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.

Install the latest version of this package by entering the following in R:
AuthorFortran 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.
Date of publication2017-01-26 12:08:05
MaintainerHoutao Deng <softwaredeng@gmail.com>
LicenseGPL (>= 2)

View on CRAN


classCenter Man page
combine Man page
getTree Man page
grow Man page
grow.default Man page
grow.RRF Man page
importance Man page
importance.default Man page
importance.RRF Man page
imports85 Man page
margin Man page
margin.default Man page
margin.RRF Man page
MDSplot Man page
na.roughfix Man page
na.roughfix.data.frame Man page
na.roughfix.default Man page
outlier Man page
outlier.default Man page
outlier.RRF Man page
partialPlot Man page
partialPlot.default Man page
partialPlot.RRF Man page
plot.margin Man page
plot.RRF Man page
predict.RRF Man page
print.RRF Man page
RRF Man page
rrfcv Man page
RRF.default Man page
RRF.formula Man page
rrfImpute Man page
rrfImpute.default Man page
rrfImpute.formula Man page
rrfNews Man page
treesize Man page
tuneRRF Man page
varImpPlot Man page
varUsed Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.