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randomForest (version 4.6-4)
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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Install
install.packages('randomForest')
Monthly Downloads
93,657
Version
4.6-4
License
GPL (>= 2)
Maintainer
Andy Liaw
Last Published
December 20th, 2011
Functions in randomForest (4.6-4)
Search all functions
outlier
Compute outlying measures
rfImpute
Missing Value Imputations by randomForest
getTree
Extract a single tree from a forest.
partialPlot
Partial dependence plot
combine
Combine Ensembles of Trees
varImpPlot
Variable Importance Plot
MDSplot
Multi-dimensional Scaling Plot of Proximity matrix from randomForest
grow
Add trees to an ensemble
imports85
The Automobile Data
tuneRF
Tune randomForest for the optimal mtry parameter
randomForest
Classification and Regression with Random Forest
margin
Margins of randomForest Classifier
rfNews
Show the NEWS file
plot.randomForest
Plot method for randomForest objects
classCenter
Prototypes of groups.
importance
Extract variable importance measure
na.roughfix
Rough Imputation of Missing Values
varUsed
Variables used in a random forest
treesize
Size of trees in an ensemble
rfcv
Random Forest Cross-Valdidation for feature selection
predict.randomForest
predict method for random forest objects