RRF v1.9.1

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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 in RRF

Name Description
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
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Details

Date 2018-07-16
License GPL (>= 2)
URL https://sites.google.com/site/houtaodeng/rrf
Repository CRAN
Date/Publication 2019-07-02 15:37:59
Packaged 2019-07-02 13:35:50 UTC; ripley
NeedsCompilation yes
RoxygenNote 5.0.1

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