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.

Version: 1.7
Depends: R (≥ 2.5.0), stats
Suggests: RColorBrewer, MASS
Published: 2017-01-26
Author: 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.
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.pdf
Package source: RRF_1.7.tar.gz
Windows binaries: r-devel: RRF_1.7.zip, r-release: RRF_1.7.zip, r-oldrel: RRF_1.7.zip
OS X Mavericks binaries: r-release: RRF_1.7.tgz, r-oldrel: RRF_1.7.tgz
Old sources: RRF archive

Reverse dependencies:

Reverse imports: inTrees
Reverse suggests: fscaret, mlr


Please use the canonical form https://CRAN.R-project.org/package=RRF to link to this page.