A Toolbox for Conditional Inference Random Forests

BivariateAssoc | Bivariate association measures for supervised learning tasks. |

fastcforest | Parallelized conditional inference random forest |

fastvarImp | Variable importance for conditional inference random forests |

fastvarImpAUC | Variable importance (with AUC performance measure) for... |

FeatureSelection | Feature selection for conditional random forests. |

GetAleData | Accumulated Local Effects for a conditional random forest. |

GetCtree | Gets a tree from a conditional random forest |

GetInteractionStrength | Strength of interactions |

GetPartialData | Partial dependence for a conditional random forest. |

GetSplitStats | Permutation tests results for each split in a conditional... |

ggForestEffects | Dot plot of covariates effects |

ggVarImp | Dot plot of variable importance |

Outliers | Computes outliers |

Prototypes | Prototypes of groups |

SurrogateTree | Surrogate tree for conditional inference random forests |

titanic | Titanic dataset |

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