gam.hp: Hierarchical Partitioning of Adjusted R2 and Explained Deviancefor 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.2024.06.002>.
| Version: | 0.0-5 |
| Depends: | R (≥ 3.4.0),mgcv,ggplot2 |
| Published: | 2025-10-24 |
| 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.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 |
Linking:
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