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geer: Bias-Reduced and Penalized Generalized Estimating Equations

Fits marginal regression models for repeated or clustered responses using generalized estimating equations (GEE). Provides ordinary GEE estimators, bias-reduced and bias-corrected GEE estimators, and Jeffreys-type penalized GEE estimators for binary, count and continuous responses. Methods are described in Touloumis (2026a) <doi:10.48550/arXiv.2606.16043> and Touloumis (2026b) <doi:10.48550/arXiv.2606.16058>.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: brglm2, generics, Rcpp (≥ 1.0.9)
LinkingTo: Rcpp, RcppArmadillo
Suggests: covr, emmeans (≥ 2.0.0), estimability, testthat (≥ 3.0.0), tibble
Published: 2026-06-23
DOI: 10.32614/CRAN.package.geer
Author: Anestis Touloumis ORCID iD [aut, cre]
Maintainer: Anestis Touloumis <A.Touloumis at brighton.ac.uk>
BugReports: https://github.com/AnestisTouloumis/geer/issues
License: GPL-3
URL: https://github.com/AnestisTouloumis/geer
NeedsCompilation: yes
Citation: geer citation info
Materials: README
CRAN checks: geer results

Documentation:

Reference manual: geer.html , geer.pdf

Downloads:

Package source: geer_0.1.0.tar.gz
Windows binaries: r-devel: geer_0.1.0.zip, r-release: geer_0.1.0.zip, r-oldrel: geer_0.1.0.zip
macOS binaries: r-release (arm64): geer_0.1.0.tgz, r-oldrel (arm64): geer_0.1.0.tgz, r-release (x86_64): geer_0.1.0.tgz, r-oldrel (x86_64): geer_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=geer to link to this page.

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.
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