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upset.hp
View on CRAN: Click
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Download and install upset.hp package within the R console
Install from CRAN:
install.packages("upset.hp")
Install from Github:
library("remotes")
install_github("cran/upset.hp")
Install by package version:
library("remotes")
install_version("upset.hp", "0.0.1")
Attach the package and use:
library("upset.hp")
Maintained by
Jiangshan Lai
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-06-04
Latest Update: 2025-06-04
Description:
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>".
How to cite:
Jiangshan Lai (2025). upset.hp: Generate UpSet Plots of VP and HP Based on the ASV Concept. R package version 0.0.1, https://cran.r-project.org/web/packages/upset.hp. Accessed 12 Jun. 2025.
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