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 1.0

  • this is the first version of the RRF package.

Version 1.2

  • test up to sqrt(P) variables in addition to the selected variables

Version 1.3-1.4

  • Guided Random Forest

Version 1.5 - 1.6

  • add feaIni, so that one can pre-define features in the initial feature subset F
  • add feaSet - the final feature set F selected by RRF

Version 1.7

  • add feature selection for regression

Reference manual

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1.9.1 by Houtao Deng, 2 years ago

Browse source code at

Authors: 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.

Documentation:   PDF Manual  

GPL (>= 2) license

Depends on stats

Suggests RColorBrewer, MASS

Imported by KnowGRRF, inTrees.

Suggested by fscaret, mlr.

See at CRAN