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randomForest (version 4.6-3)
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
92,025
Version
4.6-3
License
GPL (>= 2)
Maintainer
Andy Liaw
Last Published
December 16th, 2011
Functions in randomForest (4.6-3)
Search functions
imports85
The Automobile Data
varUsed
Variables used in a random forest
plot.randomForest
Plot method for randomForest objects
na.roughfix
Rough Imputation of Missing Values
combine
Combine Ensembles of Trees
tuneRF
Tune randomForest for the optimal mtry parameter
importance
Extract variable importance measure
MDSplot
Multi-dimensional Scaling Plot of Proximity matrix from randomForest
margin
Margins of randomForest Classifier
getTree
Extract a single tree from a forest.
treesize
Size of trees in an ensemble
predict.randomForest
predict method for random forest objects
partialPlot
Partial dependence plot
classCenter
Prototypes of groups.
randomForest
Classification and Regression with Random Forest
outlier
Compute outlying measures
varImpPlot
Variable Importance Plot
rfImpute
Missing Value Imputations by randomForest
grow
Add trees to an ensemble
rfcv
Random Forest Cross-Valdidation for feature selection
rfNews
Show the NEWS file