Man pages for sumbose/iRF
Iterative Random Forests
| classCenter | Prototypes of groups. |
| combine | Combine Ensembles of Trees |
| conditionalPred | Evaluates interaction importance using conditional prediction |
| getTree | Extract a single tree from a forest. |
| gRIT | Generalized random intersection trees |
| grow | Add trees to an ensemble |
| grow.randomForest | Grow random forest |
| importance | Extract variable importance measure |
| importance.randomForest | Importance method for random forest |
| imports85 | The Automobile Data |
| interactPredict | Predict interaction |
| iRF | Iterative random forests (iRF) |
| margin | Margins of randomForest Classifier |
| margin.randomForest | Random forest margin |
| MDSplot | Multi-dimensional Scaling Plot of Proximity matrix from... |
| na.roughfix | Rough Imputation of Missing Values |
| na.roughfix.data.frame | NA rough fix data frame |
| na.roughfix.default | NA rough fix default |
| outlier | Compute outlying measures |
| outlier.default | Default outlier |
| outlier.randomForest | Random forest outlier |
| permImportance | Evaluates interaction importance thhrough permutation |
| plotInt | Plot interaction |
| plot.margin | Plot margin |
| plot.randomForest | Plot method for randomForest objects |
| predict.randomForest | predict method for random forest objects |
| print.randomForest | Print random forest |
| randomForest | Classification and Regression with Random Forest |
| randomForest.default | Random forest default function |
| randomForest.formula | Random forest formula |
| readForest | Read forest |
| rfcv | Random Forest Cross-Valdidation for feature selection |
| rfImpute | Missing Value Imputations by randomForest |
| rfImpute.default | Random forest impute default |
| rfImpute.formula | Random forest impute formula |
| rfNews | Show the NEWS file |
| RIT | Random Intersection Trees |
| stabilityScore | Stability score |
| 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 |
