check After fitting the model, the reliability of the estimated states can be assessed by generating synthetic state sequences and then assessing how well the model identified them.
Value
A data frame is returned with a matrix depending on the number of states. For a 2 state model, a 2x2 matrix is returned. The diagonal cell estimates the probability of correctly identifying that state. The off diagonals estimate the probability of incorrectly identifying a state that in state 2.
Details
check
This validates the model's states at each time-step through re-sampling the input data and re-running the Viterbi algorithm. The input data is duplicated 100 times, and a synthetic series is generated from the model with sample states. This provides a time series of the transformed streamflow observations that can be compared with observations of the `known' state. The Viterbi states of the re-sampled transformed observations are inferred, and the probability of the inferred state equaling the 'known' state is calculated.