Regularized Random Forest

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Documentation for package ‘RRF’ version 1.9.4

• DESCRIPTION file.
• Package NEWS.

Help Pages

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