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) <arXiv:1306.0237>.

Getting started

Package details

AuthorHoutao Deng [aut, cre], Xin Guan [aut], Andy Liaw [aut], Leo Breiman [aut], Adele Cutler [aut]
MaintainerHoutao Deng <softwaredeng@gmail.com>
LicenseGPL (>= 2)
Version1.9.4
URL https://sites.google.com/site/houtaodeng/rrf
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RRF")

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RRF documentation built on May 31, 2022, 1:05 a.m.