separate_mhmm: Reorganize a mixture hidden Markov model to a list of...

In seqHMM: Mixture Hidden Markov Models for Social Sequence Data and Other Multivariate, Multichannel Categorical Time Series

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 mhmm.

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]])

seqHMM documentation built on June 8, 2025, 10:16 a.m.