0.830940 0.965580 0.754329 0.524598 0.000952 0.000101 0.000012
#> Iteration: 1125 bestvalit: 26.769706 bestmemit: -7.416217 0.004234 -0.000056 0.008173 -2.446648 0.207277 -0.026043 -0.027132 0.282521 0.128118 0.090474 0.537306 0.831066 0.967858 0.760377 0.533627 0.003674 0.000137 0.000120
#> Iteration: 1150 bestvalit: 26.464591 bestmemit: -8.652183 0.004267 -0.001747 0.007927 -2.448197 0.225270 -0.036357 -0.029861 0.214095 0.087757 0.105335 0.632952 0.877376 0.999805 0.866113 0.612187 0.020683 0.000560 0.001275
#> Iteration: 1175 bestvalit: 26.282637 bestmemit: -8.868905 0.004274 -0.001379 0.007615 -2.448538 0.232108 -0.048814 -0.016074 0.204898 0.118794 0.110889 0.620167 0.999493 0.999977 0.963078 0.604136 0.015983 0.000921 0.001928
#> Iteration: 1200 bestvalit: 26.251284 bestmemit: -9.074295 0.004368 -0.001264 0.007748 -2.449383 0.233042 -0.048825 -0.019072 0.204155 0.115260 0.109263 0.613593 0.999924 0.999989 0.998630 0.600217 0.013286 0.000940 0.001854
#> Iteration: 1225 bestvalit: 26.246762 bestmemit: -9.046458 0.004421 -0.001278 0.007736 -2.448904 0.232137 -0.048847 -0.019037 0.198269 0.112719 0.110401 0.613290 0.999299 0.999961 0.999941 0.599970 0.013207 0.000946 0.001844
#> Iteration: 1250 bestvalit: 26.245649 bestmemit: -9.012830 0.004447 -0.001236 0.007764 -2.449202 0.231831 -0.049328 -0.018245 0.197837 0.114004 0.110389 0.614070 0.999970 0.999971 0.999983 0.600723 0.013240 0.000951 0.001857
#> Iteration: 1275 bestvalit: 26.244969 bestmemit: -9.030280 0.004393 -0.001283 0.007721 -2.449223 0.233192 -0.050318 -0.017773 0.197917 0.112712 0.110656 0.614506 0.999999 0.999967 0.999973 0.601097 0.013281 0.000948 0.001850
#> Iteration: 1300 bestvalit: 26.243473 bestmemit: -9.027688 0.004397 -0.001295 0.007710 -2.449155 0.233273 -0.050252 -0.017869 0.198231 0.111479 0.110608 0.615057 0.999778 1.000000 0.999873 0.601517 0.013346 0.000935 0.001855
#> Iteration: 1325 bestvalit: 26.243420 bestmemit: -9.020658 0.004386 -0.001295 0.007703 -2.449126 0.233301 -0.050446 -0.017594 0.198143 0.111521 0.110582 0.615223 0.999802 1.000000 0.999944 0.601688 0.013344 0.000935 0.001853
#> Iteration: 1350 bestvalit: 26.243259 bestmemit: -9.017991 0.004395 -0.001295 0.007702 -2.449034 0.233161 -0.050209 -0.017835 0.198189 0.111455 0.110641 0.614983 0.999950 1.000000 0.999961 0.601493 0.013292 0.000933 0.001847
#> Iteration: 1375 bestvalit: 26.243165 bestmemit: -9.015605 0.004387 -0.001301 0.007700 -2.449023 0.233213 -0.050357 -0.017706 0.198261 0.111386 0.110585 0.615211 1.000000 1.000000 0.999995 0.601704 0.013312 0.000932 0.001845
#> Iteration: 1400 bestvalit: 26.243155 bestmemit: -9.018081 0.004389 -0.001299 0.007704 -2.449076 0.233322 -0.050463 -0.017698 0.198463 0.111338 0.110564 0.615287 1.000000 1.000000 1.000000 0.601777 0.013313 0.000931 0.001845
#> Iteration: 1425 bestvalit: 26.243153 bestmemit: -9.018507 0.004391 -0.001296 0.007706 -2.449081 0.233274 -0.050408 -0.017737 0.198505 0.111395 0.110562 0.615265 1.000000 1.000000 1.000000 0.601743 0.013327 0.000931 0.001846
#> Iteration: 1450 bestvalit: 26.243152 bestmemit: -9.018398 0.004391 -0.001295 0.007706 -2.449078 0.233269 -0.050412 -0.017738 0.198507 0.111402 0.110565 0.615280 1.000000 1.000000 1.000000 0.601756 0.013329 0.000931 0.001846
#> ... Finished Calibration.
#> Best solution: 26.2431520723583
#> Best solution was <= reference model calibration solution!
