randomForest v4.6-7

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

Date 2012-10-16
License GPL (>= 2)
URL http://stat-www.berkeley.edu/users/breiman/RandomForests
Packaged 2012-10-16 12:55:49 UTC; Liawand
Repository CRAN
Date/Publication 2012-10-16 13:43:29

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