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: 1.2
Depends: R (≥ 2.5.0), stats
Suggests: RColorBrewer, randomForest, MASS
Published: 2012-04-09
Author: Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener, Regularized random forest by Houtao Deng.
Maintainer: Houtao Deng <softwaredeng at gmail.com>
License: GPL (≥ 2)
URL: http://enpub.fulton.asu.edu/hdeng3/RRF.htm
Citation: RRF citation info
CRAN checks: RRF results

Downloads:

Package source: RRF_1.2.tar.gz
MacOS X binary: RRF_1.2.tgz
Windows binary: RRF_1.2.zip
Reference manual: RRF.pdf
News/ChangeLog:NEWS
Old sources: RRF archive

Reverse dependencies:

Reverse suggests: caret