Solve Generalized Estimating Equations for Clustered Data R package geeasy version 0.1.3 Estimation of generalized linear models with correlated/clustered observations by use of generalized estimating equations (GEE). See e.g. Halekoh and Højsgaard, (2005, <doi:10.18637/jss.v015.i02>), for details. Several types of clustering are supported, including exchangeable variance structures, AR1 structures, M-dependent, user-specified variance structures and more. The model fitting computations are performed using modified code from the 'geeM' package, while the interface and output objects have been written to resemble the 'geepack' package. The package also contains additional tools for working with and inspecting results from the 'geepack' package, e.g. a 'confint' method for 'geeglm' objects from 'geepack'. Software Depends: geepack, stats Imports: ggplot2, geeM, lme4, methods, Matrix, MESS Suggests: testthat, MuMIn Søren Højsgaard <sorenh@math.aau.dk> Comprehensive R Archive Network (CRAN) Anne Helby Petersen [aut], Lee McDaniel [aut] (Author of geeM), Claus Ekstrøm [ctb] (Wrote code for drop1 methods), Søren Højsgaard [aut, cre] (Author of geepack) GPL-3 2025-07-23 application/tgz https://CRAN.R-project.org/package=geeasy doi:10.32614/CRAN.package.geeasy en-US