Hierarchical Partitioning of Adjusted R2 and Explained Deviance for Generalized Additive Models [R package gam.hp version 0.0-5]

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()' and 'bam()' in 'mgcv' package, applying the algorithm in this paper: Lai(2024) <doi:10.1016/j.pld.202406002>.

Version: 0.0-5

Depends: R (≥ 3.4.0), mgcv, ggplot2

Published: 2025年10月24日

DOI: 10.32614/CRAN.package.gam.hp

Author: Jiangshan Lai ORCID iD [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.html , gam.hp.pdf

Downloads:

Package source: gam.hp_0.0-5.tar.gz

Windows binaries: r-devel: gam.hp_0.0-5.zip, r-release: gam.hp_0.0-5.zip, r-oldrel: gam.hp_0.0-5.zip

macOS binaries: r-release (arm64): gam.hp_0.0-5.tgz, r-oldrel (arm64): gam.hp_0.0-5.tgz, r-release (x86_64): gam.hp_0.0-5.tgz, r-oldrel (x86_64): gam.hp_0.0-5.tgz

Old sources: gam.hp archive

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