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randomForest (version 4.5-34)
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
77,306
Version
4.5-34
License
GPL (>= 2)
Maintainer
Andy Liaw
Last Published
December 6th, 2009
Functions in randomForest (4.5-34)
Search functions
classCenter
Prototypes of groups.
combine
Combine Ensembles of Trees
imports85
The Automobile Data
grow
Add trees to an ensemble
rfNews
Show the NEWS file
predict.randomForest
predict method for random forest objects
treesize
Size of trees in an ensemble
getTree
Extract a single tree from a forest.
rfImpute
Missing Value Imputations by randomForest
outlier
Compute outlying measures
tuneRF
Tune randomForest for the optimal mtry parameter
MDSplot
Multi-dimensional Scaling Plot of Proximity matrix from randomForest
na.roughfix
Rough Imputation of Missing Values
varUsed
Variables used in a random forest
margin
Margins of randomForest Classifier
plot.randomForest
Plot method for randomForest objects
varImpPlot
Variable Importance Plot
randomForest
Classification and Regression with Random Forest
partialPlot
Partial dependence plot
importance
Extract variable importance measure