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Using matrix layout to visualize the unique, common, or individual contribution of each predictor (or matrix of predictors) towards explained variation on canonical analysis. These contributions were derived from variance partitioning analysis (VPA) and hierarchical partitioning (HP), 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: | 1.0.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | rdacca.hp, ggplot2, patchwork, grDevices |
| Suggests: | adespatial |
| Published: | 2022-05-03 |
| DOI: | 10.32614/CRAN.package.UpSetVP |
| Author: | Yao Liu |
| Maintainer: | Yao Liu <lyao222lll at nwafu.edu.cn> |
| BugReports: | https://github.com/LiuXYh/UpSetVP/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/LiuXYh/UpSetVP |
| NeedsCompilation: | no |
| CRAN checks: | UpSetVP results |
| Reference manual: | UpSetVP.pdf |
| Package source: | UpSetVP_1.0.0.tar.gz |
| Windows binaries: | r-devel: UpSetVP_1.0.0.zip, r-release: UpSetVP_1.0.0.zip, r-oldrel: UpSetVP_1.0.0.zip |
| macOS binaries: | r-release (arm64): UpSetVP_1.0.0.tgz, r-oldrel (arm64): UpSetVP_1.0.0.tgz, r-release (x86_64): UpSetVP_1.0.0.tgz, r-oldrel (x86_64): UpSetVP_1.0.0.tgz |
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