do.random.partition     Random partition of the data
do.stratified.cv.data   Construction of random folds for
                        cross-validation
do.stratified.cv.data.from.folds
                        Construction of folds for cross-validation from
                        predefined folds
hyperSMURF-package      Hyper-Ensemble Smote Undersampled Random
                        Forests
hyperSMURF.corr.cv.parallel
                        hyperSMURF cross-validation with embedded
                        correlation-based feature selection
hyperSMURF.cv           hyperSMURF cross-validation
hyperSMURF.cv.parallel
                        hyperSMURF cross-validation - parallel
                        implementation
hyperSMURF.test         Test of a hyperSMURF model
hyperSMURF.test.parallel
                        Test of a hyperSMURF model - parallel version
hyperSMURF.test.thresh
                        Test of a thresholded hyperSMURF model
hyperSMURF.train        hyperSMURF training
hyperSMURF.train.parallel
                        hyperSMURF training - parallel version
imbalanced.data.generator
                        Synthetic imbalanced data generator
smote                   SMOTE oversampling
smote_and_undersample   SMOTE oversampling and undersampling
