RRF: Regularized Random Forest
Version 1.7

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.

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)
Version1.7
URL https://sites.google.com/site/houtaodeng/rrf
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("RRF")

Popular man pages

getTree: Extract a single tree from a forest.
grow: Add trees to an ensemble
importance: Extract variable importance measure
MDSplot: Multi-dimensional Scaling Plot of Proximity matrix from RRF
RRF: Feature Selection with Regularized Random Forest
tuneRRF: Tune RRF for the optimal mtry parameter
varImpPlot: Variable Importance Plot
See all...

All man pages Function index File listing

Man pages

classCenter: Prototypes of groups.
combine: Combine Ensembles of Trees
getTree: Extract a single tree from a forest.
grow: Add trees to an ensemble
importance: Extract variable importance measure
imports85: The Automobile Data
margin: Margins of RRF Classifier
MDSplot: Multi-dimensional Scaling Plot of Proximity matrix from RRF
na.roughfix: Rough Imputation of Missing Values
outlier: Compute outlying measures
partialPlot: Partial dependence plot
plot.RRF: Plot method for RRF objects
predict.RRF: predict method for random forest objects
RRF: Feature Selection with Regularized Random Forest
rrfcv: Random Forest Cross-Valdidation for feature selection
rrfImpute: Missing Value Imputations by RRF
rrfNews: Show the NEWS file
treesize: Size of trees in an ensemble
tuneRRF: Tune RRF for the optimal mtry parameter
varImpPlot: Variable Importance Plot
varUsed: Variables used in a random forest

Functions

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

Files

COPYING
inst
inst/CITATION
inst/NEWS
src
src/rf.h
src/regTree.c
src/rf.c
src/rfsub.f
src/classTree.c
src/regrf.c
src/rfutils.c
NAMESPACE
NEWS
data
data/imports85.rda
R
R/rrfNews.R
R/getTree.R
R/combine.R
R/partialPlot.R
R/varUsed.R
R/print.RRF.R
R/MDSplot.R
R/outlier.R
R/plot.RRF.R
R/tuneRRF.R
R/grow.R
R/na.roughfix.R
R/treesize.R
R/classCenter.R
R/varImpPlot.R
R/rrfcv.R
R/margin.R
R/RRF.default.R
R/RRF.formula.R
R/importance.R
R/zzz.R
R/rrfImpute.R
R/RRF.R
R/predict.RRF.R
MD5
DESCRIPTION
man
man/margin.Rd
man/combine.Rd
man/predict.RRF.Rd
man/varUsed.Rd
man/grow.Rd
man/getTree.Rd
man/rrfImpute.Rd
man/classCenter.Rd
man/RRF.Rd
man/MDSplot.Rd
man/outlier.Rd
man/partialPlot.Rd
man/na.roughfix.Rd
man/plot.RRF.Rd
man/imports85.Rd
man/varImpPlot.Rd
man/rrfNews.Rd
man/treesize.Rd
man/importance.Rd
man/tuneRRF.Rd
man/rrfcv.Rd
RRF documentation built on May 19, 2017, 9:53 p.m.

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