formula.mcml

Extracts the <a href="/link/formula?package=glmmrBase&version=1.0.0" data-mini-rdoc="glmmrBase::formula">formula</a> from a `mcml` object. Separate formulae are 
specified for the fixed and random effects in the model, either of which can be
returned. The complete formula is available from the generating `Model` object as 
`Model$formula` or `formula(Model)`

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

formula.mcml function

<dl><dt>x</dt>
<dd>A `mcml` object.</dd>
<dt>...</dt>
<dd>Further arguments passed from other methods</dd></dl>

Arguments

Extracts the <a href='https://rdrr.io/r/stats/formula.html'>formula</a> from a `mcml` object. Separate formulae are 
specified for the fixed and random effects in the model, either of which can be
returned. The complete formula is available from the generating `Model` object as 
`Model$formula` or `formula(Model)`

Extracts the formula from a `mcml` object. — formula.mcml

<dl>

<dt>x</dt>
<dd>A `mcml` object.</dd>


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

</dl>

formula.mcml: Extracts the formula from a `mcml` object.

Description

Usage

Value

Arguments