Package: geer Type: Package Title: Bias-Reduced and Penalized Generalized Estimating Equations Version: 0.1.0 Authors@R: person(given = "Anestis", family = "Touloumis", role = c("aut", "cre"), email = "A.Touloumis@brighton.ac.uk", comment = c(ORCID = "0000-0002-5965-1639")) Description: 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) and Touloumis (2026b) . License: GPL-3 URL: https://github.com/AnestisTouloumis/geer BugReports: https://github.com/AnestisTouloumis/geer/issues 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 Encoding: UTF-8 LazyData: true Config/testthat/edition: 3 Config/roxygen2/version: 8.0.0 Repository: https://anestistouloumis.r-universe.dev Date/Publication: 2026-06-18 12:20:09 UTC RemoteUrl: https://github.com/anestistouloumis/geer RemoteRef: HEAD RemoteSha: e647e4a7046194a43deade0c7369214926a1dd68 NeedsCompilation: yes Packaged: 2026-06-24 10:53:40 UTC; root Author: Anestis Touloumis [aut, cre] (ORCID: ) Maintainer: Anestis Touloumis