creatbin

Internal function for glmm.hp() to create diagonal matrix

internal

Conducts hierarchical partitioning to calculate individual contributions of each predictor (fixed effects) towards marginal R2 for generalized linear mixed-effect model (including lm, glm and glmm) based on output of r.squaredGLMM() in 'MuMIn', applying the algorithm of Lai J.,Zou Y., Zhang S.,Zhang X.,Mao L.(2022)glmm.hp: an R package for computing individual effect of predictors in generalized linear mixed models.Journal of Plant Ecology,15(6)1302-1307<doi:10.1093/jpe/rtac096>.

Jiangshan Lai

glmm.hp

Hierarchical Partitioning of Marginal R2 for Generalized
Mixed-Effect Models

Kim Nimon

Yao Liu

creatbin function

<dl><dt>col</dt>
<dd>Imput number.</dd>
<dt>binmatrix</dt>
<dd>Imput empty matrix.</dd></dl>

Arguments

Internal function for glmm.hp() to create diagonal matrix — creatbin

<dl>

<dt>col</dt>
<dd>Imput number.</dd>


<dt>binmatrix</dt>
<dd>Imput empty matrix.</dd>

</dl>

creatbin: Internal function for glmm.hp() to create diagonal matrix

Description

Usage

Value

Arguments