randomForest v4.6-12


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


Date 2015-10-06
License GPL (>= 2)
URL https://www.stat.berkeley.edu/~breiman/RandomForests/
NeedsCompilation yes
Packaged 2015-10-06 18:28:23 UTC; Liawand
Repository CRAN
Date/Publication 2015-10-07 08:38:34

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