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randomForest (version 4.5-21)
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
4.5-21
License
GPL version 2 or later
Maintainer
Andy Liaw
Last Published
September 22nd, 2024
Functions in randomForest (4.5-21)
Search all functions
margin
Margins of randomForest Classifier
na.roughfix
Rough Imputation of Missing Values
getTree
Extract a single tree from a forest.
combine
Combine Ensembles of Trees
grow
Add trees to an ensemble
plot.randomForest
Plot method for randomForest objects
imports85
The Automobile Data
outlier
Compute outlying measures
rfNews
Show the NEWS file
partialPlot
Partial dependence plot
predict.randomForest
predict method for random forest objects
importance
Extract variable importance measure
randomForest
Classification and Regression with Random Forest
tuneRF
Tune randomForest for the optimal mtry parameter
MDSplot
Multi-dimensional Scaling Plot of Proximity matrix from randomForest
varImpPlot
Variable Importance Plot
varUsed
Variables used in a random forest
classCenter
Prototypes of groups.
treesize
Size of trees in an ensemble
rfImpute
Missing Value Imputations by randomForest