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 | |
| No Results! | ||
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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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