randomForest v4.5-36

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

Date 2010-07-15
License GPL (>= 2)
URL http://stat-www.berkeley.edu/users/breiman/RandomForests
Packaged 2010-07-15 17:11:59 UTC; liawand
Repository CRAN
Date/Publication 2010-07-25 11:06:32

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