formula.Model

Extracts the <a href="/link/formula?package=glmmrBase&version=0.10.5" data-mini-rdoc="glmmrBase::formula">formula</a> from a `Model` object. This information can also be
accessed directly from the Model as `Model$formula`

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.Model function

<dl><dt>x</dt>
<dd>A `Model` 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 `Model` object. This information can also be
accessed directly from the Model as `Model$formula`

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

<dl>

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


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

</dl>

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

Description

Usage

Value

Arguments