iterative Random Forests

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 |

iRF | iteratively grows weighted random forests, finds stable... |

margin | Margins of randomForest Classifier |

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

na.roughfix | Rough Imputation of Missing Values |

outlier | Compute outlying measures |

partialPlot | Partial dependence plot |

partialPlot2var | creates 3-dimensional surface plots for bivariate partial... |

plot.randomForest | Plot method for randomForest objects |

predict.randomForest | predict method for random forest objects |

randomForest | Classification and Regression with Random Forest |

readForest | Pass data through a fitted forest, record node... |

rfcv | Random Forest Cross-Valdidation for feature selection |

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 |

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