stepPenal
Stepwise Forward Variable Selection in Penalized Regression
Model Selection Based on Combined Penalties. This package implements a stepwise forward variable selection algorithm based on a penalized likelihood criterion that combines the L0 with L2 or L1 norms.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2 |
rolling linux/jammy R-4.5 | stepPenal_0.2.tar.gz |
77.4 KiB |
0.2 |
rolling linux/noble R-4.5 | stepPenal_0.2.tar.gz |
77.5 KiB |
0.2 |
rolling source/ R- | stepPenal_0.2.tar.gz |
12.1 KiB |
0.2 |
latest linux/jammy R-4.5 | stepPenal_0.2.tar.gz |
77.4 KiB |
0.2 |
latest linux/noble R-4.5 | stepPenal_0.2.tar.gz |
77.5 KiB |
0.2 |
latest source/ R- | stepPenal_0.2.tar.gz |
12.1 KiB |
0.2 |
2026-04-26 source/ R- | stepPenal_0.2.tar.gz |
12.1 KiB |
0.2 |
2026-04-23 source/ R- | stepPenal_0.2.tar.gz |
12.1 KiB |
0.2 |
2026-04-09 windows/windows R-4.5 | stepPenal_0.2.zip |
80.2 KiB |
0.2 |
2025-04-20 source/ R- | stepPenal_0.2.tar.gz |
12.1 KiB |