#> ************************************
#> ************************************
#> Calibrating Model: model.3State.gamma.boxcox.AR3.a0std
#> Reference model name for maximum acceptable calib. solution: model.3State.gamma.boxcox.AR2.a0std
#> Reference model maximum acceptable calib. solution: 25.1776991507978
#>
#>
#> ... Doing Calibration Trial 1 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: Inf
#> - total population size: 190
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 114.156098 bestmemit: -3.080262 0.057216 0.050485 0.045518 -2.998685 0.029709 -0.362535 0.256686 0.131381 0.312299 0.586260 0.672519 0.459731 0.878232 0.487939 0.130944 0.249624 0.095407 0.641600
#> Iteration: 50 bestvalit: 41.976472 bestmemit: -3.218293 0.034348 0.007832 0.001675 -2.439576 0.239214 -0.206810 0.122119 0.405297 0.164627 0.476860 0.401121 0.938955 0.886928 0.425069 0.030559 0.064274 0.677250 0.821483
#> Iteration: 75 bestvalit: 33.980874 bestmemit: -3.149027 -0.000756 0.003488 -0.003316 -2.401659 0.269246 -0.117393 0.023574 0.298649 0.139525 0.496297 0.282463 0.986674 0.866953 0.357234 0.030885 0.048234 0.519205 0.852313
#> Iteration: 100 bestvalit: 27.237671 bestmemit: -3.435993 0.004865 0.007502 0.001224 -2.446148 0.212031 -0.025361 -0.018370 0.214102 0.091411 0.285310 0.181810 0.951604 0.859319 0.241139 0.010440 0.097175 0.063185 0.870998
#> Iteration: 125 bestvalit: 26.924455 bestmemit: -3.588258 0.007270 0.007876 0.001330 -2.447828 0.213180 -0.024582 -0.024748 0.178090 0.085752 0.240641 0.172296 0.956547 0.852355 0.231815 0.000087 0.107596 0.030871 0.875843
#> Iteration: 150 bestvalit: 26.853801 bestmemit: -4.158885 0.006422 0.007960 0.001476 -2.448377 0.216470 -0.028700 -0.025285 0.208636 0.087400 0.258719 0.218297 0.961504 0.859959 0.216212 0.000122 0.140254 0.003400 0.888057
#> Iteration: 175 bestvalit: 26.661478 bestmemit: -5.613664 0.006868 0.008072 0.000786 -2.448046 0.208312 -0.022169 -0.026862 0.157089 0.091949 0.192644 0.299306 0.963808 0.876981 0.120128 0.000241 0.242324 0.002787 0.895954
#> Iteration: 200 bestvalit: 26.611966 bestmemit: -5.513839 0.006974 0.008062 0.000778 -2.448321 0.212051 -0.025125 -0.026827 0.131682 0.087930 0.183419 0.280800 0.963999 0.870001 0.124408 0.000152 0.234361 0.000216 0.897060
#> Iteration: 225 bestvalit: 26.602046 bestmemit: -5.403812 0.007195 0.008012 0.000770 -2.448454 0.213012 -0.025665 -0.026109 0.111618 0.088349 0.184480 0.273684 0.963425 0.865981 0.135600 0.000336 0.225265 0.000116 0.896874
#> Iteration: 250 bestvalit: 26.600063 bestmemit: -5.391293 0.007259 0.008032 0.000795 -2.448582 0.212572 -0.025334 -0.026277 0.109913 0.088209 0.183265 0.277819 0.963472 0.864596 0.145637 0.000665 0.221096 0.000013 0.899185
#> Iteration: 275 bestvalit: 26.598309 bestmemit: -5.616960 0.007168 0.008039 0.000749 -2.448575 0.212603 -0.025023 -0.026727 0.111352 0.088215 0.181260 0.300581 0.963895 0.865338 0.152131 0.001131 0.229578 0.000077 0.906799
#> Iteration: 300 bestvalit: 26.597259 bestmemit: -5.615377 0.007166 0.008006 0.000723 -2.448363 0.212452 -0.024516 -0.026703 0.110461 0.088224 0.179648 0.302172 0.964050 0.865678 0.154588 0.001644 0.227258 0.000000 0.907452
#> Iteration: 325 bestvalit: 26.594901 bestmemit: -5.728417 0.007159 0.008003 0.000704 -2.448058 0.212380 -0.025481 -0.026098 0.111612 0.087779 0.179314 0.310739 0.966170 0.867649 0.150838 0.002971 0.231512 0.000003 0.910230
#> Iteration: 350 bestvalit: 26.573072 bestmemit: -5.478548 0.007855 0.008061 0.001000 -2.444869 0.205983 -0.023294 -0.027823 0.068955 0.088345 0.201628 0.299159 0.977229 0.872066 0.158448 0.015067 0.194510 0.000011 0.910235
#> Iteration: 375 bestvalit: 26.357564 bestmemit: -7.794942 0.007146 0.007705 0.000973 -2.443634 0.216941 -0.031219 -0.024817 0.050680 0.091396 0.212057 0.524897 0.998984 0.901942 0.201080 0.041565 0.239143 0.000003 0.992676
#> Iteration: 400 bestvalit: 26.267441 bestmemit: -8.668913 0.006624 0.007220 0.000678 -2.441025 0.222848 -0.030455 -0.024496 0.050259 0.094467 0.203547 0.629215 0.999577 0.914561 0.251387 0.053232 0.236281 0.000061 0.999902
#> Iteration: 425 bestvalit: 25.739891 bestmemit: -9.143742 0.005948 0.007244 0.000885 -2.439767 0.219252 -0.022503 -0.022014 0.051169 0.098735 0.233886 0.784245 0.999831 0.932675 0.447824 0.089691 0.123196 0.003671 0.927637
#> Iteration: 450 bestvalit: 25.409989 bestmemit: -9.623683 0.006367 0.007834 0.001541 -2.446135 0.215177 -0.021566 -0.016367 0.051629 0.106814 0.291194 0.819025 0.999926 0.957906 0.416589 0.103904 0.132868 0.007132 0.843048
#> Iteration: 475 bestvalit: 25.253312 bestmemit: -8.664723 0.006245 0.007693 0.001336 -2.451813 0.225873 -0.020253 -0.016879 0.050096 0.109599 0.281171 0.832163 0.999988 0.967349 0.426654 0.112573 0.115207 0.000090 0.776706
#> Iteration: 500 bestvalit: 25.249550 bestmemit: -9.813890 0.006386 0.007813 0.001450 -2.452940 0.225975 -0.020768 -0.017314 0.050005 0.110384 0.280297 0.832293 0.999980 0.968661 0.424690 0.113748 0.113893 0.000036 0.769584
#> Iteration: 525 bestvalit: 25.239240 bestmemit: -9.056039 0.006210 0.007606 0.001180 -2.452812 0.229168 -0.018841 -0.017654 0.050040 0.118045 0.273520 0.849638 0.999996 0.982821 0.391444 0.115491 0.129845 0.000213 0.770637
#> Iteration: 550 bestvalit: 25.194032 bestmemit: -7.765310 0.005935 0.007371 0.000824 -2.453281 0.237702 -0.019076 -0.017748 0.050333 0.126078 0.274968 0.862024 0.999994 0.999237 0.359643 0.119995 0.135858 0.000010 0.804508
