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randomForest (version 4.5-35)
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
92,025
Version
4.5-35
License
GPL (>= 2)
Maintainer
Andy Liaw
Last Published
June 21st, 2010
Functions in randomForest (4.5-35)
Search functions
partialPlot
Partial dependence plot
combine
Combine Ensembles of Trees
randomForest
Classification and Regression with Random Forest
varUsed
Variables used in a random forest
imports85
The Automobile Data
MDSplot
Multi-dimensional Scaling Plot of Proximity matrix from randomForest
getTree
Extract a single tree from a forest.
outlier
Compute outlying measures
plot.randomForest
Plot method for randomForest objects
margin
Margins of randomForest Classifier
rfNews
Show the NEWS file
importance
Extract variable importance measure
predict.randomForest
predict method for random forest objects
rfImpute
Missing Value Imputations by randomForest
grow
Add trees to an ensemble
tuneRF
Tune randomForest for the optimal mtry parameter
varImpPlot
Variable Importance Plot
classCenter
Prototypes of groups.
na.roughfix
Rough Imputation of Missing Values
treesize
Size of trees in an ensemble