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randomForest (version 4.5-31)
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
4.5-31
License
GPL (>= 2)
Maintainer
Andy Liaw
Last Published
October 15th, 2009
Functions in randomForest (4.5-31)
Search all functions
MDSplot
Multi-dimensional Scaling Plot of Proximity matrix from randomForest
combine
Combine Ensembles of Trees
tuneRF
Tune randomForest for the optimal mtry parameter
varImpPlot
Variable Importance Plot
grow
Add trees to an ensemble
classCenter
Prototypes of groups.
varUsed
Variables used in a random forest
partialPlot
Partial dependence plot
treesize
Size of trees in an ensemble
rfImpute
Missing Value Imputations by randomForest
importance
Extract variable importance measure
na.roughfix
Rough Imputation of Missing Values
imports85
The Automobile Data
margin
Margins of randomForest Classifier
plot.randomForest
Plot method for randomForest objects
randomForest
Classification and Regression with Random Forest
outlier
Compute outlying measures
getTree
Extract a single tree from a forest.
predict.randomForest
predict method for random forest objects
rfNews
Show the NEWS file