posterior_probs: Posterior Probabilities for Hidden Markov Models

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

Posterior Probabilities for Hidden Markov Models

Description

Function posterior_probs computes the posterior probabilities of hidden states of a (mixture) hidden Markov model.

Usage

posterior_probs(model, ...)

## S3 method for class 'hmm'
posterior_probs(model, ...)

## S3 method for class 'mhmm'
posterior_probs(model, ...)

## S3 method for class 'nhmm'
posterior_probs(model, ...)

## S3 method for class 'mnhmm'
posterior_probs(model, ...)

Arguments

model	A hidden Markov model object.
...	Ignored.

Value

A data frame of posterior probabilities for each state and sequence.

Examples

# Load a pre-defined MHMM
data("mhmm_biofam")

# Compute posterior probabilities
pb <- posterior_probs(mhmm_biofam)

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