check_heterogeneity_bias

<code>check_heterogeneity_bias()</code> checks if model predictors or variables may
cause a heterogeneity bias, i.e. if variables have a within- and/or
between-effect.

Utilities for computing measures to assess model quality,
which are not directly provided by R's 'base' or 'stats' packages.
These include e.g. measures like r-squared, intraclass correlation
coefficient (Nakagawa, Johnson & Schielzeth (2017)
<doi:10.1098/rsif.2017.0213>), root mean squared error or functions to
check models for overdispersion, singularity or zero-inflation and
more. Functions apply to a large variety of regression models,
including generalized linear models, mixed effects models and Bayesian
models.

Daniel Lüdecke

performance

Assessment of Regression Models Performance

Dominique Makowski

Mattan S. Ben-Shachar

Indrajeet Patil

Philip Waggoner

Brenton M. Wiernik

Vincent Arel-Bundock

Martin Jullum

gjo11 

check_heterogeneity_bias function

<dl><dt>x</dt>
<dd>A data frame or a mixed model object.</dd>
<dt>select</dt>
<dd>Character vector (or formula) with names of variables to select
that should be checked. If <code>x</code> is a mixed model object, this argument
will be ignored.</dd>
<dt>group</dt>
<dd>Character vector (or formula) with the name of the variable that
indicates the group- or cluster-ID. If <code>x</code> is a model object, this
argument will be ignored.</dd></dl>

Arguments

Check model predictor for heterogeneity bias — check_heterogeneity_bias

<dl>

<dt>x</dt>
<dd>A data frame or a mixed model object.</dd>


<dt>select</dt>
<dd>Character vector (or formula) with names of variables to select
that should be checked. If <code>x</code> is a mixed model object, this argument
will be ignored.</dd>


<dt>group</dt>
<dd>Character vector (or formula) with the name of the variable that
indicates the group- or cluster-ID. If <code>x</code> is a model object, this
argument will be ignored.</dd>

</dl>

Check model predictor for heterogeneity bias

check_heterogeneity_bias: Check model predictor for heterogeneity bias

Description

Usage

Arguments

See Also

Examples