PPSFS
Partial Profile Score Feature Selection in High-Dimensional Generalized Linear Interaction Models
This is an implementation of the partial profile score feature selection (PPSFS) approach to generalized linear (interaction) models. The PPSFS is highly scalable even for ultra-high-dimensional feature space. See the paper by Xu, Luo and Chen (2022, <doi:10.4310/21-SII706>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | PPSFS_0.1.3.tar.gz |
70.5 KiB |
0.1.3 |
rolling linux/noble R-4.5 | PPSFS_0.1.3.tar.gz |
71.5 KiB |
0.1.3 |
rolling source/ R- | PPSFS_0.1.3.tar.gz |
7.9 KiB |
0.1.3 |
latest linux/jammy R-4.5 | PPSFS_0.1.3.tar.gz |
70.5 KiB |
0.1.3 |
latest linux/noble R-4.5 | PPSFS_0.1.3.tar.gz |
71.5 KiB |
0.1.3 |
latest source/ R- | PPSFS_0.1.3.tar.gz |
7.9 KiB |
0.1.3 |
2026-04-26 source/ R- | PPSFS_0.1.3.tar.gz |
7.9 KiB |
0.1.3 |
2026-04-23 source/ R- | PPSFS_0.1.3.tar.gz |
7.9 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | PPSFS_0.1.1.zip |
384.9 KiB |
0.1.0 |
2025-04-20 source/ R- | PPSFS_0.1.0.tar.gz |
12.4 KiB |