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randomForest (version 4.0-1)
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
93,657
Version
4.0-1
License
GPL version 2 or later
Maintainer
Andy Liaw
Last Published
September 22nd, 2024
Functions in randomForest (4.0-1)
Search all functions
combine
Combine Ensembles of Trees
MDSplot
Multi-dimensional Scaling Plot of Proximity matrix from randomForest
margin
Margins of randomForest Classifier
randomForest
Classification and Regression with Random Forest
na.roughfix
Rough Imputation of Missing Values
grow
Add trees to an ensemble
getTree
Extract a single tree from a forest.
partial.plot
Partial dependence plot
rfImpute
Missing Value Imputations by randomForest
var.imp.plot
Variable Importance Plot
predict.randomForest
predict method for random forest objects
var.used
Variables used in a random forest
treesize
Size of trees in an ensemble
plot.randomForest
Plot method for randomForest objects