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tern.gee: Tables and Graphs for Generalized Estimating Equations (GEE) Model Fits

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:

Reference manual: tern.gee.pdf
Vignettes: Introduction to tern.gee (source, R code)

Downloads:

Package source: tern.gee_0.1.5.tar.gz
Windows binaries: r-devel: tern.gee_0.1.5.zip, r-release: tern.gee_0.1.5.zip, r-oldrel: tern.gee_0.1.5.zip
macOS binaries: r-release (arm64): tern.gee_0.1.5.tgz, r-oldrel (arm64): tern.gee_0.1.5.tgz, r-release (x86_64): tern.gee_0.1.5.tgz, r-oldrel (x86_64): tern.gee_0.1.5.tgz
Old sources: tern.gee archive

Reverse dependencies:

Reverse imports: teal.modules.clinical

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.