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RRF  

Regularized Random Forest
View on CRAN: Click here


Download and install RRF package within the R console
Install from CRAN:
install.packages("RRF")

Install from Github:
library("remotes")
install_github("cran/RRF")

Install by package version:
library("remotes")
install_version("RRF", "1.9.4.1")



Attach the package and use:
library("RRF")
Maintained by
Houtao Deng
[Scholar Profile | Author Map]
First Published: 2011-11-18
Latest Update: 2022-05-30
Description:
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) .
How to cite:
Houtao Deng (2011). RRF: Regularized Random Forest. R package version 1.9.4.1, https://cran.r-project.org/web/packages/RRF. Accessed 07 Apr. 2025.
Previous versions and publish date:
1.0 (2011-11-18 04:56), 1.1 (2012-01-10 09:30), 1.2 (2012-04-09 07:31), 1.4 (2013-01-07 19:30), 1.5 (2013-09-30 14:28), 1.6 (2013-10-20 00:34), 1.7 (2017-01-26 12:08), 1.8 (2018-06-30 08:27), 1.9.1 (2019-07-02 15:37), 1.9.3 (2022-02-24 12:20), 1.9.4 (2022-05-30 21:50), 1.9 (2018-07-17 21:20)
Other packages that cited RRF R package
View RRF citation profile
Other R packages that RRF depends, imports, suggests or enhances
Complete documentation for RRF
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