summary.mhmm: Summary method for mixture hidden Markov models

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

Summary method for mixture hidden Markov models

Description

Function summary.mhmm gives a summary of a mixture hidden Markov model.

Usage

## S3 method for class 'mhmm'
summary(object, parameters = FALSE, conditional_se = TRUE, ...)

Arguments

object	Mixture hidden Markov model of class mhmm.
parameters	Whether or not to return transition, emission, and initial probabilities. FALSE by default.
conditional_se	Return conditional standard errors of coefficients. See vcov.mhmm() for details. TRUE by default.
...	Further arguments to vcov.mhmm().

Details

The summary.mhmm function computes features from a mixture hidden Markov model and stores them as a list. A print method prints summaries of these: log-likelihood and BIC, coefficients and standard errors of covariates, means of prior cluster probabilities, and information on most probable clusters.

Value

• transition_probs
  Transition probabilities. Only returned if parameters = TRUE.

• emission_probs
  Emission probabilities. Only returned if parameters = TRUE.

• initial_probs
  Initial state probabilities. Only returned if parameters = TRUE.

• logLik
  Log-likelihood.

• BIC
  Bayesian information criterion.

• most_probable_cluster
  The most probable cluster according to posterior probabilities.

• coefficients
  Coefficients of covariates.

• vcov
  Variance-covariance matrix of coefficients.

• prior_cluster_probabilities
  Prior cluster probabilities (mixing proportions) given the covariates.

• posterior_cluster_probabilities
  Posterior cluster membership probabilities.

• classification_table
  Cluster probabilities (columns) by the most probable cluster (rows).

See Also

build_mhmm() and fit_model() for building and fitting mixture hidden Markov models; and mhmm_biofam() for information on the model used in examples.

Examples

# Loading mixture hidden Markov model (mhmm object)
# of the biofam data
data("mhmm_biofam")

# Model summary
summary(mhmm_biofam)

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