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randomForest (version 4.6-10)
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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Install
install.packages('randomForest')
Monthly Downloads
93,657
Version
4.6-10
License
GPL (>= 2)
Maintainer
Andy Liaw
Last Published
July 17th, 2014
Functions in randomForest (4.6-10)
Search all functions
imports85
The Automobile Data
margin
Margins of randomForest Classifier
combine
Combine Ensembles of Trees
na.roughfix
Rough Imputation of Missing Values
randomForest
Classification and Regression with Random Forest
rfcv
Random Forest Cross-Valdidation for feature selection
grow
Add trees to an ensemble
plot.randomForest
Plot method for randomForest objects
outlier
Compute outlying measures
partialPlot
Partial dependence plot
tuneRF
Tune randomForest for the optimal mtry parameter
rfNews
Show the NEWS file
classCenter
Prototypes of groups.
MDSplot
Multi-dimensional Scaling Plot of Proximity matrix from randomForest
getTree
Extract a single tree from a forest.
treesize
Size of trees in an ensemble
importance
Extract variable importance measure
rfImpute
Missing Value Imputations by randomForest
varImpPlot
Variable Importance Plot
predict.randomForest
predict method for random forest objects
varUsed
Variables used in a random forest