randomForest v4.5-28

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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
na.roughfix Rough Imputation of Missing Values
rfNews Show the NEWS file
varImpPlot Variable Importance Plot
varUsed Variables used in a random forest
treesize Size of trees in an ensemble
plot.randomForest Plot method for randomForest objects
outlier Compute outlying measures
grow Add trees to an ensemble
imports85 The Automobile Data
classCenter Prototypes of groups.
importance Extract variable importance measure
getTree Extract a single tree from a forest.
predict.randomForest predict method for random forest objects
rfImpute Missing Value Imputations by randomForest
tuneRF Tune randomForest for the optimal mtry parameter
margin Margins of randomForest Classifier
randomForest Classification and Regression with Random Forest
partialPlot Partial dependence plot
combine Combine Ensembles of Trees
MDSplot Multi-dimensional Scaling Plot of Proximity matrix from randomForest
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Date 2008-10-16
License GPL version 2 or later
URL http://stat-www.berkeley.edu/users/breiman/RandomForests
Packaged Thu Oct 16 14:24:20 2008; Liawand

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