Analyze small-sample clustered or longitudinal data with binary outcome using modified generalized estimating equations (GEE) with bias-adjusted covariance estimator. The package provides any combination of three GEE methods and 12 covariance estimators.
Version: 1.0.0 Depends: R (≥ 3.5.0) Imports: MASS (≥ 7.3-45) Suggests: testthat (≥ 3.0.0) Published: 2024-09-08 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 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_1.0.0.tar.gz Windows binaries: r-devel: geessbin_1.0.0.zip, r-release: geessbin_1.0.0.zip, r-oldrel: geessbin_1.0.0.zip macOS binaries: r-release (arm64): geessbin_1.0.0.tgz, r-oldrel (arm64): geessbin_1.0.0.tgz, r-release (x86_64): geessbin_1.0.0.tgz, r-oldrel (x86_64): geessbin_1.0.0.tgz Old sources: geessbin archive Linking:Please use the canonical form https://CRAN.R-project.org/package=geessbin to link to this page.
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