R package “wgeesel”

Photo by Toa Heftiba on Unsplash

Weighted generalized estimating equations (WGEE) is an extension of generalized linear models to longitudinal clustered data by incorporating the correlation within-cluster when data is missing at random (MAR). The parameters in mean, scale correlation structures are estimated based on quasi-likelihood. Multiple model selection criterion are provided for selection of mean model and working correlation structure based on WGEE/GEE. View more details on https://cran.r-project.org/web/packages/wgeesel/index.html.

You can also refer to the paper:“Xu C, Li Z, Xue Y, Zhang L and Wang M. An R package for model fitting, model selection and the simulation for longitudinal data with dropout missingness. Communications in Statistics-Simulation and Computation, 2018. https://doi.org/10.1080/03610918.2018.1468457.”.

Liangliang(Lyon) Zhang
Liangliang(Lyon) Zhang
Assistant Professor

Dr. Zhang’s research interests center around Bayesian inference and prediction, high dimensional models, and complex structured data, such as brain imaging and metagenomic data.