# randomForest v4.5-6

0

Monthly downloads

by Andy Liaw

## Breiman and Cutler's random forests for classification and regression

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

## Functions in randomForest

Name | Description | |

importance | Extract variable importance measure | |

rfImpute | Missing Value Imputations by randomForest | |

na.roughfix | Rough Imputation of Missing Values | |

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

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

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

combine | Combine Ensembles of Trees | |

margin | Margins of randomForest Classifier | |

classCenter | Prototypes of groups. | |

rfNews | Show the NEWS file | |

imports85 | The Automobile Data | |

tuneRF | Tune randomForest for the optimal mtry parameter | |

varUsed | Variables used in a random forest | |

randomForest | Classification and Regression with Random Forest | |

varImpPlot | Variable Importance Plot | |

outlier | Compute outlying measures | |

partialPlot | Partial dependence plot | |

grow | Add trees to an ensemble | |

treesize | Size of trees in an ensemble | |

plot.randomForest | Plot method for randomForest objects | |

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## Last month downloads

## Details

Date | 2005-04-05 |

License | GPL version 2 or later |

URL | http://stat-www.berkeley.edu/users/breiman/RandomForests |

Packaged | Tue Apr 5 21:38:01 2005; Liawand |

depends | base (>= 1.8.1) , R (>= 1.8.1) |

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

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