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.


News

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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install.packages("RRF")

1.9 by Houtao Deng, a year ago


https://sites.google.com/site/houtaodeng/rrf


Browse source code at https://github.com/cran/RRF


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