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randomForest (version 4.3-2)

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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Version

Install

install.packages('randomForest')

Monthly Downloads

103,210

Version

4.3-2

License

GPL version 2 or later

Maintainer

Andy Liaw

Last Published

September 22nd, 2024

Functions in randomForest (4.3-2)

na.roughfix

Rough Imputation of Missing Values
margin

Margins of randomForest Classifier
partialPlot

Partial dependence plot
predict.randomForest

predict method for random forest objects
varUsed

Variables used in a random forest
MDSplot

Multi-dimensional Scaling Plot of Proximity matrix from randomForest
varImpPlot

Variable Importance Plot
randomForest

Classification and Regression with Random Forest
combine

Combine Ensembles of Trees
importance

Extract variable importance measure
tuneRF

Tune randomForest for the optimal mtry parameter
grow

Add trees to an ensemble
plot.randomForest

Plot method for randomForest objects
getTree

Extract a single tree from a forest.
treesize

Size of trees in an ensemble
rfImpute

Missing Value Imputations by randomForest
rfNews

Show the NEWS file