#> Iteration: 575 bestvalit: 25.018090 bestmemit: -4.997612 0.006422 0.007914 0.001433 -2.453124 0.225812 -0.023886 -0.014379 0.050819 0.112501 0.269104 0.835601 0.999994 0.982701 0.458724 0.106138 0.103433 0.000414 0.977255
#> Iteration: 600 bestvalit: 24.914093 bestmemit: -5.405158 0.006347 0.007778 0.001209 -2.454480 0.232438 -0.023484 -0.016179 0.051011 0.112071 0.275486 0.850376 0.999989 0.999599 0.430459 0.104724 0.135716 0.000701 0.999992
#> Iteration: 625 bestvalit: 24.898859 bestmemit: -7.791623 0.006494 0.007900 0.001426 -2.456148 0.230622 -0.021758 -0.016695 0.050924 0.112471 0.276679 0.847897 1.000000 0.999986 0.429579 0.105827 0.134070 0.000668 0.999528
#> Iteration: 650 bestvalit: 24.894263 bestmemit: -6.710837 0.006386 0.007766 0.001290 -2.455891 0.231592 -0.019356 -0.018135 0.050715 0.112759 0.274650 0.848509 0.999997 0.999997 0.425553 0.106579 0.135787 0.000638 0.999925
#> Iteration: 675 bestvalit: 24.877815 bestmemit: -8.186323 0.006426 0.007819 0.001297 -2.455484 0.230271 -0.018885 -0.019345 0.050033 0.116503 0.278515 0.846577 0.999983 0.999807 0.418033 0.105306 0.140666 0.000255 0.999056
#> Iteration: 700 bestvalit: 24.864443 bestmemit: -9.449834 0.006620 0.008029 0.001490 -2.456812 0.228531 -0.019918 -0.018835 0.050008 0.112991 0.282898 0.845635 0.999980 0.999997 0.441909 0.105756 0.131049 0.000063 0.999954
#> Iteration: 725 bestvalit: 24.860742 bestmemit: -9.221602 0.006552 0.007951 0.001440 -2.456159 0.228416 -0.020232 -0.018206 0.050001 0.112011 0.285086 0.838984 0.999978 0.999988 0.438476 0.103548 0.135278 0.000008 0.999985
#> Iteration: 750 bestvalit: 24.857181 bestmemit: -7.245035 0.006569 0.007960 0.001455 -2.456264 0.228638 -0.020443 -0.018512 0.050001 0.111546 0.282382 0.835669 0.999976 0.999990 0.450011 0.102074 0.130216 0.000002 0.999980
#> Iteration: 775 bestvalit: 24.855509 bestmemit: -8.626881 0.006637 0.008029 0.001542 -2.456948 0.228120 -0.020662 -0.018177 0.050000 0.111298 0.284652 0.833599 0.999976 0.999978 0.457509 0.100385 0.129528 0.000003 0.999996
#> Iteration: 800 bestvalit: 24.855389 bestmemit: -9.045711 0.006633 0.008025 0.001542 -2.456978 0.228175 -0.020429 -0.018310 0.050000 0.111477 0.284848 0.833580 0.999976 0.999984 0.456807 0.100360 0.129878 0.000000 1.000000
#> Iteration: 825 bestvalit: 24.855316 bestmemit: -8.692766 0.006636 0.008030 0.001542 -2.456930 0.227783 -0.020119 -0.018363 0.050000 0.111433 0.284492 0.833054 0.999977 0.999993 0.455744 0.100384 0.130137 0.000000 0.999997
#> Iteration: 850 bestvalit: 24.855218 bestmemit: -8.355885 0.006645 0.008033 0.001555 -2.456912 0.227695 -0.020184 -0.018388 0.050000 0.111304 0.284866 0.832783 0.999977 1.000000 0.457032 0.100232 0.129725 0.000000 0.999993
#> Iteration: 875 bestvalit: 24.855147 bestmemit: -8.306355 0.006646 0.008033 0.001553 -2.456961 0.227781 -0.020318 -0.018308 0.050000 0.111353 0.284395 0.832978 0.999978 0.999999 0.457145 0.100404 0.129248 0.000000 0.999981
#> Iteration: 900 bestvalit: 24.854950 bestmemit: -8.697452 0.006654 0.008033 0.001557 -2.456986 0.227682 -0.020162 -0.018493 0.050000 0.111523 0.284466 0.831827 0.999981 0.999993 0.459382 0.099477 0.129086 0.000000 0.999921
#> Iteration: 925 bestvalit: 24.854379 bestmemit: -8.821781 0.006692 0.008052 0.001577 -2.457149 0.227421 -0.019696 -0.019057 0.050000 0.112359 0.284800 0.833002 0.999991 0.999989 0.455888 0.099964 0.129744 0.000000 0.999800
#> Iteration: 950 bestvalit: 24.854323 bestmemit: -8.271603 0.006695 0.008059 0.001587 -2.457195 0.227301 -0.019705 -0.018958 0.050001 0.112307 0.285453 0.833249 0.999992 0.999993 0.456850 0.100087 0.129150 0.000000 0.999773
#> Iteration: 975 bestvalit: 24.854257 bestmemit: -8.557128 0.006690 0.008055 0.001584 -2.457161 0.227254 -0.019492 -0.019119 0.050002 0.112271 0.286009 0.832863 0.999995 1.000000 0.456529 0.100016 0.129326 0.000000 0.999705
#> Iteration: 1000 bestvalit: 24.854245 bestmemit: -9.482606 0.006690 0.008056 0.001582 -2.457102 0.227180 -0.019479 -0.019152 0.050002 0.112214 0.286094 0.832721 0.999996 1.000000 0.456152 0.100106 0.129275 0.000000 0.999690
#> Iteration: 1025 bestvalit: 24.854234 bestmemit: -8.108881 0.006685 0.008049 0.001578 -2.457100 0.227313 -0.019495 -0.019138 0.050003 0.112270 0.286131 0.833055 0.999995 1.000000 0.456229 0.100210 0.129124 0.000000 0.999729
#> Iteration: 1050 bestvalit: 24.854111 bestmemit: -7.568073 0.006686 0.008050 0.001577 -2.457131 0.227291 -0.019388 -0.019200 0.050006 0.112285 0.285906 0.833045 0.999994 1.000000 0.455185 0.100480 0.129140 0.000000 0.999982
#> Iteration: 1075 bestvalit: 24.854045 bestmemit: -9.270886 0.006689 0.008053 0.001578 -2.457075 0.227070 -0.019325 -0.019220 0.050008 0.112288 0.286445 0.832638 0.999995 1.000000 0.456059 0.100074 0.129230 0.000000 1.000000
#> Iteration: 1100 bestvalit: 24.854040 bestmemit: -8.017699 0.006691 0.008057 0.001582 -2.457085 0.227068 -0.019368 -0.019218 0.050008 0.112234 0.286425 0.832662 0.999995 1.000000 0.456389 0.100082 0.129113 0.000000 1.000000
#> Iteration: 1125 bestvalit: 24.854039 bestmemit: -8.005782 0.006692 0.008057 0.001583 -2.457083 0.227047 -0.019371 -0.019219 0.050008 0.112219 0.286436 0.832616 0.999995 1.000000 0.456389 0.100073 0.129124 0.000000 1.000000
#> ... Finished Calibration.
