The pseudo residuals were derived from the conditional probabilities of the observations. At each time-step, the pseudo residual is the probability of an observation occurring given the prior observations and latter observations.
Details
get.residuals
get.residuals retrieves residuals from the fitted model and exports them as a data frame.
Examples
# Load fitted model
data(model.annual.fitted.221201)
## Get residuals in a dataframe
get.residuals(model = model.annual.fitted.221201)
#> year flow precipitation Qhat.flow Qhat.precipitation unif.pseuou.resid
#> 1 1923 125.09053 961.6729 4.837000 961.6729 0.282360012
#> 2 1924 63.94195 795.7554 4.173494 795.7554 0.205443625
#> 3 1925 184.41702 1045.1675 5.222607 1045.1675 0.388304359
#> 4 1926 71.62613 749.1795 4.285325 749.1795 0.530903701
#> 5 1927 130.10813 981.1049 4.876022 981.1049 0.256435045
#> 6 1928 269.01408 969.8059 5.598474 969.8059 0.964239123
#> 7 1929 NA 928.4907 NA 928.4907 NA
#> 8 1930 NA 932.5074 NA 932.5074 NA
#> 9 1931 NA 865.8296 NA 865.8296 NA
#> 10 1932 NA 972.0635 NA 972.0635 NA
#> 11 1933 NA 1253.4182 NA 1253.4182 NA
#> 12 1934 NA 1457.7865 NA 1457.7865 NA
#> 13 1935 NA 947.9338 NA 947.9338 NA
#> 14 1936 NA 869.2778 NA 869.2778 NA
#> 15 1937 NA 936.5729 NA 936.5729 NA
#> 16 1938 NA 872.1881 NA 872.1881 NA
#> 17 1939 NA 870.5235 NA 870.5235 NA
#> 18 1940 NA 806.5427 NA 806.5427 NA
#> 19 1941 NA 672.8050 NA 672.8050 NA
#> 20 1942 NA 926.1249 NA 926.1249 NA
#> 21 1943 NA 695.4942 NA 695.4942 NA
#> 22 1944 NA 824.9850 NA 824.9850 NA
#> 23 1945 NA 856.2976 NA 856.2976 NA
#> 24 1946 NA 953.9565 NA 953.9565 NA
#> 25 1947 106.87001 904.7650 4.680927 904.7650 0.353287786
#> 26 1948 152.83273 969.1042 5.035866 969.1042 0.497172893
#> 27 1949 269.40076 1081.6194 5.599905 1081.6194 0.697165777
#> 28 1950 448.62075 1236.2350 6.108404 1236.2350 0.651928408
#> 29 1951 388.09704 1083.6728 5.963829 1083.6728 0.952628956
#> 30 1952 NA 1497.3913 NA 1497.3913 NA
#> 31 1953 NA 922.0591 NA 922.0591 NA
#> 32 1954 NA 714.8487 NA 714.8487 NA
#> 33 1955 NA 934.8080 NA 934.8080 NA
#> 34 1956 NA 1118.4126 NA 1118.4126 NA
#> 35 1957 159.99592 985.0376 5.081379 985.0376 0.489706408
#> 36 1958 60.15846 718.3842 4.113468 718.3842 0.456390805
#> 37 1959 255.76358 1235.8035 5.548156 1235.8035 0.082635987
#> 38 1960 254.81734 1093.9330 5.544464 1093.9330 0.583992796
#> 39 1961 392.20071 1340.7397 5.974320 1340.7397 0.111047954
#> 40 1962 123.98650 802.7521 4.828206 802.7521 0.888813453
#> 41 1963 275.55938 1067.5055 5.622426 1067.5055 0.776686704
#> 42 1964 109.58464 875.7446 4.705781 875.7446 0.521384141
#> 43 1965 NA 846.4930 NA 846.4930 NA
#> 44 1966 285.17953 1219.3717 5.656619 1219.3717 0.317565507
#> 45 1967 83.88916 705.8440 4.441346 705.8440 0.923285767
#> 46 1968 35.63002 880.7425 3.600868 880.7425 0.005046797
#> 47 1969 156.71943 1074.2433 5.060818 1074.2433 0.523658725
#> 48 1970 NA 1516.1403 NA 1516.1403 NA
#> 49 1971 NA 753.4645 NA 753.4645 NA
#> 50 1972 31.71113 514.5234 3.487715 514.5234 0.689934534
#> 51 1973 68.07280 864.5321 4.235161 864.5321 0.118714928
#> 52 1974 452.44566 1348.9024 6.116875 1348.9024 0.227030319
#> 53 1975 331.58509 1053.5235 5.806896 1053.5235 0.935192909
#> 54 1976 251.36386 992.4163 5.530872 992.4163 0.906051110
#> 55 1977 126.59230 791.1651 4.848840 791.1651 0.921066231
#> 56 1978 546.16352 1311.3833 6.304748 1311.3833 0.570963360
#> 57 1979 64.08882 709.9309 4.175753 709.9309 0.594340275
#> 58 1980 21.94957 615.9869 3.133299 615.9869 0.026384968
#> 59 1981 35.73008 645.2430 3.603596 645.2430 0.240714515
#> 60 1982 24.04471 614.2559 3.220663 614.2559 0.049092189
