The R Package geepack for Generalized Estimating Equations
The R Package geepack for Generalized Estimating Equations
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DOI：
10.18637/jss.v015.i02
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发表时间：
2006-01-01
影响因子：
5.8
通讯作者：
Yan, J
中科院分区：
文献类型：
--
作者：
Halekoh, U;Hojsgaard, S;Yan, J
本文介绍了R包geepack的核心特性，它实现了将边际广义线性模型拟合到聚类数据的广义估计方程（GEE）方法。在许多应用中会出现离散数据，如纵向数据和重复测量。GEE方法侧重于聚类内相关观测值的均值模型，而不完全指定观测值的联合分布。它在统计实践中得到了广泛的应用。本文通过一个聚类二进制数据的例子说明了GEE方法与geepack的应用。
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.