geeasy: Solve Generalized Estimating Equations for Clustered Data

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'.

Version: 0.1.1
Depends: geepack, stats
Imports: ggplot2, geeM, lme4, methods, Matrix, MESS
Suggests: testthat, MuMIn
Published: 2022-01-06
Author: 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)
Maintainer: Søren Højsgaard <sorenh at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Citation: geeasy citation info
Materials: README NEWS
CRAN checks: geeasy results


Reference manual: geeasy.pdf


Package source: geeasy_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): geeasy_0.1.1.tgz, r-oldrel (arm64): geeasy_0.1.1.tgz, r-release (x86_64): geeasy_0.1.1.tgz, r-oldrel (x86_64): geeasy_0.1.1.tgz


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