The R Package geepack for Generalized Estimating Equations

The R Package geepack for Generalized Estimating Equations

Show other versions (1)

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...

Full description

Bibliographic Details
Main Authors: Ulrich Halekoh, Søren Højsgaard, Jun Yan
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2005-12-01
Series:Journal of Statistical Software
Subjects:
generalized estimating equation
random effect
mixed model
quasi-likelihood
Online Access:http://www.jstatsoft.org/v15/i02/paper
Description
Summary: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.
ISSN:1548-7660

Similar Items