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randomForest (version 4.5-4)

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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Version

Install

install.packages('randomForest')

Monthly Downloads

103,210

Version

4.5-4

License

GPL version 2 or later

Maintainer

Andy Liaw

Last Published

September 22nd, 2024

Functions in randomForest (4.5-4)

outlier

Compute outlying measures
grow

Add trees to an ensemble
combine

Combine Ensembles of Trees
imports85

The Automobile Data
randomForest

Classification and Regression with Random Forest
varImpPlot

Variable Importance Plot
na.roughfix

Rough Imputation of Missing Values
getTree

Extract a single tree from a forest.
rfNews

Show the NEWS file
rfImpute

Missing Value Imputations by randomForest
classCenter

Prototypes of groups.
predict.randomForest

predict method for random forest objects
tuneRF

Tune randomForest for the optimal mtry parameter
MDSplot

Multi-dimensional Scaling Plot of Proximity matrix from randomForest
varUsed

Variables used in a random forest
partialPlot

Partial dependence plot
plot.randomForest

Plot method for randomForest objects
importance

Extract variable importance measure
margin

Margins of randomForest Classifier
treesize

Size of trees in an ensemble