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:	0.1.1
Depends:	R (≥ 3.5.0)
Imports:	MASS (≥ 7.3-45)
Suggests:	testthat (≥ 3.0.0)
Published:	2023-04-20
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_0.1.1.tar.gz
Windows binaries:	r-devel: geessbin_0.1.1.zip, r-release: geessbin_0.1.1.zip, r-oldrel: geessbin_0.1.1.zip
macOS binaries:	r-release (arm64): geessbin_0.1.1.tgz, r-oldrel (arm64): geessbin_0.1.1.tgz, r-release (x86_64): geessbin_0.1.1.tgz, r-oldrel (x86_64): geessbin_0.1.1.tgz

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