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
Author: Ryota Ishii [aut, cre], Tomohiro Ohigashi [ctb], Kazushi Maruo [ctb], Masahiko Gosho [ctb]
Maintainer: Ryota Ishii <r.ishii0808 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/rtishii/geessbin
NeedsCompilation: no
Materials: README NEWS
CRAN checks: geessbin results

Documentation:

Reference manual: geessbin.pdf

Downloads:

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

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