Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina GrĂ¼n, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares | Ratcliffe | Journal of Statistical Software
Authors: Sarah J. Ratcliffe, Justine Shults
Title: GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares
Abstract: The GEEQBOX toolbox analyzes correlated data via the method of generalized estimating equations (GEE) and quasi-least squares (QLS), an approach based on GEE that overcomes some limitations of GEE that have been noted in the literature. GEEQBOX is currently able to handle correlated data that follows a normal, Bernoulli or Poisson distribution, and that is assumed to have an AR(1), Markov, tri-diagonal, equicorrelated, unstructured or working independence correlation structure. This toolbox is for use with MATLAB.

Page views:: 9670. Submitted: 2007-04-13. Published: 2008-05-01.
Paper: GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares     Download PDF (Downloads: 9523)
Supplements:
GEEQBOX.zip: MATLAB toolbox Download (Downloads: 1958; 182KB)
v25i14.m: v25i13.m: MATLAB example code from the paper Download (Downloads: 1577; 517B)

DOI: 10.18637/jss.v025.i14

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.