gam.hp
Hierarchical Partitioning of Adjusted R2 and Explained Deviance for Generalized Additive Models
Conducts hierarchical partitioning to calculate individual contributions of each predictor towards adjusted R2 and explained deviance for generalized additive models based on output of 'gam()' and 'bam()' in 'mgcv' package, applying the algorithm in this paper: Lai(2024) <doi:10.1016/j.pld.2024.06.002>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0-5 |
rolling source/ R- | gam.hp_0.0-5.tar.gz |
8.8 KiB |
0.0-5 |
rolling linux/jammy R-4.5 | gam.hp_0.0-5.tar.gz |
46.8 KiB |
0.0-5 |
latest source/ R- | gam.hp_0.0-5.tar.gz |
8.8 KiB |
0.0-5 |
latest linux/jammy R-4.5 | gam.hp_0.0-5.tar.gz |
46.8 KiB |
0.0-5 |
2026-04-23 source/ R- | gam.hp_0.0-5.tar.gz |
8.8 KiB |
0.0-5 |
2026-04-09 windows/windows R-4.5 | gam.hp_0.0-5.zip |
49.5 KiB |
0.0-3 |
2025-04-20 source/ R- | gam.hp_0.0-3.tar.gz |
8.8 KiB |