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)
    <doi:10.48550/arXiv.2606.16043> and Touloumis (2026b)
    <doi:10.48550/arXiv.2606.16058>.
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
NeedsCompilation: yes
Packaged: 2026-06-18 12:42:46 UTC; Anestis
Author: Anestis Touloumis [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-5965-1639>)
Maintainer: Anestis Touloumis <A.Touloumis@brighton.ac.uk>
Repository: CRAN
Date/Publication: 2026-06-23 14:50:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-06-23 23:51:11 UTC; windows
Archs: x64
