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randomForest (version 4.5-33)
Breiman and Cutler's random forests for classification and regression
Description
Classification and regression based on a forest of trees using random inputs.
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Install
install.packages('randomForest')
Monthly Downloads
93,657
Version
4.5-33
License
GPL (>= 2)
Maintainer
Andy Liaw
Last Published
October 18th, 2009
Functions in randomForest (4.5-33)
Search all functions
plot.randomForest
Plot method for randomForest objects
classCenter
Prototypes of groups.
combine
Combine Ensembles of Trees
partialPlot
Partial dependence plot
rfNews
Show the NEWS file
tuneRF
Tune randomForest for the optimal mtry parameter
na.roughfix
Rough Imputation of Missing Values
treesize
Size of trees in an ensemble
margin
Margins of randomForest Classifier
rfImpute
Missing Value Imputations by randomForest
MDSplot
Multi-dimensional Scaling Plot of Proximity matrix from randomForest
varUsed
Variables used in a random forest
varImpPlot
Variable Importance Plot
importance
Extract variable importance measure
getTree
Extract a single tree from a forest.
imports85
The Automobile Data
grow
Add trees to an ensemble
outlier
Compute outlying measures
randomForest
Classification and Regression with Random Forest
predict.randomForest
predict method for random forest objects