plot.gamhp

Plot for a <code>gam.hp</code> object

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

plot.gamhp function

<dl><dt>x</dt>
<dd>A <code>gam.hp</code> object.</dd>
<dt>plot.perc</dt>
<dd>Logical;if TRUE, the bar plot (based on ggplot2 package) of the percentage to individual effects of variables towards total explained variation, the default is FALSE to show plot with original individual effects.</dd>
<dt>...</dt>
<dd>unused</dd></dl>

Arguments

Jiangshan Lai <a href="/link/lai%40njfu.edu.cn?package=gam.hp&version=0.0-5" data-mini-rdoc="gam.hp::lai@njfu.edu.cn">lai@njfu.edu.cn</a>

Author

Plot for a gam.hp object — plot.gamhp

<dl>

<dt>x</dt>
<dd>A <code>gam.hp</code> object.</dd>


<dt>plot.perc</dt>
<dd>Logical;if TRUE, the bar plot (based on ggplot2 package) of the percentage to individual effects of variables towards total explained variation, the default is FALSE to show plot with original individual effects.</dd>


<dt>...</dt>
<dd>unused</dd>

</dl>

Jiangshan Lai <a href='mailto:lai@njfu.edu.cn'>lai@njfu.edu.cn</a>

plot.gamhp: Plot for a `gam.hp` object

Description

Usage

Value

Arguments

Author

Examples