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: 0.1.3
Depends: R (≥ 4.0), tern (≥ 0.9.3)
Imports: checkmate, emmeans (≥ 1.4.5), formatters (≥ 0.5.5), geeasy, geepack, nlme, rtables (≥ 0.6.6), stats
Suggests: dplyr, knitr, rmarkdown, testthat (≥ 3.1), vdiffr
Published: 2023-12-12
Author: Daniel Sabanés Bové [aut, cre], Joe Zhu [aut], Emily de la Rua [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Daniel Sabanés Bové <daniel.sabanes_bove at roche.com>
BugReports: https://github.com/insightsengineering/tern.gee/issues
License: Apache License 2.0
URL: 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

Downloads:

Package source: tern.gee_0.1.3.tar.gz
Windows binaries: r-prerel: tern.gee_0.1.3.zip, r-release: tern.gee_0.1.3.zip, r-oldrel: tern.gee_0.1.3.zip
macOS binaries: r-prerel (arm64): tern.gee_0.1.3.tgz, r-release (arm64): tern.gee_0.1.3.tgz, r-oldrel (arm64): tern.gee_0.1.3.tgz, r-prerel (x86_64): tern.gee_0.1.3.tgz, r-release (x86_64): tern.gee_0.1.3.tgz

Reverse dependencies:

Reverse imports: teal.modules.clinical

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