seqHMM (version 1.1.0)

posterior_probs: Posterior Probabilities for (Mixture) Hidden Markov Models

Description

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

Usage

posterior_probs(model, log_space = FALSE)

Arguments

model

A (mixture) hidden Markov model of class hmm or mhmm.

log_space

Compute posterior probabilities in logarithmic scale. The default is FALSE.

Value

Posterior probabilities. In case of multiple observations, these are computed independentlsy for each sequence.

Examples

# NOT RUN {
# Load a pre-defined MHMM
data("mhmm_biofam")

# Compute posterior probabilities
pb <- posterior_probs(mhmm_biofam)

# Locally most probable states for the first subject:
pb[, , 1]
# }