logLik.hmm: Log-likelihood of the Hidden Markov Model

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

Log-likelihood of the Hidden Markov Model

Description

Function logLik.hmm computes the log-likelihood value of a hidden Markov model.

Usage

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

Arguments

object	A hidden Markov model of class hmm.
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.

See Also

build_hmm and fit_model for building and fitting Hidden Markov models.

helske/seqHMM documentation built on July 6, 2023, 6:45 a.m.