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randomForest (version 4.6-6)
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
99,562
Version
4.6-6
License
GPL (>= 2)
Maintainer
Andy Liaw
Last Published
January 6th, 2012
Functions in randomForest (4.6-6)
Search all functions
randomForest
Classification and Regression with Random Forest
MDSplot
Multi-dimensional Scaling Plot of Proximity matrix from randomForest
margin
Margins of randomForest Classifier
varImpPlot
Variable Importance Plot
na.roughfix
Rough Imputation of Missing Values
outlier
Compute outlying measures
predict.randomForest
predict method for random forest objects
treesize
Size of trees in an ensemble
rfImpute
Missing Value Imputations by randomForest
plot.randomForest
Plot method for randomForest objects
combine
Combine Ensembles of Trees
classCenter
Prototypes of groups.
imports85
The Automobile Data
getTree
Extract a single tree from a forest.
rfNews
Show the NEWS file
rfcv
Random Forest Cross-Valdidation for feature selection
varUsed
Variables used in a random forest
partialPlot
Partial dependence plot
importance
Extract variable importance measure
tuneRF
Tune randomForest for the optimal mtry parameter
grow
Add trees to an ensemble