Quantitative Classification by Association Rules
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘qCBA’ version 0.5.1
Help Pages
| arulesCBA2arcCBAModel | arulesCBA2arcCBAModel Converts a model created by 'arulesCBA' so that it can be passed to qCBA |
| customCBARuleModel | rCBARuleModel |
| customCBARuleModel-class | rCBARuleModel |
| 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 |
| 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. |
| qCBARuleModel | qCBARuleModel |
| qCBARuleModel-class | qCBARuleModel |
| 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 |