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RRF

Regularized Random Forest

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.

Functions (21)

MDSplot

Multi-dimensional Scaling Plot of Proximity matrix from RRF

RRF

Feature Selection with Regularized Random Forest

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

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

rrfImpute

Missing Value Imputations by RRF

rrfNews

Show the NEWS file

rrfcv

Random Forest Cross-Valdidation for feature selection

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

RRF

Regularized Random Forest

v1.9.1
GPL (>= 2)
Authors
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.
Initial release
2018-07-16

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