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RRF (version 1.9.3)

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. Fortran 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. Reference: Houtao Deng (2013) .

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Version

Install

install.packages('RRF')

Monthly Downloads

1,781

Version

1.9.3

License

GPL (>= 2)

Maintainer

Houtao Deng

Last Published

February 24th, 2022

Functions in RRF (1.9.3)

MDSplot

Multi-dimensional Scaling Plot of Proximity matrix from RRF
RRF

Feature Selection with Regularized Random Forest
na.roughfix

Rough Imputation of Missing Values
imports85

The Automobile Data
margin

Margins of RRF Classifier
combine

Combine Ensembles of Trees
getTree

Extract a single tree from a forest.
classCenter

Prototypes of groups.
plot.RRF

Plot method for RRF objects
grow

Add trees to an ensemble
importance

Extract variable importance measure
rrfcv

Random Forest Cross-Valdidation for feature selection
varUsed

Variables used in a random forest
predict.RRF

predict method for random forest objects
rrfNews

Show the NEWS file
rrfImpute

Missing Value Imputations by RRF
outlier

Compute outlying measures
partialPlot

Partial dependence plot
treesize

Size of trees in an ensemble
varImpPlot

Variable Importance Plot
tuneRRF

Tune RRF for the optimal mtry parameter