randomForest v4.6-6

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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
randomForest Classification and Regression with Random Forest
MDSplot Multi-dimensional Scaling Plot of Proximity matrix from randomForest
margin Margins of randomForest Classifier
varImpPlot Variable Importance Plot
na.roughfix Rough Imputation of Missing Values
outlier Compute outlying measures
predict.randomForest predict method for random forest objects
treesize Size of trees in an ensemble
rfImpute Missing Value Imputations by randomForest
plot.randomForest Plot method for randomForest objects
combine Combine Ensembles of Trees
classCenter Prototypes of groups.
imports85 The Automobile Data
getTree Extract a single tree from a forest.
rfNews Show the NEWS file
rfcv Random Forest Cross-Valdidation for feature selection
varUsed Variables used in a random forest
partialPlot Partial dependence plot
importance Extract variable importance measure
tuneRF Tune randomForest for the optimal mtry parameter
grow Add trees to an ensemble
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Date 2012-01-06
License GPL (>= 2)
URL http://stat-www.berkeley.edu/users/breiman/RandomForests
Packaged 2012-01-06 14:15:31 UTC; liawand
Repository CRAN
Date/Publication 2012-01-06 20:58:31

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