High-Performance Open-Source Archive
This function conducts variation partitioning and hierarchical partitioning to calculate the unique, shared (referred as to "common") and individual contributions of each predictor (or matrix) towards explained variation (R-square and adjusted R-square) on canonical analysis (RDA,CCA and db-RDA), applying the algorithm of Lai J.,Zou Y., Zhang J.,Peres-Neto P.(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: | 1.1-3 |
| Depends: | R (≥ 3.4.0), vegan, ggplot2 |
| Imports: | utils |
| Published: | 2026-04-21 |
| DOI: | 10.32614/CRAN.package.rdacca.hp |
| Author: | Jiangshan Lai |
| Maintainer: | Jiangshan Lai <lai at njfu.edu.cn> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| URL: | https://github.com/laijiangshan/rdacca.hp |
| NeedsCompilation: | no |
| Citation: | rdacca.hp citation info |
| CRAN checks: | rdacca.hp results |
| Reference manual: | rdacca.hp.html , rdacca.hp.pdf |
| Package source: | rdacca.hp_1.1-3.tar.gz |
| Windows binaries: | r-devel: rdacca.hp_1.1-3.zip, r-release: rdacca.hp_1.1-3.zip, r-oldrel: rdacca.hp_1.1-3.zip |
| macOS binaries: | r-release (arm64): rdacca.hp_1.1-3.tgz, r-oldrel (arm64): rdacca.hp_1.1-3.tgz, r-release (x86_64): rdacca.hp_1.1-3.tgz, r-oldrel (x86_64): rdacca.hp_1.1-3.tgz |
| Old sources: | rdacca.hp archive |
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