RRF v1.7

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

Date 2017-1-25
License GPL (>= 2)
URL https://sites.google.com/site/houtaodeng/rrf
Repository CRAN
Date/Publication 2017-01-26 12:08:05
Packaged 2017-01-26 05:10:51 UTC; houtao
NeedsCompilation yes
RoxygenNote 5.0.1

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