| applyCut | Apply Cut Points to Vector |
| applyCuts | Apply Cut Points to Data Frame |
| cba | CBA Classifier |
| cbaCSV | Example CBA Workflow with CSV Input |
| cbaIris | Test CBA Workflow on Iris Dataset |
| cbaIrisNumeric | Test CBA Workflow on Iris Dataset with numeric target |
| CBARuleModel | CBARuleModel |
| CBARuleModel-class | CBARuleModel |
| CBARuleModelAccuracy | Prediction Accuracy |
| cba_manual | CBA Classifier from provided rules |
| discretizeUnsupervised | Unsupervised Discretization |
| discrNumeric | Discretize Numeric Columns In Data frame |
| getAppearance | Method that generates items for values in given data frame column. |
| getConfVectorForROC | Returns vector with confidences for the positive class (useful for ROC or AUC computation) |
| humtemp | Comfort level based on temperature and humidity of the environment |
| mdlp2 | Supervised Discretization |
| predict.CBARuleModel | Apply Rule Model |
| prune | Classifier Builder |
| topRules | Rule Generation |