#> Best solution: 24.8540393129857
#>
#> ... Doing Calibration Trial 2 using DEstrategy: 3
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 24.8540393129857
#> - total population size: 190
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 3
#> Iteration: 25 bestvalit: 112.728363 bestmemit: -6.236158 0.124983 0.029090 -0.168778 -2.505424 -0.463315 0.119390 -0.056885 0.538861 0.585562 0.260549 0.939128 0.997372 0.860612 0.866539 0.041751 0.343619 0.667442 0.198928
#> Iteration: 50 bestvalit: 46.388471 bestmemit: -8.717001 0.013804 0.198704 0.010725 -2.512045 0.176228 -0.024537 -0.053036 0.233170 0.476866 0.366509 0.950375 0.366138 0.731322 0.139146 0.271433 0.291980 0.952166 0.260105
#> Iteration: 75 bestvalit: 33.472703 bestmemit: -5.569718 0.009604 0.231270 0.005233 -2.458232 0.202234 -0.038914 -0.021874 0.118385 0.451258 0.494559 0.941632 0.199478 0.869121 0.020711 0.412621 0.332370 0.886872 0.137521
#> Iteration: 100 bestvalit: 28.933943 bestmemit: -6.851310 0.006825 0.359147 0.000624 -2.436411 0.207941 -0.007443 -0.029284 0.081581 0.503475 0.302311 0.915143 0.194574 0.982056 0.041668 0.428695 0.292118 0.966760 0.228347
#> Iteration: 125 bestvalit: 27.701497 bestmemit: -8.730478 0.007872 0.384878 0.001575 -2.449700 0.220501 -0.031548 -0.023119 0.085216 0.482815 0.241312 0.930605 0.274762 0.999829 0.005385 0.420255 0.252659 0.993113 0.349111
#> Iteration: 150 bestvalit: 27.577232 bestmemit: -6.747558 0.007863 0.479045 0.001821 -2.451798 0.233132 -0.042364 -0.021167 0.092128 0.443837 0.264287 0.934453 0.321529 0.999998 0.000146 0.416308 0.222628 0.999368 0.247360
#> Iteration: 175 bestvalit: 27.358196 bestmemit: -4.442161 0.007707 0.006978 0.001810 -2.451511 0.233145 -0.041476 -0.018149 0.089075 0.432262 0.263023 0.924164 0.348690 0.999933 0.000483 0.401225 0.194837 0.713618 0.638771
#> Iteration: 200 bestvalit: 27.213289 bestmemit: -6.005231 0.007788 0.012124 0.001815 -2.450562 0.231629 -0.041403 -0.020105 0.090965 0.435281 0.257071 0.927790 0.342990 0.999905 0.000744 0.401793 0.201086 0.856568 0.841025
#> Iteration: 225 bestvalit: 27.148738 bestmemit: -5.652112 0.007745 0.012722 0.001935 -2.453147 0.236238 -0.044865 -0.017101 0.091596 0.413429 0.253534 0.934298 0.353552 0.999933 0.002720 0.407750 0.194190 0.898291 0.997630
#> Iteration: 250 bestvalit: 27.109603 bestmemit: -9.396774 0.007477 0.011789 0.001701 -2.452939 0.241888 -0.047434 -0.014494 0.090812 0.383449 0.247441 0.936805 0.346126 0.999853 0.006853 0.410857 0.174508 0.910728 0.967488
#> Iteration: 275 bestvalit: 26.908373 bestmemit: -6.775199 0.007324 0.012271 0.001628 -2.450900 0.235487 -0.042291 -0.013331 0.091037 0.255827 0.269970 0.946974 0.038822 0.999003 0.043724 0.490233 0.142482 0.879317 0.425035
#> Iteration: 300 bestvalit: 26.589455 bestmemit: -6.740106 0.007718 0.012242 0.001933 -2.449209 0.214940 -0.019243 -0.028586 0.087030 0.092748 0.282720 0.947784 0.061097 0.996754 0.102281 0.642064 0.115209 0.876853 0.520359
#> Iteration: 325 bestvalit: 26.394605 bestmemit: -5.356599 0.007760 0.011573 0.002051 -2.443647 0.207721 -0.023758 -0.025664 0.086443 0.058240 0.310972 0.957072 0.892310 0.995206 0.144468 0.747902 0.095975 0.880921 0.814803
#> Iteration: 350 bestvalit: 26.347762 bestmemit: -8.294642 0.008113 0.011780 0.002445 -2.447484 0.207288 -0.026161 -0.023923 0.086552 0.050332 0.307633 0.954968 0.998359 0.995301 0.139283 0.730766 0.092703 0.885351 0.946611
#> Iteration: 375 bestvalit: 26.341076 bestmemit: -6.318309 0.008128 0.011776 0.002428 -2.447360 0.206769 -0.026769 -0.023356 0.086149 0.050033 0.311036 0.954275 0.998895 0.995210 0.141484 0.737011 0.091737 0.889252 0.995040
#> Iteration: 400 bestvalit: 26.334901 bestmemit: -7.023489 0.008083 0.011779 0.002372 -2.447214 0.206741 -0.025423 -0.023954 0.085568 0.050020 0.309269 0.956420 0.999550 0.995063 0.144379 0.746112 0.093989 0.894190 0.999389
#> Iteration: 425 bestvalit: 26.334033 bestmemit: -9.474783 0.008085 0.011783 0.002372 -2.447320 0.205781 -0.024370 -0.024019 0.085368 0.050005 0.309204 0.956150 0.999942 0.995041 0.145005 0.748064 0.094526 0.894997 0.999952
#> Iteration: 450 bestvalit: 26.333734 bestmemit: -9.812011 0.008078 0.011776 0.002369 -2.447151 0.205524 -0.024404 -0.023833 0.085325 0.050001 0.309401 0.956312 0.999887 0.995021 0.145669 0.749549 0.094205 0.894894 0.999974
#> Iteration: 475 bestvalit: 26.333064 bestmemit: -8.325600 0.008058 0.011733 0.002327 -2.446916 0.205331 -0.024708 -0.023362 0.085318 0.050010 0.308681 0.956158 0.999538 0.995084 0.145109 0.747174 0.094046 0.893669 0.999969
