Breiman and Cutler's Random Forests for Classification and Regression

Topics: Regression analysis, Data, Prediction Pages: 73 (6545 words) Published: September 12, 2015
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
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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References: Leo Breiman (2003). Manual for Setting Up, Using, and Understanding Random Forest V4.0.
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