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