#> Iteration: 500 bestvalit: 26.332090 bestmemit: -8.046016 0.008040 0.011718 0.002320 -2.447176 0.206024 -0.025156 -0.022745 0.085705 0.050096 0.306873 0.956832 0.999987 0.995174 0.143952 0.742303 0.092201 0.893818 0.999815
#> Iteration: 525 bestvalit: 26.331986 bestmemit: -8.205440 0.008057 0.011713 0.002326 -2.447173 0.205640 -0.024965 -0.022900 0.085712 0.050146 0.306407 0.956805 0.999970 0.995178 0.143976 0.742028 0.092562 0.892253 0.999802
#> Iteration: 550 bestvalit: 26.331500 bestmemit: -7.789699 0.008043 0.011684 0.002315 -2.447157 0.205800 -0.024726 -0.023008 0.085962 0.050439 0.306585 0.956828 0.999794 0.995253 0.143634 0.740654 0.091867 0.891246 0.999971
#> Iteration: 575 bestvalit: 26.328077 bestmemit: -9.426255 0.007967 0.011430 0.002262 -2.447128 0.206969 -0.024173 -0.023282 0.085418 0.054482 0.309985 0.956792 0.986992 0.995975 0.142202 0.737339 0.091290 0.885242 0.999271
#> Iteration: 600 bestvalit: 26.327621 bestmemit: -9.234494 0.007947 0.011387 0.002254 -2.447133 0.207607 -0.024509 -0.023165 0.085388 0.054895 0.307662 0.956956 0.986314 0.996117 0.140252 0.731866 0.091746 0.884482 0.998831
#> Iteration: 625 bestvalit: 26.327412 bestmemit: -8.029045 0.007977 0.011405 0.002278 -2.447210 0.207224 -0.024607 -0.023177 0.085555 0.054173 0.307645 0.956821 0.991401 0.996107 0.139862 0.729945 0.092039 0.882158 0.996677
#> Iteration: 650 bestvalit: 26.327366 bestmemit: -8.201520 0.007983 0.011400 0.002281 -2.447151 0.207012 -0.024602 -0.023183 0.085523 0.053979 0.307519 0.956744 0.992979 0.996114 0.139744 0.729397 0.092369 0.881199 0.995972
#> Iteration: 675 bestvalit: 26.326999 bestmemit: -8.184667 0.007981 0.011368 0.002279 -2.447117 0.206910 -0.024413 -0.023320 0.085622 0.053523 0.307051 0.956358 0.999348 0.996238 0.138370 0.725187 0.092785 0.878673 0.994791
#> Iteration: 700 bestvalit: 26.325623 bestmemit: -7.945714 0.007981 0.011321 0.002282 -2.447246 0.207421 -0.024787 -0.023154 0.085475 0.054078 0.307885 0.956766 0.999727 0.996422 0.138210 0.724323 0.092108 0.876945 0.999939
#> Iteration: 725 bestvalit: 26.325459 bestmemit: -7.761874 0.007969 0.011308 0.002272 -2.447183 0.207228 -0.024462 -0.023212 0.085490 0.054102 0.308232 0.956746 0.999983 0.996441 0.138292 0.725031 0.092570 0.877007 0.999994
#> Iteration: 750 bestvalit: 26.325439 bestmemit: -8.062901 0.007970 0.011310 0.002274 -2.447184 0.207314 -0.024634 -0.023144 0.085463 0.054072 0.307763 0.956738 0.999998 0.996440 0.138065 0.724302 0.092522 0.877095 0.999999
#> Iteration: 775 bestvalit: 26.325376 bestmemit: -9.817124 0.007965 0.011307 0.002270 -2.447144 0.207191 -0.024543 -0.023079 0.085521 0.053826 0.307606 0.956778 0.999991 0.996444 0.138119 0.724149 0.092175 0.876917 0.999997
#> Iteration: 800 bestvalit: 26.325154 bestmemit: -9.165321 0.008000 0.011336 0.002298 -2.447188 0.206808 -0.024696 -0.023192 0.085595 0.052014 0.307554 0.956685 0.999861 0.996431 0.137837 0.722952 0.092312 0.874636 0.999955
#> Iteration: 825 bestvalit: 26.325084 bestmemit: -8.217268 0.007991 0.011328 0.002289 -2.447106 0.206748 -0.024558 -0.023249 0.085511 0.052134 0.307578 0.956540 1.000000 0.996434 0.137932 0.723406 0.092345 0.874935 0.999900
#> Iteration: 850 bestvalit: 26.324225 bestmemit: -9.331225 0.008002 0.011357 0.002315 -2.447302 0.206909 -0.024644 -0.023244 0.085112 0.050461 0.308574 0.956693 0.999995 0.996455 0.138189 0.725173 0.092136 0.875901 0.998987
#> Iteration: 875 bestvalit: 26.324037 bestmemit: -9.111565 0.007982 0.011351 0.002293 -2.447207 0.207109 -0.024603 -0.023210 0.085149 0.050018 0.308855 0.956822 0.999997 0.996460 0.138414 0.725737 0.091430 0.876592 0.998742
#> Iteration: 900 bestvalit: 26.323998 bestmemit: -8.976995 0.007981 0.011351 0.002287 -2.447192 0.207055 -0.024521 -0.023235 0.085171 0.050002 0.308484 0.956730 0.999984 0.996453 0.138037 0.724852 0.092006 0.876637 0.998742
#> Iteration: 925 bestvalit: 26.323995 bestmemit: -9.035024 0.007982 0.011352 0.002289 -2.447189 0.207010 -0.024514 -0.023238 0.085195 0.050000 0.308483 0.956741 0.999982 0.996448 0.138102 0.724951 0.091945 0.876516 0.998753
#> Iteration: 950 bestvalit: 26.323994 bestmemit: -8.003145 0.007983 0.011353 0.002289 -2.447194 0.207000 -0.024481 -0.023269 0.085199 0.050000 0.308512 0.956742 0.999981 0.996448 0.138130 0.725047 0.091957 0.876487 0.998769
#> ... Finished Calibration.
