fitted.Model

Return fitted values. Does not account for the random effects. This function is a wrapper for `Model$fitted()`, which 
also provides a variety of additional options for generating fitted values from mixed models. 
For simulated values based on resampling random effects, see also `Model$sim_data()`. To predict the values including random effects at a new location see also
`Model$predict()`.

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

fitted.Model function

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

Arguments

Extract or generate fitted values from a `Model` object — fitted.Model

<dl>

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


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

</dl>

fitted.Model: Extract or generate fitted values from a `Model` object

Description

Usage

Value

Arguments