seqHMM: logLik.hmm – R documentation

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logLik.hmm

Log-likelihood of the Hidden Markov Model

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

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

`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.

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