logLik_hmm: Log-likelihood of a Hidden Markov Model

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

Log-likelihood of a Hidden Markov Model

Description

Log-likelihood of a Hidden Markov Model

Usage

## S3 method for class 'hmm'
logLik(object, partials = FALSE, threads = 1, log_space = TRUE, ...)

## S3 method for class 'mhmm'
logLik(object, partials = FALSE, threads = 1, log_space = TRUE, ...)

Arguments

object	A hidden Markov model.
partials	Return a vector containing the individual contributions of each sequence to the total log-likelihood. The default is FALSE, which returns the sum of all log-likelihood components.
threads	Number of threads to use in parallel computing. The default is 1.
log_space	Make computations using log-space instead of scaling for greater numerical stability at the cost of decreased computational performance. The default is TRUE.
...	Ignored.

Value

Log-likelihood of the hidden Markov model. This is an object of class logLik with attributes nobs and df inherited from the model object.

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