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RRF (version 1.7)

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

1,854

Version

1.7

License

GPL (>= 2)

Maintainer

Houtao Deng

Last Published

January 26th, 2017

Functions in RRF (1.7)

classCenter

Prototypes of groups.
importance

Extract variable importance measure
margin

Margins of RRF Classifier
combine

Combine Ensembles of Trees
getTree

Extract a single tree from a forest.
na.roughfix

Rough Imputation of Missing Values
imports85

The Automobile Data
outlier

Compute outlying measures
rrfNews

Show the NEWS file
varUsed

Variables used in a random forest
tuneRRF

Tune RRF for the optimal mtry parameter
predict.RRF

predict method for random forest objects
RRF

Feature Selection with Regularized Random Forest
varImpPlot

Variable Importance Plot
treesize

Size of trees in an ensemble
rrfImpute

Missing Value Imputations by RRF
rrfcv

Random Forest Cross-Valdidation for feature selection
plot.RRF

Plot method for RRF objects
grow

Add trees to an ensemble
MDSplot

Multi-dimensional Scaling Plot of Proximity matrix from RRF
partialPlot

Partial dependence plot