coef.mcml

Extracts the fitted fixed effect coefficients from an `mcml` object returned from a 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

coef.mcml function

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

Arguments

Extracts fixed effect coefficients from a mcml object — coef.mcml

<dl>

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


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

</dl>

coef.mcml: Extracts fixed effect coefficients from a mcml object

Description

Usage

Value

Arguments