#> 61 1983 234.84171 1057.5951 5.463161 1057.5951 0.655581349
#> 62 1984 306.71210 994.5065 5.729165 994.5065 0.973381871
#> 63 1985 651.97575 1314.2949 6.481540 1314.2949 0.758630857
#> 64 1986 98.10944 664.3635 4.596225 664.3635 0.979579972
#> 65 1987 52.39369 655.7308 3.977693 655.7308 0.558221010
#> 66 1988 135.15181 932.1170 4.913771 932.1170 0.503157793
#> 67 1989 257.87835 1123.2078 5.556358 1123.2078 0.459140897
#> 68 1990 172.44735 893.0441 5.155874 893.0441 0.891867083
#> 69 1991 188.67362 1070.6112 5.245305 1070.6112 0.307760997
#> 70 1992 189.19196 998.9060 5.248034 998.9060 0.629434226
#> 71 1993 88.38179 902.7844 4.492917 902.7844 0.160873059
#> 72 1994 87.99908 838.0450 4.488626 838.0450 0.402072977
#> 73 1995 139.66260 1028.2866 4.946364 1028.2866 0.183716646
#> 74 1996 61.28702 754.2106 4.131753 754.2106 0.370900387
#> 75 1997 51.92631 679.9007 3.968901 679.9007 0.557207831
#> 76 1998 135.79290 999.5150 4.918468 999.5150 0.487249117
#> 77 1999 42.27925 751.4960 3.767673 751.4960 0.397844091
#> 78 2000 44.45604 906.4195 3.816746 906.4195 0.209180324
#> 79 2001 151.32080 1188.6574 5.025989 1188.6574 0.401022743
#> 80 2002 99.88997 694.2971 4.614030 694.2971 0.983078681
#> 81 2003 24.55597 753.2511 3.240871 753.2511 0.256132490
#> 82 2004 21.93022 873.0992 3.132456 873.0992 0.058297582
#> 83 2005 47.45737 841.9714 3.880684 841.9714 0.451713013
#> 84 2006 72.10276 821.5185 4.291866 821.5185 0.767453030
#> 85 2007 139.71488 956.2435 4.946736 956.2435 0.854382702
#> 86 2008 18.05987 648.0498 2.947585 648.0498 0.292415514
#> 87 2009 16.74858 837.1073 2.876306 837.1073 0.036696607
#> 88 2010 21.36819 804.4517 3.107640 804.4517 0.117427502
#> 89 2011 173.88331 1188.6321 5.164119 1188.6321 0.505455717
#> 90 2012 224.61359 1219.1642 5.418824 1219.1642 0.601268000
#> 91 2013 123.83128 966.0427 4.826963 966.0427 0.788537296
#> 92 2014 132.86532 1275.3471 4.896834 1275.3471 0.051273823
#> 93 2015 245.60145 1144.0182 5.507773 1144.0182 0.687090854
#> 94 2016 97.54142 832.5498 4.590477 832.5498 0.786505168
#> norm.pseudo.resid
#> 1 -0.575844898
#> 2 -0.822333264
#> 3 -0.283741201
#> 4 0.077541726
#> 5 -0.654375229
#> 6 1.802150344
#> 7 NA
#> 8 NA
#> 9 NA
#> 10 NA
#> 11 NA
#> 12 NA
#> 13 NA
#> 14 NA
#> 15 NA
#> 16 NA
#> 17 NA
#> 18 NA
#> 19 NA
#> 20 NA
#> 21 NA
#> 22 NA
#> 23 NA
#> 24 NA
#> 25 -0.376459158
#> 26 -0.007086565
#> 27 0.516266278
#> 28 0.390532018
#> 29 1.670896675
#> 30 NA
#> 31 NA
#> 32 NA
#> 33 NA
#> 34 NA
#> 35 -0.025805072
#> 36 -0.109530655
#> 37 -1.387557031
#> 38 0.212118730
#> 39 -1.220973886
#> 40 1.220242149
#> 41 0.761051025
#> 42 0.053627787
#> 43 NA
#> 44 -0.474517370
#> 45 1.427525551
#> 46 -2.572606359
#> 47 0.059338434
#> 48 NA
#> 49 NA
#> 50 0.495664791
#> 51 -1.181435262
#> 52 -0.748662522
#> 53 1.515625076
#> 54 1.316823544
#> 55 1.412279984
#> 56 0.178827336
#> 57 0.238724200
#> 58 -1.936798855
#> 59 -0.704006011
#> 60 -1.653720197
#> 61 0.400433436
#> 62 1.932999509
#> 63 0.701905199
#> 64 2.045150168
#> 65 0.146460361
#> 66 0.007915496
#> 67 -0.102598297
#> 68 1.236518660
#> 69 -0.502206895
#> 70 0.330355254
#> 71 -0.990876028
#> 72 -0.247985075
#> 73 -0.901291611
#> 74 -0.329469591
#> 75 0.143893791
#> 76 -0.031967168
#> 77 -0.258931385
#> 78 -0.809268627
#> 79 -0.250700743
#> 80 2.121941648
#> 81 -0.655314976
#> 82 -1.569226532
#> 83 -0.121334588
#> 84 0.730484737
#> 85 1.055417121
#> 86 -0.546341772
#> 87 -1.790377690
#> 88 -1.187945188
#> 89 0.013675882
#> 90 0.256630537
#> 91 0.801356297
#> 92 -1.632626160
#> 93 0.487621038
#> 94 0.794353505