R: Wrapper Algorithm for All Relevant Feature Selection

# Wrapper Algorithm for All Relevant Feature Selection

## Documentation for package ‘Boruta’ version 9.0.0

- 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
getImpExtra | ranger Extra-trees importance adapters
getImpExtraGini | ranger Extra-trees importance adapters
getImpExtraRaw | ranger Extra-trees importance adapters
getImpExtraZ | ranger Extra-trees importance adapters
getImpFerns | Random Ferns importance
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
getImpXgboost | Xgboost importance
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