The R Package geepack for Generalized Estimating Equations

The R Package geepack for Generalized Estimating Equations

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This paper describes the core features of the R package geepack, which implements the generalized estimating equations (GEE) approach for fitting marginal generalized linear models to clustered data. Clustered data arise in many applications such as longitudinal data and repeated measures. The GEE a...

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Main Authors: Søren Højsgaard, Ulrich Halekoh, Jun Yan
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2005-12-01
Series:Journal of Statistical Software
Online Access:http://www.jstatsoft.org/index.php/jss/article/view/1477
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spelling doaj-426477e7dac04948a2cfb9932582bb752020-11-24T23:12:09ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602005-12-0115111110.18637/jss.v015.i0281The R Package geepack for Generalized Estimating EquationsSøren HøjsgaardUlrich HalekohJun YanThis paper describes the core features of the R package geepack, which implements the generalized estimating equations (GEE) approach for fitting marginal generalized linear models to clustered data. Clustered data arise in many applications such as longitudinal data and repeated measures. The GEE approach focuses on models for the mean of the correlated observations within clusters without fully specifying the joint distribution of the observations. It has been widely used in statistical practice. This paper illustrates the application of the GEE approach with geepack through an example of clustered binary data.http://www.jstatsoft.org/index.php/jss/article/view/1477
collection DOAJ
language English
format Article
sources DOAJ
author Søren Højsgaard
Ulrich Halekoh
Jun Yan
spellingShingle Søren Højsgaard
Ulrich Halekoh
Jun Yan
The R Package geepack for Generalized Estimating Equations
Journal of Statistical Software
author_facet Søren Højsgaard
Ulrich Halekoh
Jun Yan
author_sort Søren Højsgaard
title The R Package geepack for Generalized Estimating Equations
title_short The R Package geepack for Generalized Estimating Equations
title_full The R Package geepack for Generalized Estimating Equations
title_fullStr The R Package geepack for Generalized Estimating Equations
title_full_unstemmed The R Package geepack for Generalized Estimating Equations
title_sort r package geepack for generalized estimating equations
publisher Foundation for Open Access Statistics
series Journal of Statistical Software
issn 1548-7660
publishDate 2005-12-01
description This paper describes the core features of the R package geepack, which implements the generalized estimating equations (GEE) approach for fitting marginal generalized linear models to clustered data. Clustered data arise in many applications such as longitudinal data and repeated measures. The GEE approach focuses on models for the mean of the correlated observations within clusters without fully specifying the joint distribution of the observations. It has been widely used in statistical practice. This paper illustrates the application of the GEE approach with geepack through an example of clustered binary data.
url http://www.jstatsoft.org/index.php/jss/article/view/1477
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