#> Best solution: 26.3239938534255
#>
#> ... Doing Calibration Trial 3 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 24.8540393129857
#> - total population size: 190
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 104.140528 bestmemit: -3.787388 0.026874 0.130217 0.079281 -2.716943 0.234996 -0.119819 -0.132428 0.335267 0.231365 0.432644 0.697838 0.931467 0.918244 0.830412 0.301374 0.111107 0.305732 0.632482
#> Iteration: 50 bestvalit: 86.246960 bestmemit: -5.079201 0.006111 0.102218 0.238417 -2.514981 0.316999 -0.391623 0.304911 0.305278 0.413856 0.711183 0.825300 0.705724 0.757145 0.622093 0.401903 0.189756 0.157744 0.833467
#> Iteration: 75 bestvalit: 76.110690 bestmemit: -3.981463 0.328954 0.044483 0.029583 -2.779561 0.013505 -0.174212 -0.116133 0.204780 0.451962 0.657354 0.771540 0.945445 0.718367 0.280583 0.081089 0.268601 0.166497 0.513706
#> Iteration: 100 bestvalit: 68.167682 bestmemit: -5.866336 0.043541 0.057544 0.034396 -2.734606 -0.109300 -0.048256 -0.047770 0.090106 0.461097 0.604070 0.756361 0.992731 0.726968 0.121102 0.156332 0.216533 0.551568 0.594937
#> Iteration: 125 bestvalit: 59.347118 bestmemit: -4.571221 0.036055 0.027896 -0.009164 -2.637280 0.165271 -0.289717 -0.030530 0.249350 0.450192 0.112190 0.893040 0.754904 0.669579 0.551930 0.150377 0.167522 0.435184 0.281679
#> Iteration: 150 bestvalit: 57.959778 bestmemit: -4.357609 0.019629 0.025205 -0.013041 -2.492851 0.004255 0.051328 -0.160746 0.302223 0.339984 0.256941 0.690556 0.952084 0.787598 0.519191 0.012575 0.308702 0.890549 0.470279
#> Iteration: 175 bestvalit: 55.925438 bestmemit: -5.492383 0.007234 0.012202 0.016750 -2.516422 0.130839 -0.072717 0.101139 0.492396 0.499434 0.331076 0.420150 0.865446 0.695066 0.565099 0.082353 0.208511 0.668104 0.751000
#> Iteration: 200 bestvalit: 46.630536 bestmemit: -3.945121 0.352454 0.014918 0.010669 -2.506922 0.106755 0.033751 -0.041258 0.349223 0.173099 0.341530 0.770191 0.914873 0.996915 0.788081 0.073346 0.186827 0.240270 0.627408
#> Iteration: 225 bestvalit: 33.114074 bestmemit: -3.323304 0.004296 0.007699 0.000089 -2.427842 0.192917 0.012611 -0.066471 0.191361 0.146352 0.351319 0.671553 0.923524 0.949300 0.771652 0.007252 0.502585 0.234053 0.974592
#> Iteration: 250 bestvalit: 33.114074 bestmemit: -3.323304 0.004296 0.007699 0.000089 -2.427842 0.192917 0.012611 -0.066471 0.191361 0.146352 0.351319 0.671553 0.923524 0.949300 0.771652 0.007252 0.502585 0.234053 0.974592
#> Iteration: 275 bestvalit: 30.115380 bestmemit: -4.167428 0.004112 0.007982 0.001260 -2.427214 0.196446 -0.035383 -0.039248 0.501807 0.093881 0.209824 0.755605 0.955460 0.833403 0.657887 0.022974 0.569627 0.749750 0.878645
#> Iteration: 300 bestvalit: 28.620048 bestmemit: -4.444698 0.000864 0.006142 -0.000355 -2.434784 0.241320 -0.032895 -0.033047 0.401169 0.078783 0.070517 0.768648 0.944969 0.720680 0.802563 0.029155 0.629598 0.649269 0.434464
#> Iteration: 325 bestvalit: 26.990958 bestmemit: -6.413429 0.001941 0.008537 0.001726 -2.448692 0.199185 -0.022337 -0.028309 0.305269 0.084230 0.075035 0.846542 0.966979 0.321283 0.784075 0.016628 0.646396 0.264241 0.896069
#> Iteration: 350 bestvalit: 25.702171 bestmemit: -6.451784 0.002133 0.007882 0.001759 -2.451434 0.219518 -0.038182 -0.012939 0.333974 0.098377 0.061607 0.981336 0.958947 0.149604 0.694631 0.000617 0.598751 0.003154 0.993143
#> Iteration: 375 bestvalit: 25.244166 bestmemit: -7.985423 0.001713 0.007424 0.001669 -2.443168 0.219139 -0.027702 -0.026737 0.320678 0.085813 0.080172 0.997694 0.950122 0.121389 0.523318 0.001315 0.359599 0.024003 0.944419
#> Iteration: 400 bestvalit: 25.009338 bestmemit: -9.658126 0.001674 0.007479 0.001642 -2.446636 0.221299 -0.024146 -0.026520 0.319939 0.084035 0.075639 0.998786 0.950764 0.090042 0.533190 0.000101 0.266372 0.021407 0.991471
#> Iteration: 425 bestvalit: 24.973949 bestmemit: -9.338070 0.001845 0.007619 0.001495 -2.447419 0.221085 -0.026371 -0.025682 0.322659 0.083559 0.071053 0.998706 0.954696 0.071871 0.653621 0.000084 0.282054 0.003235 0.999843
#> Iteration: 450 bestvalit: 24.963204 bestmemit: -8.929737 0.001926 0.007714 0.001589 -2.448070 0.219305 -0.024823 -0.026554 0.319666 0.084515 0.078624 0.999918 0.955937 0.065351 0.615812 0.000025 0.292764 0.002757 0.998323
#> Iteration: 475 bestvalit: 24.954953 bestmemit: -8.475593 0.001926 0.007688 0.001571 -2.447836 0.219260 -0.024355 -0.026981 0.322797 0.085346 0.074231 0.999956 0.955215 0.064325 0.650953 0.000039 0.292473 0.000140 0.999974
