logLik.HMM

This function makes it possible to call generic R methods such
as AIC and BIC on HMM objects. It is based on the number of
degrees of freedom of the *conditional* AIC (rather than
marginal AIC), i.e., including degrees of freedom from the
smooth/random effect components of the model.

Fitting hidden Markov models using automatic differentiation
and Laplace approximation, allowing for fast inference and flexible covariate
effects (including random effects and smoothing splines) on model parameters.
The package is described by Michelot (2022) <arXiv:2211.14139>.

Theo Michelot

hmmTMB

Fit Hidden Markov Models using Template Model Builder

Richard Glennie

logLik.HMM function

<dl><dt>object</dt>
<dd>HMM model object</dd>
<dt>...</dt>
<dd>For compatibility with S3 method</dd></dl>

Arguments

logLik function for SDE objects — logLik.HMM

<dl>

<dt>object</dt>
<dd>HMM model object</dd>


<dt>...</dt>
<dd>For compatibility with S3 method</dd>

</dl>

logLik.HMM: logLik function for SDE objects

Description

Usage

Value

Arguments