| 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 |