randomForest: Breiman and Cutler's Random Forests for Classification and Regression

Classification and regression based on a forest of trees using random inputs.

Install the latest version of this package by entering the following in R:
AuthorFortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener.
Date of publication2015-10-07 08:38:34
MaintainerAndy Liaw <andy_liaw@merck.com>
LicenseGPL (>= 2)

View on CRAN


classCenter Man page
combine Man page
getTree Man page
grow Man page
grow.default Man page
grow.randomForest Man page
importance Man page
importance.default Man page
importance.randomForest Man page
imports85 Man page
margin Man page
margin.default Man page
margin.randomForest Man page
MDSplot Man page
na.roughfix Man page
na.roughfix.data.frame Man page
na.roughfix.default Man page
outlier Man page
outlier.default Man page
outlier.randomForest Man page
partialPlot Man page
partialPlot.default Man page
partialPlot.randomForest Man page
plot.margin Man page
plot.randomForest Man page
predict.randomForest Man page
print.randomForest Man page
randomForest Man page
randomForest.default Man page
randomForest.formula Man page
rfcv Man page
rfImpute Man page
rfImpute.default Man page
rfImpute.formula Man page
rfNews Man page
treesize Man page
tuneRF Man page
varImpPlot Man page
varUsed Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.