RRF v1.9

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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
varUsed Variables used in a random forest
treesize Size of trees in an ensemble
varImpPlot Variable Importance Plot
classCenter Prototypes of groups.
margin Margins of RRF Classifier
na.roughfix Rough Imputation of Missing Values
importance Extract variable importance measure
MDSplot Multi-dimensional Scaling Plot of Proximity matrix from RRF
grow Add trees to an ensemble
getTree Extract a single tree from a forest.
RRF Feature Selection with Regularized Random Forest
imports85 The Automobile Data
combine Combine Ensembles of Trees
outlier Compute outlying measures
partialPlot Partial dependence plot
rrfImpute Missing Value Imputations by RRF
tuneRRF Tune RRF for the optimal mtry parameter
predict.RRF predict method for random forest objects
plot.RRF Plot method for RRF objects
rrfNews Show the NEWS file
rrfcv Random Forest Cross-Valdidation for feature selection
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Details

Date 2018-07-16
License GPL (>= 2)
URL https://sites.google.com/site/houtaodeng/rrf
Repository CRAN
Date/Publication 2018-07-17 19:20:05 UTC
Packaged 2018-07-17 05:00:47 UTC; houtaodeng
NeedsCompilation yes
RoxygenNote 5.0.1

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