get_var_comps

Extract variance components from merMod.

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

get_var_comps function

<dl><dt>mod</dt>
<dd>A merMod object.</dd>
<dt>expct</dt>
<dd>expectation.</dd>
<dt>overdisp_name</dt>
<dd>name of overdispersion term</dd></dl>

Arguments

Extract variance components from merMod. — get_var_comps

<dl>

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


<dt>expct</dt>
<dd>expectation.</dd>


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

</dl>

get_var_comps: Extract variance components from merMod.

Description

Usage

Value

Arguments