RFOREST: Stata module to implement Random Forest algorithm
Rosie Yuyan Zou () and
Matthias Schonlau ()
Additional contact information
Rosie Yuyan Zou: University of Waterloo
Matthias Schonlau: University of Waterloo
Statistical Software Components from Boston College Department of Economics
rforest is a plugin for random forest classification and regression algorithms. It is built on a Java backend which acts as an interface to the RandomForest Java class presented in the WEKA project, developed at the University of Waikato and distributed under the GNU Public License.
Requires: Stata version 15
Keywords: random forest; classification; regression (search for similar items in EconPapers)
Date: 2019-03-02, Revised 2020-01-04
Note: This module should be installed from within Stata by typing "ssc install rforest". This routine was previously named randomforest. The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/r/rforest.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rforest.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/r/randomforest_predict.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rforest_examples.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rforest_examples.ihlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/r/randomforest.jar Java archive file (application/x-java)
http://fmwww.bc.edu/repec/bocode/w/weka.jar Java archive file (application/x-java)
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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458614
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