separate_mhmm {seqHMM} | R Documentation |
Reorganize a mixture hidden Markov model to a list of separate hidden Markov models (covariates ignored)
Description
The separate_mhmm
function reorganizes the parameters of a mhmm
object
into a list where each list component is an object of class hmm
consisting of the
parameters of the corresponding cluster.
Usage
separate_mhmm(model)
Arguments
model |
Mixture hidden Markov model of class |
Value
List with components of class hmm
.
See Also
build_mhmm
and fit_model
for building and fitting MHMMs; and mhmm_biofam
for
more information on the model used in examples.
Examples
# Loading mixture hidden Markov model (mhmm object)
# of the biofam data
data("mhmm_biofam")
# Separate models for clusters
sep_hmm <- separate_mhmm(mhmm_biofam)
# Plotting the model for the first cluster
plot(sep_hmm[[1]])
[Package seqHMM version 1.2.6 Index]