From Free Software Directory
This is the approved revision of this page; it is not the most recent. View the most recent revision.
Jump to: navigation, search


GNU Gretl
Statistical analysis of economic data (econometrics)

Gretl, an acronym for Gnu Regression Econometrics and Time-series Library, is a package for performing statistical computations for econometrics. It consists of both a command-line client and a graphical client. It features a variety of estimators such as least-squares and maximum likelihood; several time series methods such as ARIMA and GARCH; limited dependent variables such as logit, probit and tobit; and a powerful scripting language. It can output models as LaTeX files. It also may be linked to GNU R and GNU Octave for further data analysis.


Online documentation available at:


LicenseVerified byVerified onNotes
License:GPLv3orlaterGenium6 December 2016

Leaders and contributors

Allin Cottrell Maintainer
Ramu Ramanathan Contributor

Resources and communication

AudienceResource typeURI
AnnounceMailing List
DeveloperMailing List Subscribe
DeveloperVCS Repository Webview
UserMailing List Subscribe
DeveloperBug Tracking
Debian (Ref)

Software prerequisites

Required to usegnuplot
Weak prerequisiteR

This entry (in part or in whole) was last reviewed on 15 February 2018.


"Announce" is not in the list (General, Help, Bug Tracking, Support, Developer) of allowed values for the "Resource audience" property.

"User" is not in the list (General, Help, Bug Tracking, Support, Developer) of allowed values for the "Resource audience" property.

Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.

The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.