Prediction Rule Ensembles

bsnullinteract | Compute bootstrapped null interaction prediction rule... |

caret_pre_model | Model set up for train function of package caret |

carrillo | Data on personality characteristics and depressive symptom... |

coef.gpe | Coefficients for a General Prediction Ensemble (gpe) |

coef.pre | Coefficients for the final prediction rule ensemble |

corplot | Plot correlations between baselearners in a prediction rule... |

cvpre | Full k-fold cross validation of a prediction rule ensemble... |

explain | Explain predictions from final prediction rule ensemble |

gpe | Derive a General Prediction Ensemble (gpe) |

gpe_cv.glmnet | Default penalized trainer for gpe |

gpe_rules_pre | Get rule learner for gpe which mimics behavior of pre |

gpe_sample | Sampling Function Generator for gpe |

gpe_trees | Learner Functions Generators for gpe |

importance.pre | Calculate importances of baselearners and input variables in... |

interact | Calculate interaction statistics for variables in a... |

maxdepth_sampler | Sampling function generator for specifying varying maximum... |

pairplot | Create partial dependence plot for a pair of predictor... |

plot.pre | Plot method for class pre |

pre | Derive a prediction rule ensemble |

predict.gpe | Predicted values based on gpe ensemble |

predict.pre | Predicted values based on final prediction rule ensemble |

print.gpe | Print a General Prediction Ensemble (gpe) |

print.pre | Print method for objects of class pre |

rare_level_sampler | Dealing with rare factor levels in fitting prediction rule... |

rTerm | Wrapper Functions for terms in gpe |

singleplot | Create partial dependence plot for a single variable in a... |

summary.gpe | Summary method for a General Prediction Ensemble (gpe) |

summary.pre | Summary method for objects of class pre |

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