#> Iteration: 500 bestvalit: 24.952487 bestmemit: -8.290066 0.001913 0.007709 0.001604 -2.448012 0.219541 -0.025211 -0.026585 0.319393 0.084918 0.074456 0.999996 0.954743 0.064775 0.678966 0.000005 0.287396 0.000143 0.999874
#> Iteration: 525 bestvalit: 24.951356 bestmemit: -9.365596 0.001896 0.007690 0.001610 -2.448023 0.219538 -0.024513 -0.026894 0.318898 0.084524 0.073059 0.999979 0.954161 0.063483 0.774001 0.000004 0.277652 0.000048 0.999863
#> Iteration: 550 bestvalit: 24.950862 bestmemit: -6.970015 0.001896 0.007681 0.001603 -2.447886 0.219515 -0.024297 -0.027142 0.317381 0.084620 0.072689 1.000000 0.954093 0.063944 0.876102 0.000000 0.280673 0.000023 0.999963
#> Iteration: 575 bestvalit: 24.950744 bestmemit: -7.858296 0.001894 0.007684 0.001617 -2.447865 0.219624 -0.024380 -0.027231 0.318141 0.084699 0.073240 0.999999 0.953921 0.064097 0.888408 0.000000 0.280117 0.000016 0.999975
#> Iteration: 600 bestvalit: 24.950695 bestmemit: -8.743536 0.001889 0.007684 0.001619 -2.447848 0.219480 -0.024194 -0.027290 0.318294 0.084624 0.073481 0.999999 0.953918 0.064027 0.914738 0.000000 0.280237 0.000003 0.999996
#> Iteration: 625 bestvalit: 24.950667 bestmemit: -8.480416 0.001882 0.007671 0.001607 -2.447763 0.219592 -0.024274 -0.027222 0.318293 0.084673 0.073400 1.000000 0.953876 0.064030 0.887933 0.000000 0.279534 0.000007 0.999998
#> Iteration: 650 bestvalit: 24.950652 bestmemit: -8.570225 0.001883 0.007672 0.001607 -2.447780 0.219558 -0.024200 -0.027245 0.318273 0.084691 0.073431 1.000000 0.953898 0.063997 0.887575 0.000000 0.279614 0.000001 0.999999
#> Iteration: 675 bestvalit: 24.950647 bestmemit: -9.368849 0.001884 0.007673 0.001608 -2.447766 0.219523 -0.024178 -0.027279 0.318171 0.084673 0.073526 1.000000 0.953855 0.064043 0.834623 0.000000 0.279452 0.000000 0.999999
#> Iteration: 700 bestvalit: 24.950645 bestmemit: -9.351635 0.001884 0.007672 0.001605 -2.447765 0.219530 -0.024174 -0.027261 0.318238 0.084673 0.073418 1.000000 0.953891 0.063998 0.842750 0.000000 0.279528 0.000000 1.000000
#> Iteration: 725 bestvalit: 24.950645 bestmemit: -9.527848 0.001884 0.007672 0.001604 -2.447767 0.219543 -0.024193 -0.027263 0.318242 0.084685 0.073384 1.000000 0.953902 0.063995 0.815584 0.000000 0.279661 0.000000 1.000000
#> ... Finished Calibration.
#> Best solution: 24.9506447402553
#>
#> ... Doing Calibration Trial 4 using DEstrategy: 2
#> ... Starting calibration using the following settings:
#> - Initial parameter set neg. log liklihood: 24.8540393129857
#> - total population size: 190
#> - relative tolerance: 1e-08
#> - iterations required that meet the tolerance: 50
#> - maximum iterations allowed: 10000
#> - DEoptim strategy type: 2
#> Iteration: 25 bestvalit: 90.260647 bestmemit: -4.191747 0.068224 0.048425 -0.232105 -3.476108 0.026614 -0.053392 -0.399684 0.486002 0.694785 0.634096 0.982919 0.779368 0.593390 0.329673 0.262056 0.054878 0.268714 0.680710
#> Iteration: 50 bestvalit: 67.696149 bestmemit: -6.672036 0.028867 0.294972 -0.449762 -2.634857 0.146405 -0.191712 -0.023170 0.582384 0.249722 0.694893 0.942201 0.790361 0.578469 0.582627 0.103338 0.124681 0.258525 0.678112
#> Iteration: 75 bestvalit: 59.015603 bestmemit: -7.653695 0.005539 -0.259448 -0.335324 -2.476278 0.241492 -0.215292 0.215178 0.514414 0.409661 0.275961 0.966192 0.775709 0.567868 0.225181 0.426557 0.388245 0.574314 0.139856
#> Iteration: 100 bestvalit: 47.244414 bestmemit: -7.075575 0.004245 -0.099917 -0.142442 -2.439214 0.262479 -0.015043 -0.060918 0.350411 0.676801 0.446530 0.998290 0.674510 0.784277 0.271137 0.455350 0.234184 0.547883 0.705876
#> Iteration: 125 bestvalit: 34.752856 bestmemit: -4.528532 0.009714 0.316587 0.004564 -2.450620 0.261949 -0.176579 0.035056 0.156542 0.400113 0.483580 0.992126 0.654272 0.945090 0.509279 0.450105 0.041535 0.888645 0.754626
#> Iteration: 150 bestvalit: 33.721671 bestmemit: -5.136377 0.005267 0.379672 0.000061 -2.422236 0.239184 -0.102111 0.026047 0.114033 0.488849 0.301044 0.997123 0.715192 0.940894 0.764122 0.465539 0.101478 0.962755 0.810526
#> Iteration: 175 bestvalit: 30.536123 bestmemit: -7.869005 0.007569 0.003142 0.001628 -2.431920 0.168192 -0.011843 -0.025943 0.089757 0.516399 0.338921 0.991972 0.663086 0.939890 0.426611 0.441729 0.009268 0.559671 0.737195
#> Iteration: 200 bestvalit: 27.217039 bestmemit: -6.116734 0.009097 0.008603 0.003759 -2.459155 0.232080 -0.053413 -0.024611 0.093313 0.376718 0.265462 0.964070 0.896035 0.989649 0.288357 0.479257 0.037940 0.542815 0.476892
