Package: UpSetVP
Title: An Alternative Visualization of VPA and HP in Canonical Analysis
Version: 1.0.0
Author: Yao Liu
Maintainer: Yao Liu <lyao222lll@nwafu.edu.cn>
Description: 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>.
URL: https://github.com/LiuXYh/UpSetVP
BugReports: https://github.com/LiuXYh/UpSetVP/issues
Depends: R (>= 3.6.0)
Imports: rdacca.hp, ggplot2, patchwork, grDevices
Suggests: adespatial
LazyData: no
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.1.1
Date: 2022-04-30
NeedsCompilation: no
Packaged: 2022-04-30 15:20:22 UTC; dell
Repository: CRAN
Date/Publication: 2022-05-03 10:20:05 UTC
Built: R 4.2.0; ; 2023-07-11 01:39:43 UTC; unix
