random.effects

Extracts the random effect estimates or samples from an mcml object returned from call of `MCML` or `LA` in the Model class.

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

random.effects function

<dl><dt>object</dt>
<dd>An `mcml` model fit.</dd></dl>

Arguments

Extracts the random effect estimates — random.effects

<dl>

<dt>object</dt>
<dd>An `mcml` model fit.</dd>

</dl>

random.effects: Extracts the random effect estimates

Description

Usage

Value

Arguments