randomForest v4.6-3


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


Date 2011-12-16
License GPL (>= 2)
URL http://stat-www.berkeley.edu/users/breiman/RandomForests
Packaged 2011-12-16 15:30:37 UTC; liawand
Repository CRAN
Date/Publication 2011-12-16 19:08:19

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