randomForest v4.5-6

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by Andy Liaw

Breiman and Cutler's random forests for classification and regression

Classification and regression based on a forest of trees using random inputs.

Functions in randomForest

Name Description
importance Extract variable importance measure
rfImpute Missing Value Imputations by randomForest
na.roughfix Rough Imputation of Missing Values
getTree Extract a single tree from a forest.
MDSplot Multi-dimensional Scaling Plot of Proximity matrix from randomForest
predict.randomForest predict method for random forest objects
combine Combine Ensembles of Trees
margin Margins of randomForest Classifier
classCenter Prototypes of groups.
rfNews Show the NEWS file
imports85 The Automobile Data
tuneRF Tune randomForest for the optimal mtry parameter
varUsed Variables used in a random forest
randomForest Classification and Regression with Random Forest
varImpPlot Variable Importance Plot
outlier Compute outlying measures
partialPlot Partial dependence plot
grow Add trees to an ensemble
treesize Size of trees in an ensemble
plot.randomForest Plot method for randomForest objects
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Date 2005-04-05
License GPL version 2 or later
URL http://stat-www.berkeley.edu/users/breiman/RandomForests
Packaged Tue Apr 5 21:38:01 2005; Liawand

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