Generalized estimating equations (GEE) are a popular choice for analyzing longitudinal binary outcomes. This package provides an interface for fitting GEE, currently for logistic regression, within the 'tern' <https://cran.r-project.org/package=tern> framework (Zhu, Sabanés Bové et al., 2023) and tabulate results easily using 'rtables' <https://cran.r-project.org/package=rtables> (Becker, Waddell et al., 2023). It builds on 'geepack' <doi:10.18637/jss.v015.i02> (Højsgaard, Halekoh and Yan, 2006) for the actual GEE model fitting.
Version: 0.1.5 Depends: R (≥ 4.0), tern (≥ 0.9.5) Imports: checkmate (≥ 2.1.0), emmeans (≥ 1.10.4), formatters (≥ 0.5.8), geeasy, geepack, nlme, rtables (≥ 0.6.9), stats Suggests: dplyr (≥ 1.0.9), knitr (≥ 1.42), rmarkdown (≥ 2.23), testthat (≥ 3.1), vdiffr (≥ 1.0.0), withr (≥ 2.0.0) Published: 2024-08-23 DOI: 10.32614/CRAN.package.tern.gee Author: Daniel Sabanés Bové [aut], Joe Zhu [aut, cre], Emily de la Rua [aut], F. Hoffmann-La Roche AG [cph, fnd] Maintainer: Joe Zhu <joe.zhu at roche.com> BugReports: https://github.com/insightsengineering/tern.gee/issues License: Apache License 2.0 URL: https://insightsengineering.github.io/tern.gee/, https://github.com/insightsengineering/tern.gee/ NeedsCompilation: no Language: en-US Materials: NEWS CRAN checks: tern.gee results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=tern.gee to link to this page.
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