extract.bestM {MatrixHMM} | R Documentation |
Selection of the best fitting model(s)
Description
This functions extracts the best fitting model(s) according to the Bayesian information criterion (BIC).
Usage
extract.bestM(results, top = 1)
Arguments
results |
The output of the |
top |
Integer. Specifies the number of top-ranked models to display based on the Bayesian Information Criterion (BIC). |
Value
A list containing the required best fitting model(s).
Examples
data(simData)
Y <- simData$Y
init <- Eigen.HMM_init(Y = Y, k = 2, density = "MVT", mod.row = "EEE", mod.col = "EE", nstartR = 10)
fit <- Eigen.HMM_fit(Y = Y, init.par = init, nThreads = 1)
win <- extract.bestM(results = fit, top = 1)
[Package MatrixHMM version 1.0.0 Index]