randomForest v4.5-12

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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
predict.randomForest predict method for random forest objects
varUsed Variables used in a random forest
varImpPlot Variable Importance Plot
MDSplot Multi-dimensional Scaling Plot of Proximity matrix from randomForest
classCenter Prototypes of groups.
partialPlot Partial dependence plot
grow Add trees to an ensemble
combine Combine Ensembles of Trees
treesize Size of trees in an ensemble
na.roughfix Rough Imputation of Missing Values
rfNews Show the NEWS file
outlier Compute outlying measures
imports85 The Automobile Data
importance Extract variable importance measure
tuneRF Tune randomForest for the optimal mtry parameter
randomForest Classification and Regression with Random Forest
rfImpute Missing Value Imputations by randomForest
margin Margins of randomForest Classifier
getTree Extract a single tree from a forest.
plot.randomForest Plot method for randomForest objects
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Details

Date 2005-06-20
License GPL version 2 or later
URL http://stat-www.berkeley.edu/users/breiman/RandomForests
Packaged Mon Jun 20 22:02:03 2005; Liawand

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