Man pages for iRF
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 |
| RIT | Random Intersection Trees |
| 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 |
