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>.
| Version: | 1.9.4.1 |
| Depends: | R (≥ 2.5.0), stats |
| Suggests: | RColorBrewer,MASS |
| Published: | 2024-11-04 |
| DOI: | 10.32614/CRAN.package.RRF |
| Author: | Houtao Deng [aut, cre], Xin Guan [aut], Andy Liaw [aut], Leo Breiman [aut], Adele Cutler [aut] |
| Maintainer: | Houtao Deng <softwaredeng at gmail.com> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://sites.google.com/site/houtaodeng/rrf |
| NeedsCompilation: | yes |
| Citation: | RRF citation info |
| Materials: | NEWS |
| CRAN checks: | RRF results |
| Reference manual: | RRF.html ,RRF.pdf |
| Package source: | RRF_1.9.4.1.tar.gz |
| Windows binaries: | r-devel:RRF_1.9.4.1.zip, r-release:RRF_1.9.4.1.zip, r-oldrel:RRF_1.9.4.1.zip |
| macOS binaries: | r-release (arm64):RRF_1.9.4.1.tgz, r-oldrel (arm64):RRF_1.9.4.1.tgz, r-release (x86_64):RRF_1.9.4.1.tgz, r-oldrel (x86_64):RRF_1.9.4.1.tgz |
| Old sources: | RRF archive |
| Reverse imports: | CRE,inTrees,riAFTBART |
| Reverse suggests: | mlr |
Please use the canonical formhttps://CRAN.R-project.org/package=RRFto link to this page.