| add_dummy | Additional logical Predictor |
| add_dummy_partition | Additional logical Predictor via Repeated Partitioning |
| add_numeric | Additional Predictor as numeric |
| get_cutoff | Get Cutoff Value from a Dichotomizing Rule 'node1()' |
| labels.add_dummy | labels.add_dummy |
| labels.add_numeric | labels.add_numeric |
| labels.node1 | Find labels from node1 |
| maxEff-package | maxEff: Additional Predictor with Maximum Effect Size |
| node1 | Dichotomize via 1st Node of Recursive Partitioning |
| predict_add_dummy | Regression Models with Optimal Dichotomizing Predictors |
| predict_add_numeric | Regression Models with Optimal Dichotomizing Predictors |
| predict.node1 | Predict by 'node1()' |
| print.add_dummy | print.add_dummy |
| print.add_numeric | print.add_numeric |
| sort_by.add_ | sort_by.add_ |
| splitd | Split-Dichotomized Regression Model |
| statusPartition | Stratified Partition |
| subset.add_dummy | S3 Method Dispatches to "add_dummy" Class |
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