R: Ensemble Models of Rank-Based Trees with Extracted Decision Rules

# Ensemble Models of Rank-Based Trees with Extracted Decision Rules

## Documentation for package ‘ranktreeEnsemble’ version 0.24

- DESCRIPTION file
- Package NEWS

## Help Pages

ranktreeEnsemble-package | Ensemble Models of Rank-Based Trees for Single Sample Classification with Interpretable Rules
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
rforest.tree | 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