fixvar_of_red_mod

Calculate fixed effect variance from a reduced model

internal

Partitioning the R2 of GLMMs into variation explained by each
predictor and combination of predictors using semi-partial (part) R2 and
inclusive R2. Methods are based on the R2 for GLMMs described in
Nakagawa & Schielzeth (2013) and Nakagawa, Johnson & Schielzeth (2017).

Martin A Stoffel

partR2

Partitioning R2 in GLMMs

Martin A. Stoffel

Shinichi Nakagawa

Holger Schielzeth

fixvar_of_red_mod function

<dl><dt>partvar</dt>
<dd>One or more fixed effect variables which are taken out
of the model.</dd>
<dt>mod</dt>
<dd>merMod object.</dd>
<dt>dat</dt>
<dd>Data.frame to fit the model</dd>
<dt>expct</dt>
<dd>Expectation</dd>
<dt>overdisp_name</dt>
<dd>Name of overdispersion term</dd>
<dt>R2_type</dt>
<dd>"marginal" or "conditional"</dd></dl>

Arguments

Calculate fixed effect variance from a reduced model — fixvar_of_red_mod

<dl>

<dt>partvar</dt>
<dd>One or more fixed effect variables which are taken out
of the model.</dd>


<dt>mod</dt>
<dd>merMod object.</dd>


<dt>dat</dt>
<dd>Data.frame to fit the model</dd>


<dt>expct</dt>
<dd>Expectation</dd>


<dt>overdisp_name</dt>
<dd>Name of overdispersion term</dd>


<dt>R2_type</dt>
<dd>"marginal" or "conditional"</dd>

</dl>

fixvar_of_red_mod: Calculate fixed effect variance from a reduced model

Description

Usage

Value

Arguments