Bias-Reduced and Penalized Generalized Estimating Equations R package geer version 0.1.0 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>. Software 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 Anestis Touloumis <A.Touloumis@brighton.ac.uk> Comprehensive R Archive Network (CRAN) Anestis Touloumis [aut, cre] (ORCID: <https://orcid.org/0000-0002-5965-1639>) GPL-3 2026-06-23 application/tgz https://CRAN.R-project.org/package=geer doi:10.32614/CRAN.package.geer