geessbin: Modified Generalized Estimating Equations for Binary Outcome

Analyze small-sample clustered or longitudinal data with binary outcome using modified generalized estimating equations with bias-adjusted covariance estimator. The package provides any combination of three modified generalized estimating equations and 11 bias-adjusted covariance estimators.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: MASS (≥ 7.3-45)
Suggests: testthat (≥ 3.0.0)
Published: 2023-07-08
DOI: 10.32614/CRAN.package.geessbin
Author: Ryota Ishii [aut, cre], Tomohiro Ohigashi [ctb], Kazushi Maruo [ctb], Masahiko Gosho [ctb]
Maintainer: Ryota Ishii <r.ishii0808 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: geessbin results


Reference manual: geessbin.pdf


Package source: geessbin_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): geessbin_0.1.2.tgz, r-oldrel (arm64): geessbin_0.1.2.tgz, r-release (x86_64): geessbin_0.1.2.tgz, r-oldrel (x86_64): geessbin_0.1.2.tgz
Old sources: geessbin archive


Please use the canonical form to link to this page.