| arulesCBA-package | arulesCBA: Classification Based on Association Rules | 
| accuracy | Model Prediction for Classifiers Based on Association Rules | 
| C4.5_CBA | CBA classifiers based on rule-based classifiers in RWeka | 
| CBA | Classification Based on Association Rules Algorithm (CBA) | 
| CBA_helpers | Helper Functions For Dealing with Classes | 
| CBA_ruleset | Constructor for Objects for Classifiers Based on Association Rules | 
| classes | Helper Functions For Dealing with Classes | 
| classFrequency | Helper Functions For Dealing with Classes | 
| CMAR | Interface to the LUCS-KDD Implementations of CMAR, PRM and CPAR | 
| CPAR | Interface to the LUCS-KDD Implementations of CMAR, PRM and CPAR | 
| discretize | Supervised Methods to Convert Continuous Variables into Categorical Variables | 
| discretizeDF.supervised | Supervised Methods to Convert Continuous Variables into Categorical Variables | 
| FOIL | Use FOIL to learn a rule set for classification | 
| foil | Use FOIL to learn a rule set for classification | 
| FOIL2 | Interface to the LUCS-KDD Implementations of CMAR, PRM and CPAR | 
| LUCS_KDD_CBA | Interface to the LUCS-KDD Implementations of CMAR, PRM and CPAR | 
| Lymphography | The Lymphography Domain Data Set (UCI) | 
| majorityClass | Helper Functions For Dealing with Classes | 
| mineCARs | Mine Class Association Rules | 
| Mushroom | The Mushroom Data Set (UCI) | 
| PART_CBA | CBA classifiers based on rule-based classifiers in RWeka | 
| predict | Model Prediction for Classifiers Based on Association Rules | 
| predict.CBA | Model Prediction for Classifiers Based on Association Rules | 
| prepareTransactions | Prepare Data for Associative Classification | 
| PRM | Interface to the LUCS-KDD Implementations of CMAR, PRM and CPAR | 
| pruneCBA_M1 | Classification Based on Association Rules Algorithm (CBA) | 
| pruneCBA_M2 | Classification Based on Association Rules Algorithm (CBA) | 
| RCAR | Regularized Class Association Rules for Multi-class Problems (RCAR+) | 
| rcar | Regularized Class Association Rules for Multi-class Problems (RCAR+) | 
| response | Helper Functions For Dealing with Classes | 
| RIPPER_CBA | CBA classifiers based on rule-based classifiers in RWeka | 
| RWeka_CBA | CBA classifiers based on rule-based classifiers in RWeka | 
| transactionCoverage | Helper Functions For Dealing with Classes | 
| transactions2DF | Convert Transactions to a Data.Frame | 
| uncoveredClassExamples | Helper Functions For Dealing with Classes | 
| uncoveredMajorityClass | Helper Functions For Dealing with Classes |