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RRF (version 1.9.1)

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

1.9.1

License

GPL (>= 2)

Maintainer

Houtao Deng

Last Published

July 2nd, 2019

Functions in RRF (1.9.1)

classCenter

Prototypes of groups.
combine

Combine Ensembles of Trees
predict.RRF

predict method for random forest objects
plot.RRF

Plot method for RRF objects
varImpPlot

Variable Importance Plot
tuneRRF

Tune RRF for the optimal mtry parameter
rrfcv

Random Forest Cross-Valdidation for feature selection
treesize

Size of trees in an ensemble
outlier

Compute outlying measures
partialPlot

Partial dependence plot
rrfImpute

Missing Value Imputations by RRF
rrfNews

Show the NEWS file
varUsed

Variables used in a random forest
importance

Extract variable importance measure
na.roughfix

Rough Imputation of Missing Values
getTree

Extract a single tree from a forest.
MDSplot

Multi-dimensional Scaling Plot of Proximity matrix from RRF
margin

Margins of RRF Classifier
RRF

Feature Selection with Regularized Random Forest
imports85

The Automobile Data
grow

Add trees to an ensemble