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randomForest (version 4.6-1)
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
4.6-1
License
GPL (>= 2)
Maintainer
Andy Liaw
Last Published
December 18th, 2010
Functions in randomForest (4.6-1)
Search all functions
classCenter
Prototypes of groups.
plot.randomForest
Plot method for randomForest objects
outlier
Compute outlying measures
predict.randomForest
predict method for random forest objects
combine
Combine Ensembles of Trees
varImpPlot
Variable Importance Plot
getTree
Extract a single tree from a forest.
grow
Add trees to an ensemble
partialPlot
Partial dependence plot
MDSplot
Multi-dimensional Scaling Plot of Proximity matrix from randomForest
randomForest
Classification and Regression with Random Forest
tuneRF
Tune randomForest for the optimal mtry parameter
varUsed
Variables used in a random forest
imports85
The Automobile Data
treesize
Size of trees in an ensemble
margin
Margins of randomForest Classifier
na.roughfix
Rough Imputation of Missing Values
rfImpute
Missing Value Imputations by randomForest
rfNews
Show the NEWS file
importance
Extract variable importance measure
rfcv
Random Forest Cross-Valdidation for feature selection