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 [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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