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 |
margin | Margins of randomForest Classifier |
MDSplot | Multi-dimensional Scaling Plot of Proximity matrix from randomForest |
na.roughfix | Rough Imputation of Missing Values |
outlier | Compute outlying measures |
partialPlot | Partial dependence plot |
plot.margin | Margins of randomForest Classifier |
plot.randomForest | Plot method for randomForest objects |
predict.randomForest | predict method for random forest objects |
print.randomForest | Classification and Regression with Random Forest |
randomForest | Classification and Regression with Random Forest |
rfImpute | Missing Value Imputations by randomForest |
rfNews | Show the NEWS file |
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 |