# Breiman and Cutlers Random Forests for Classification and Regression

## Documentation for package ‘randomForest’ version 4.7-1.2

- DESCRIPTION file
- Package NEWS

## Help Pages

classCenter | Prototypes of groups.
combine | Combine Ensembles of Trees
getTree | Extract a single tree from a forest.
grow | Add trees to an ensemble
grow.default | Add trees to an ensemble
grow.randomForest | Add trees to an ensemble
importance | Extract variable importance measure
importance.default | Extract variable importance measure
importance.randomForest | Extract variable importance measure
imports85 | The Automobile Data
margin | Margins of randomForest Classifier
margin.default | Margins of randomForest Classifier
margin.randomForest | Margins of randomForest Classifier
MDSplot | Multi-dimensional Scaling Plot of Proximity matrix from randomForest
na.roughfix | Rough Imputation of Missing Values
na.roughfix.data.frame | Rough Imputation of Missing Values
na.roughfix.default | Rough Imputation of Missing Values
outlier | Compute outlying measures
outlier.default | Compute outlying measures
outlier.randomForest | Compute outlying measures
partialPlot | Partial dependence plot
partialPlot.default | Partial dependence plot
partialPlot.randomForest | 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
randomForest.default | Classification and Regression with Random Forest
randomForest.formula | Classification and Regression with Random Forest
rfcv | Random Forest Cross-Valdidation for feature selection
rfImpute | Missing Value Imputations by randomForest
rfImpute.default | Missing Value Imputations by randomForest
rfImpute.formula | 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