randomForest v4.6-14


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Breiman and Cutler's Random Forests for Classification and Regression

Classification and regression based on a forest of trees using random inputs, based on Breiman (2001) <DOI:10.1023/A:1010933404324>.

Functions in randomForest

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


Date 2018-03-22
License GPL (>= 2)
URL https://www.stat.berkeley.edu/~breiman/RandomForests/
NeedsCompilation yes
Packaged 2018-03-22 14:27:01 UTC; liawand
Repository CRAN
Date/Publication 2018-03-25 15:00:24 UTC

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