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 (may not be active yet)
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: not available, 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

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