| extract.rules | Extract Interpretable Decision Rules from a Random Forest... |
| importance | Variable Importance Index for Each Predictor |
| pair | Transform Continuous Variables into Ranked Binary Pairs |
| predict | Prediction or Extract Predicted Values for Random Forest,... |
| ranktreeEnsemble-package | Ensemble Models of Rank-Based Trees for Single Sample... |
| rboost | Generalized Boosted Modeling via Rank-Based Trees for Single... |
| rforest | Random Forest via Rank-Based Trees for Single Sample... |
| select.rules | Select Decision Rules to Achieve Higher Prediction Accuracy |
| tnbc | Gene expression profiles in triple-negative breast cancer... |
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