upset.hp: An R Package for Visualizing Hierarchical Partitioning and Variance Partitioning Results Using UpSet Plots
Year: 2025
Type: article
Abstract: Traditional Venn diagrams become increasingly complex and difficult to interpret when visualizing the intersections of more than four variables or variable groups. The UpSet plot, a matrix-based, data-driven visualization technique, offers a scalable and more readable alternative for representing complex set intersections. The upset.hp R package, newly released in 2025, extends the capabilities of the previously developed UpSetVP package by providing a unified visualization tool compatible with the full suite of hp-series packages developed for hierarchical and variation partitioning, including rdacca.hp, glmm.hp, gam.hp, and phylolm.hp.
Source: Data Intelligence
Authors: Bangken Ying, Yao Liu, Jiangshan Lai
Institution: Xiamen University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4415649243