classCenter |
Prototypes of groups. |

combine |
Combine Ensembles of Trees |

getTree |
Extract a single tree from a forest. |

grow |
Add trees to an ensemble |

importance |
Extract variable importance measure |

imports85 |
The Automobile Data |

margin |
Margins of randomForest Classifier |

MDSplot |
Multi-dimensional Scaling Plot of Proximity matrix from randomForest |

na.roughfix |
Rough Imputation of Missing Values |

outlier |
Compute outlying measures |

partialPlot |
Partial dependence plot |

plot.margin |
Margins of randomForest Classifier |

plot.randomForest |
Plot method for randomForest objects |

predict.randomForest |
predict method for random forest objects |

print.randomForest |
Classification and Regression with Random Forest |

randomForest |
Classification and Regression with Random Forest |

rfImpute |
Missing Value Imputations by randomForest |

rfNews |
Show the NEWS file |

treesize |
Size of trees in an ensemble |

tuneRF |
Tune randomForest for the optimal mtry parameter |

varImpPlot |
Variable Importance Plot |

varUsed |
Variables used in a random forest |