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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: | 1.1-0 |
| Depends: | R (≥ 3.4.0), vegan, ggplot2 |
| Published: | 2023-05-23 |
| Author: | Jiangshan Lai,Yao Liu,Pedro Peres-Neto,Kim Nimon |
| 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.pdf |
| Package source: | rdacca.hp_1.1-0.tar.gz |
| Windows binaries: | r-devel: rdacca.hp_1.1-0.zip, r-release: rdacca.hp_1.1-0.zip, r-oldrel: rdacca.hp_1.1-0.zip |
| macOS binaries: | r-release (arm64): rdacca.hp_1.1-0.tgz, r-oldrel (arm64): rdacca.hp_1.1-0.tgz, r-release (x86_64): rdacca.hp_1.1-0.tgz, r-oldrel (x86_64): rdacca.hp_1.1-0.tgz |
| Old sources: | rdacca.hp archive |
| Reverse imports: | UpSetVP |
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These binaries (installable software) and packages are in development.
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