arulesCBA2arcCBAModel   arulesCBA2arcCBAModel Converts a model created
                        by 'arulesCBA' so that it can be passed to qCBA
benchmarkQCBA           Learn and evaluate QCBA postprocessing on
                        multiple rule learners.  This can be, for
                        example, used to automatically select the best
                        model for a given use case based on a combined
                        preference for accuracy and model size.
customCBARuleModel-class
                        customCBARuleModel
getConfVectorForROC     Returns vector with confidences for the
                        positive class (useful for ROC or AUC
                        computation)
mapDataTypes            Map R types to qCBA
predict.qCBARuleModel   Aplies qCBARuleModel
qCBARuleModel-class     QCBA Rule Model
qcba                    qCBA Quantitative CBA
qcbaHumTemp             Use the HumTemp dataset to test the one rule
                        classification QCBA workflow.
qcbaIris                Use the iris dataset to the test QCBA workflow.
qcbaIris2               Use the Iris dataset to test the experimental
                        multi-rule QCBA workflow.
rcbaModel2CBARuleModel
                        rcbaModel2arcCBARuleModel Converts a model
                        created by 'rCBA' so that it can be passed to
                        qCBA
sbrlModel2arcCBARuleModel
                        sbrlModel2arcCBARuleModel Converts a model
                        created by 'sbrl' so that it can be passed to
                        qCBA
