# randomForest v4.0-7

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by Andy Liaw

## Breiman's random forest for classification and regression

Classification and regression based on a forest of trees using random inputs.

## Functions in randomForest

Name | Description | |

predict.randomForest | predict method for random forest objects | |

rfImpute | Missing Value Imputations by randomForest | |

randomForest | Classification and Regression with Random Forest | |

getTree | Extract a single tree from a forest. | |

partial.plot | Partial dependence plot | |

grow | Add trees to an ensemble | |

importance | Extract variable importance measure | |

na.roughfix | Rough Imputation of Missing Values | |

var.imp.plot | Variable Importance Plot | |

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

treesize | Size of trees in an ensemble | |

tuneRF | Tune randomForest for the optimal mtry parameter | |

var.used | Variables used in a random forest | |

plot.randomForest | Plot method for randomForest objects | |

combine | Combine Ensembles of Trees | |

margin | Margins of randomForest Classifier | |

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## Details

Date | 2004/01/09 |

License | GPL version 2 or later |

Packaged | Fri Jan 9 13:04:32 2004; andy |

depends | base (>= 1.7.0) , R (>= 1.7.0) |

Contributors | Fortran by Leo Breiman, Adele Cutler, R by Andy Liaw, Matthew Wiener |

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