randomForest v4.5-21

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

Date 2007-11-27
License GPL version 2 or later
URL http://stat-www.berkeley.edu/users/breiman/RandomForests
Packaged Tue Nov 27 09:09:59 2007; liawand

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