upset.hp: Generate UpSet Plots of VP and HP Based on the ASV Concept
Using matrix layout to visualize the unique, common, or individual contribution of each predictor (or matrix of predictors) towards explained variation on different models. These contributions were derived from variation partitioning (VP) and hierarchical partitioning (HP), applying the algorithm of "Lai et al. (2022) Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package.Methods in Ecology and Evolution, 13: 782-788 <doi:10.1111/2041-210X.13800>".
| Version: | 0.0.6 |
| Depends: | R (≥ 3.6.0) |
| Imports: | MuMIn, vegan, glmm.hp, ggplot2, patchwork, grDevices |
| Published: | 2026-04-20 |
| DOI: | 10.32614/CRAN.package.upset.hp |
| Author: | Jiangshan Lai 
[aut, cre],
Yao Liu [aut],
Bangken Ying [aut] |
| Maintainer: | Jiangshan Lai <lai at njfu.edu.cn> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/laijiangshan/upset.hp |
| NeedsCompilation: | no |
| Citation: | upset.hp citation info |
| CRAN checks: | upset.hp results |
Documentation:
| Reference manual: | upset.hp.html , upset.hp.pdf |
Downloads:
| Package source: | upset.hp_0.0.6.tar.gz |
| Windows binaries: | r-devel: upset.hp_0.0.6.zip, r-release: upset.hp_0.0.6.zip, r-oldrel: upset.hp_0.0.6.zip |
| macOS binaries: | r-release (arm64): upset.hp_0.0.6.tgz, r-oldrel (arm64): upset.hp_0.0.6.tgz, r-release (x86_64): upset.hp_0.0.6.tgz, r-oldrel (x86_64): upset.hp_0.0.6.tgz |
| Old sources: | upset.hp archive |
Linking:
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