Wrapper Algorithm for All Relevant Feature Selection

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Documentation for package ‘Boruta’ version 10.0.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS

Help Pages

attStats	Extract attribute statistics
Boruta	Feature selection with the Boruta algorithm
Boruta.default	Feature selection with the Boruta algorithm
Boruta.formula	Feature selection with the Boruta algorithm
conditionalTransdapter	Conditional transdapter
decohereTransdapter	Decohere transdapter
getConfirmedFormula	Export Boruta result as a formula
getImFruRaw	Fru Random Forest importance adapters
getImpFerns	Random Ferns importance
getImpFru	Fru Random Forest importance adapters
getImpFruRaw	Fru Random Forest importance adapters
getImpFruZ	Fru Random Forest importance adapters
getImpLegacyRf	randomForest importance adapters
getImpLegacyRfGini	randomForest importance adapters
getImpLegacyRfRaw	randomForest importance adapters
getImpLegacyRfZ	randomForest importance adapters
getImpRf	Ranger Random Forest importance adapters
getImpRfGini	Ranger Random Forest importance adapters
getImpRfRaw	Ranger Random Forest importance adapters
getImpRfZ	Ranger Random Forest importance adapters
getLegacyImpRfRaw	randomForest importance adapters
getNonRejectedFormula	Export Boruta result as a formula
getSelectedAttributes	Extract names of the selected attributes
imputeTransdapter	Impute transdapter
plot.Boruta	Plot Boruta object
plotImpHistory	Plot Boruta object as importance history
print.Boruta	Print Boruta object
srx	Small redundant XOR data
TentativeRoughFix	Rough fix of Tentative attributes