randomForest v4.5-27


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


Date 2008-09-12
License GPL version 2 or later
URL http://stat-www.berkeley.edu/users/breiman/RandomForests
Packaged Fri Sep 12 14:43:52 2008; Liawand

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