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Breiman and Cutler's Random Forests for Classification and Regression

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Breiman and Cutler's Random Forests for Classification and Regression
Package ‘randomForest’
February 20, 2015
Title Breiman and Cutler 's random forests for classification and regression Version 4.6-10
Date 2014-07-17
Depends R (>= 2.5.0), stats
Suggests RColorBrewer, MASS
Author Fortran original by Leo Breiman and Adele Cutler, R port by
Andy Liaw and Matthew Wiener.
Description Classification and regression based on a forest of trees using random inputs.
Maintainer Andy Liaw <andy_liaw@merck.com>
License GPL (>= 2)
URL http://stat-www.berkeley.edu/users/breiman/RandomForests
NeedsCompilation yes
Repository CRAN
Date/Publication 2014-07-17 15:53:29

R topics documented: classCenter . . . combine . . . . . getTree . . . . . grow . . . . . . . importance . . . imports85 . . . . margin . . . . . .
MDSplot . . . . na.roughfix . . . outlier . . . . . . partialPlot . . . . plot.randomForest .
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classCenter predict.randomForest randomForest . . . . rfcv . . . . . . . . . rfImpute . . . . . . . rfNews . . . . . . . . treesize . . . . . . . tuneRF . . . . . . . . varImpPlot . .



References: Leo Breiman (2003). Manual for Setting Up, Using, and Understanding Random Forest V4.0.

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