boot_to_df

List to data.frame with bootstrap samples per row

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

boot_to_df function

<dl><dt>lcol</dt>
<dd>A bootstrap list-column</dd></dl>

Arguments

List to data.frame with bootstrap samples per row — boot_to_df

<dl>

<dt>lcol</dt>
<dd>A bootstrap list-column</dd>

</dl>

boot_to_df: List to data.frame with bootstrap samples per row

Description

Usage

Value

Arguments