SRTREE: Stata module to implement regression trees via optimal pruning, bagging, random forests, and boosting methods

Giovanni Cerulli

Statistical Software Components from Boston College Department of Economics

Abstract: srtree is a Stata wrapper for the R functions "tree()", "randomForest()", and "gbm()". It allows to implement the following regression tree models: (1) regression tree with optimal pruning, (2) bagging, (3) random forests, and (4) boosting.

Language: Stata
Requires: Stata version 15
Keywords: regression trees; pruning; bagging; random forests; boosting (search for similar items in EconPapers)
Date: 2019-05-07, Revised 2022-01-26
Note: This module should be installed from within Stata by typing "ssc install srtree". 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/s/srtree.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/srtree.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/b/boston.dta sample data file (application/x-stata)

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