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randomForest (version 4.7-1)
Breiman and Cutler's Random Forests for Classification and Regression
Description
Classification and regression based on a forest of trees using random inputs, based on Breiman (2001)
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Install
install.packages('randomForest')
Monthly Downloads
130,950
Version
4.7-1
License
GPL (>= 2)
Maintainer
Andy Liaw
Last Published
February 3rd, 2022
Functions in randomForest (4.7-1)
Search all functions
MDSplot
Multi-dimensional Scaling Plot of Proximity matrix from randomForest
classCenter
Prototypes of groups.
rfImpute
Missing Value Imputations by randomForest
combine
Combine Ensembles of Trees
getTree
Extract a single tree from a forest.
tuneRF
Tune randomForest for the optimal mtry parameter
varImpPlot
Variable Importance Plot
rfNews
Show the NEWS file
grow
Add trees to an ensemble
rfcv
Random Forest Cross-Valdidation for feature selection
importance
Extract variable importance measure
treesize
Size of trees in an ensemble
na.roughfix
Rough Imputation of Missing Values
outlier
Compute outlying measures
partialPlot
Partial dependence plot
plot.randomForest
Plot method for randomForest objects
imports85
The Automobile Data
margin
Margins of randomForest Classifier
varUsed
Variables used in a random forest
randomForest
Classification and Regression with Random Forest
predict.randomForest
predict method for random forest objects