randomForest v4.5-35

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

Date 2010-05-04
License GPL (>= 2)
URL http://stat-www.berkeley.edu/users/breiman/RandomForests
Packaged 2010-06-21 01:39:37 UTC; liawand
Repository CRAN
Date/Publication 2010-06-21 08:03:51

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