RRF
Regularized Random Forest
Feature Selection with Regularized Random Forest. This package is based on the 'randomForest' package by Andy Liaw. The key difference is the RRF() function that builds a regularized random forest. Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener, Regularized random forest for classification by Houtao Deng, Regularized random forest for regression by Xin Guan. Reference: Houtao Deng (2013) <doi:10.48550/arXiv.1306.0237>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.9.4.1 |
rolling linux/jammy R-4.5 | RRF_1.9.4.1.tar.gz |
201.8 KiB |
1.9.4.1 |
rolling linux/noble R-4.5 | RRF_1.9.4.1.tar.gz |
201.7 KiB |
1.9.4.1 |
rolling source/ R- | RRF_1.9.4.1.tar.gz |
72.4 KiB |
1.9.4.1 |
latest linux/jammy R-4.5 | RRF_1.9.4.1.tar.gz |
201.8 KiB |
1.9.4.1 |
latest linux/noble R-4.5 | RRF_1.9.4.1.tar.gz |
201.7 KiB |
1.9.4.1 |
latest source/ R- | RRF_1.9.4.1.tar.gz |
72.4 KiB |
1.9.4.1 |
2026-04-26 source/ R- | RRF_1.9.4.1.tar.gz |
72.4 KiB |
1.9.4.1 |
2026-04-23 source/ R- | RRF_1.9.4.1.tar.gz |
72.4 KiB |
1.9.4.1 |
2026-04-09 windows/windows R-4.5 | RRF_1.9.4.1.zip |
208.4 KiB |
1.9.4.1 |
2025-04-20 source/ R- | RRF_1.9.4.1.tar.gz |
72.4 KiB |