upset.hp
Generate UpSet Plots of VP and HP Based on the ASV Concept
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>".
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.6 |
rolling linux/jammy R-4.5 | upset.hp_0.0.6.tar.gz |
34.2 KiB |
0.0.6 |
rolling linux/noble R-4.5 | upset.hp_0.0.6.tar.gz |
34.2 KiB |
0.0.6 |
rolling source/ R- | upset.hp_0.0.6.tar.gz |
6.6 KiB |
0.0.6 |
latest linux/jammy R-4.5 | upset.hp_0.0.6.tar.gz |
34.2 KiB |
0.0.6 |
latest linux/noble R-4.5 | upset.hp_0.0.6.tar.gz |
34.2 KiB |
0.0.6 |
latest source/ R- | upset.hp_0.0.6.tar.gz |
6.6 KiB |
0.0.6 |
2026-04-26 source/ R- | upset.hp_0.0.6.tar.gz |
6.6 KiB |
0.0.6 |
2026-04-23 source/ R- | upset.hp_0.0.6.tar.gz |
6.6 KiB |
0.0.5 |
2026-04-09 windows/windows R-4.5 | upset.hp_0.0.5.zip |
37.0 KiB |