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randomForest (version 4.5-36)
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
105,855
Version
4.5-36
License
GPL (>= 2)
Maintainer
Andy Liaw
Last Published
July 25th, 2010
Functions in randomForest (4.5-36)
Search functions
rfImpute
Missing Value Imputations by randomForest
classCenter
Prototypes of groups.
randomForest
Classification and Regression with Random Forest
partialPlot
Partial dependence plot
MDSplot
Multi-dimensional Scaling Plot of Proximity matrix from randomForest
getTree
Extract a single tree from a forest.
rfNews
Show the NEWS file
grow
Add trees to an ensemble
importance
Extract variable importance measure
outlier
Compute outlying measures
tuneRF
Tune randomForest for the optimal mtry parameter
combine
Combine Ensembles of Trees
na.roughfix
Rough Imputation of Missing Values
imports85
The Automobile Data
varUsed
Variables used in a random forest
margin
Margins of randomForest Classifier
plot.randomForest
Plot method for randomForest objects
varImpPlot
Variable Importance Plot
treesize
Size of trees in an ensemble
predict.randomForest
predict method for random forest objects