creatbin

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

internal

Conducts hierarchical partitioning to calculate individual contributions of each predictor towards adjusted R2 and explained deviance for generalized additive models based on output of 'gam()' and 'bam()' in 'mgcv' package, applying the algorithm in this paper: Lai(2024) <doi:10.1016/j.pld.2024.06.002>.

Jiangshan Lai

gam.hp

Hierarchical Partitioning of Adjusted R2 and Explained Deviance
for Generalized Additive Models

Jing Tang

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