Package: upset.hp
Title: Generate UpSet Plots of VP and HP Based on the ASV Concept
Version: 0.0.6
Authors@R: c(person("Jiangshan", "Lai", , "lai@njfu.edu.cn", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-0279-8816")),person("Yao", "Liu", role="aut"),person("Bangken", "Ying", role="aut"))
Maintainer: Jiangshan Lai <lai@njfu.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 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>".
URL: https://github.com/laijiangshan/upset.hp
Depends: R (>= 3.6.0)
Imports: MuMIn, vegan, glmm.hp, ggplot2, patchwork, grDevices
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.3.1
Date: 2026-04-20
NeedsCompilation: no
Packaged: 2026-04-20 14:33:26 UTC; lai
Author: Jiangshan Lai [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0279-8816>),
  Yao Liu [aut],
  Bangken Ying [aut]
Repository: CRAN
Date/Publication: 2026-04-20 15:00:02 UTC
Built: R 4.5.2; ; 2026-04-20 23:35:05 UTC; unix
