logLik.Model

Extracts the log-likelihood value from an `Model` object. If no data `y` are specified then it returns NA.

Specification, analysis, simulation, and fitting of generalised linear mixed models.
Includes Markov Chain Monte Carlo Maximum likelihood and Laplace approximation model fitting for a range of models,
non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily,
robust and bias-corrected standard error estimation, power calculation, data simulation, and more.
See <https://samuel-watson.github.io/glmmr-web/> for a detailed manual.

Sam Watson

glmmrBase

Generalised Linear Mixed Models in R

logLik.Model function

<dl><dt>object</dt>
<dd>An `Model` object.</dd>
<dt>...</dt>
<dd>Further arguments passed from other methods</dd></dl>

Arguments

Extracts the log-likelihood from an mcml object — logLik.Model

<dl>

<dt>object</dt>
<dd>An `Model` object.</dd>


<dt>...</dt>
<dd>Further arguments passed from other methods</dd>

</dl>

logLik.Model: Extracts the log-likelihood from an mcml object

Description

Usage

Value

Arguments