state_names

state_names.hmm

state_names.mhmm

state_names.nhmm

state_names.mnhmm

state_names&lt;-

state_names&lt;-.hmm

state_names&lt;-.mhmm

state_names&lt;-.nhmm

state_names&lt;-.mnhmm

Get State Names of Hidden Markov Model
Set State Names of Hidden Markov Model

Designed for estimating variants of hidden (latent) Markov models
(HMMs), mixture HMMs, and non-homogeneous HMMs (NHMMs) for social sequence
data and other categorical time series. Special cases include
feedback-augmented NHMMs, Markov models without latent layer, mixture
Markov models, and latent class models. The package supports models for one
or multiple subjects with one or multiple parallel sequences (channels).
External covariates can be added to explain cluster membership in mixture
models as well as initial, transition and emission probabilities in NHMMs.
The package provides functions for evaluating and comparing models, as well
as functions for visualizing of multichannel sequence data and HMMs. For
NHMMs, methods for computing average causal effects and marginal state and
emission probabilities are available. Models are estimated using maximum
likelihood via the EM algorithm or direct numerical maximization with
analytical gradients. Documentation is available via several vignettes,
and Helske and Helske (2019, <doi:10.18637/jss.v088.i03>). For methodology
behind the NHMMs, see Helske (2025, <doi:10.48550/arXiv.2503.16014>).

Jouni Helske

seqHMM

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

Satu Helske

state_names function

<dl><dt>object</dt>
<dd>object An object of class <code>hmm</code>, <code>mhmm</code>, <code>nhmm</code>, or <code>mnhmm</code>.</dd>
<dt>value</dt>
<dd>A character vector containing the new state names, or a list of
such vectors in case of mixture models.</dd></dl>

Arguments

Get State Names of Hidden Markov  Model — state_names

<dl>

<dt>object</dt>
<dd>object An object of class <code>hmm</code>, <code>mhmm</code>, <code>nhmm</code>, or <code>mnhmm</code>.</dd>


<dt>value</dt>
<dd>A character vector containing the new state names, or a list of
such vectors in case of mixture models.</dd>

</dl>

Get State Names of Hidden Markov  Model

state_names: Get State Names of Hidden Markov Model

Description

Usage

Value

Arguments