gam.hp: Hierarchical Partitioning of Adjusted R2 and Explained Deviance for Generalized Additive Models

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()in 'mgcv' package, applying the algorithm in this paper: Lai(2024) <doi:10.1016/j.pld.2024.06.002>.

Version:	0.0-3
Depends:	R (≥ 3.4.0), mgcv, ggplot2
Published:	2024-12-16
DOI:	10.32614/CRAN.package.gam.hp
Author:	Jiangshan Lai [aut, cre], Jing Tang [aut]
Maintainer:	Jiangshan Lai <lai at njfu.edu.cn>
License:	GPL-2 | GPL-3 [expanded from: GPL]
URL:	https://github.com/laijiangshan/gam.hp
NeedsCompilation:	no
Citation:	gam.hp citation info
CRAN checks:	gam.hp results

Documentation:

Reference manual:

gam.hp.pdf

Downloads:

Package source:	gam.hp_0.0-3.tar.gz
Windows binaries:	r-devel: gam.hp_0.0-3.zip, r-release: gam.hp_0.0-2.zip, r-oldrel: gam.hp_0.0-3.zip
macOS binaries:	r-release (arm64): gam.hp_0.0-3.tgz, r-oldrel (arm64): gam.hp_0.0-3.tgz, r-release (x86_64): gam.hp_0.0-3.tgz, r-oldrel (x86_64): gam.hp_0.0-3.tgz
Old sources:	gam.hp archive

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