# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "upset.hp" in publications use:' type: software license: GPL-2.0-or-later title: 'upset.hp: Generate UpSet Plots of VP and HP Based on the ASV Concept' version: 0.0.4 doi: 10.32614/CRAN.package.upset.hp abstract: '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 ".' authors: - family-names: Lai given-names: Jiangshan email: lai@njfu.edu.cn orcid: https://orcid.org/0000-0002-0279-8816 - family-names: Liu given-names: Yao - family-names: Ying given-names: Bangken repository: https://laijiangshan.r-universe.dev repository-code: https://github.com/laijiangshan/upset.hp commit: 5d20501b68df8a975835bb4b039118233f1ffcd4 url: https://github.com/laijiangshan/upset.hp date-released: '2025-07-20' contact: - family-names: Lai given-names: Jiangshan email: lai@njfu.edu.cn orcid: https://orcid.org/0000-0002-0279-8816