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geess: Modified Generalized Estimating Equations for Small-Sample Data

Analyze small-sample clustered or longitudinal data 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 (≥ 4.5.0)
Imports: MASS (≥ 7.3-45)
Suggests: testthat (≥ 3.0.0)
Published: 2025-06-19
DOI: 10.32614/CRAN.package.geess
Author: Ryota Ishii [aut, cre], Kazushi Maruo [ctb], Masahiko Gosho [ctb]
Maintainer: Ryota Ishii <r.ishii0808 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: geess results

Documentation:

Reference manual: geess.pdf

Downloads:

Package source: geess_0.1.2.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): geess_0.1.2.tgz, r-oldrel (arm64): not available, r-release (x86_64): geess_0.1.2.tgz, r-oldrel (x86_64): not available

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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