#> Iteration: 225 bestvalit: 26.620491 bestmemit: -4.855046 0.008318 0.004296 0.002545 -2.464084 0.239449 -0.036178 -0.023745 0.091934 0.269063 0.236390 0.963042 0.825948 0.950551 0.621551 0.708203 0.005785 0.904915 0.862292
#> Iteration: 250 bestvalit: 25.722380 bestmemit: -5.063855 0.007820 0.004047 0.001675 -2.449552 0.215465 -0.023535 -0.023815 0.084542 0.220982 0.300628 0.955175 0.364699 0.971187 0.968420 0.651873 0.001811 0.709959 0.896396
#> Iteration: 275 bestvalit: 25.369407 bestmemit: -4.829883 0.007966 0.001743 0.001985 -2.448492 0.203174 -0.007606 -0.032635 0.087034 0.092578 0.290186 0.954329 0.325163 0.999380 0.927253 0.629600 0.001850 0.881509 0.752397
#> Iteration: 300 bestvalit: 25.087594 bestmemit: -5.854299 0.007704 0.001437 0.001911 -2.451068 0.230205 -0.030471 -0.027571 0.090192 0.053422 0.318711 0.959037 0.428438 0.995540 0.994520 0.562906 0.000370 0.975986 0.827545
#> Iteration: 325 bestvalit: 25.014241 bestmemit: -5.652631 0.007546 0.001143 0.001779 -2.448272 0.222462 -0.023844 -0.027365 0.084623 0.053285 0.313313 0.957114 0.336038 0.999829 0.991934 0.587108 0.001314 0.984182 0.771035
#> Iteration: 350 bestvalit: 24.977681 bestmemit: -6.015451 0.007706 0.001659 0.001890 -2.448828 0.218144 -0.021388 -0.027458 0.084923 0.071921 0.313183 0.954263 0.183246 0.999617 0.994606 0.681322 0.000114 0.996365 0.302558
#> Iteration: 375 bestvalit: 24.960856 bestmemit: -6.617134 0.007615 0.001604 0.001817 -2.447754 0.219380 -0.022126 -0.028120 0.084272 0.074580 0.316579 0.952354 0.149394 0.999936 0.996151 0.675918 0.000121 0.998070 0.374779
#> Iteration: 400 bestvalit: 24.953706 bestmemit: -6.374081 0.007698 0.001597 0.001910 -2.447945 0.219820 -0.023895 -0.028126 0.084810 0.074575 0.318760 0.954255 0.140947 0.999904 0.999249 0.672902 0.000015 0.999542 0.787266
#> Iteration: 425 bestvalit: 24.952047 bestmemit: -6.772756 0.007679 0.001636 0.001917 -2.447837 0.219871 -0.023860 -0.027967 0.084743 0.074120 0.319427 0.953256 0.147769 0.999990 0.999946 0.679158 0.000008 0.999946 0.575798
#> Iteration: 450 bestvalit: 24.951291 bestmemit: -6.517950 0.007649 0.001576 0.001861 -2.447897 0.220087 -0.023739 -0.027572 0.084509 0.072983 0.318032 0.953710 0.143360 0.999987 0.999973 0.675980 0.000006 0.999991 0.693707
#> Iteration: 475 bestvalit: 24.950952 bestmemit: -6.595383 0.007668 0.001615 0.001884 -2.447708 0.219515 -0.023977 -0.027433 0.084608 0.074674 0.318073 0.953756 0.142730 0.999991 0.999988 0.675158 0.000002 0.999976 0.427873
#> Iteration: 500 bestvalit: 24.950809 bestmemit: -6.891352 0.007663 0.001606 0.001878 -2.447752 0.219659 -0.024225 -0.027220 0.084583 0.073354 0.318406 0.953839 0.142140 0.999991 0.999988 0.675155 0.000001 0.999993 0.650076
#> Iteration: 525 bestvalit: 24.950742 bestmemit: -6.897713 0.007675 0.001616 0.001884 -2.447753 0.219428 -0.023996 -0.027419 0.084609 0.073957 0.318402 0.953846 0.141933 0.999998 0.999999 0.674801 0.000000 0.999981 0.901083
#> Iteration: 550 bestvalit: 24.950680 bestmemit: -7.467273 0.007669 0.001600 0.001881 -2.447756 0.219524 -0.024142 -0.027257 0.084630 0.073395 0.318503 0.953885 0.141666 1.000000 0.999994 0.674362 0.000000 0.999999 0.812495
#> Iteration: 575 bestvalit: 24.950653 bestmemit: -8.141117 0.007672 0.001603 0.001885 -2.447756 0.219506 -0.024181 -0.027265 0.084664 0.073360 0.318318 0.953916 0.141432 1.000000 0.999998 0.674124 0.000000 0.999999 0.426078
#> Iteration: 600 bestvalit: 24.950649 bestmemit: -8.729654 0.007671 0.001604 0.001883 -2.447757 0.219549 -0.024186 -0.027264 0.084674 0.073438 0.318293 0.953883 0.141719 1.000000 1.000000 0.674576 0.000000 0.999999 0.625573
#> Iteration: 625 bestvalit: 24.950646 bestmemit: -8.481385 0.007673 0.001606 0.001885 -2.447776 0.219521 -0.024172 -0.027262 0.084672 0.073435 0.318227 0.953879 0.141667 1.000000 1.000000 0.674436 0.000000 1.000000 0.553852
#> Iteration: 650 bestvalit: 24.950645 bestmemit: -8.609143 0.007671 0.001604 0.001883 -2.447762 0.219542 -0.024192 -0.027257 0.084675 0.073400 0.318255 0.953909 0.141521 1.000000 1.000000 0.674313 0.000000 1.000000 0.911771
#> Iteration: 675 bestvalit: 24.950645 bestmemit: -8.771232 0.007673 0.001605 0.001884 -2.447770 0.219537 -0.024189 -0.027269 0.084674 0.073414 0.318206 0.953893 0.141576 1.000000 1.000000 0.674331 0.000000 1.000000 0.470789
#> ... Finished Calibration.
#> Best solution: 24.9506446317583
#> Best solution was <= reference model calibration solution!
#> ************************************
# }