logLik.hmm {seqHMM} | R Documentation |
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 |
partials |
Return a vector containing the individual contributions of each sequence to the total log-likelihood.
The default is |
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 |
... |
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.
[Package seqHMM version 1.2.6 Index]