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randomForest (version 4.0-7)
Breiman's random forest 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
103,210
Version
4.0-7
License
GPL version 2 or later
Maintainer
Andy Liaw
Last Published
September 22nd, 2024
Functions in randomForest (4.0-7)
Search all functions
predict.randomForest
predict method for random forest objects
rfImpute
Missing Value Imputations by randomForest
randomForest
Classification and Regression with Random Forest
getTree
Extract a single tree from a forest.
partial.plot
Partial dependence plot
grow
Add trees to an ensemble
importance
Extract variable importance measure
na.roughfix
Rough Imputation of Missing Values
var.imp.plot
Variable Importance Plot
MDSplot
Multi-dimensional Scaling Plot of Proximity matrix from randomForest
treesize
Size of trees in an ensemble
tuneRF
Tune randomForest for the optimal mtry parameter
var.used
Variables used in a random forest
plot.randomForest
Plot method for randomForest objects
combine
Combine Ensembles of Trees
margin
Margins of randomForest Classifier