| hyperSMURF-package | Hyper-Ensemble Smote Undersampled Random Forests |
| 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 | Hyper-Ensemble Smote Undersampled Random Forests |
| hyperSMURF.cv | hyperSMURF cross-validation |
| hyperSMURF.test | Test of a hyperSMURF model |
| hyperSMURF.test.thresh | Test of a thresholded hyperSMURF model |
| hyperSMURF.train | hyperSMURF training |
| imbalanced.data.generator | Synthetic imbalanced data generator |
| smote | SMOTE oversampling |
| smote_and_undersample | SMOTE oversampling and undersampling |