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RRF (version 1.9)

Regularized Random Forest

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.

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Version

Install

install.packages('RRF')

Monthly Downloads

1,781

Version

1.9

License

GPL (>= 2)

Maintainer

Houtao Deng

Last Published

July 17th, 2018

Functions in RRF (1.9)

varUsed

Variables used in a random forest
treesize

Size of trees in an ensemble
varImpPlot

Variable Importance Plot
classCenter

Prototypes of groups.
margin

Margins of RRF Classifier
na.roughfix

Rough Imputation of Missing Values
importance

Extract variable importance measure
MDSplot

Multi-dimensional Scaling Plot of Proximity matrix from RRF
grow

Add trees to an ensemble
getTree

Extract a single tree from a forest.
RRF

Feature Selection with Regularized Random Forest
imports85

The Automobile Data
combine

Combine Ensembles of Trees
outlier

Compute outlying measures
partialPlot

Partial dependence plot
rrfImpute

Missing Value Imputations by RRF
tuneRRF

Tune RRF for the optimal mtry parameter
predict.RRF

predict method for random forest objects
plot.RRF

Plot method for RRF objects
rrfNews

Show the NEWS file
rrfcv

Random Forest Cross-Valdidation for feature selection