R: Association Rule Classification

# Association Rule Classification

## Documentation for package ‘arc’ version 1.4.2

- DESCRIPTION file
- Package NEWS

## Help Pages

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