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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 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 |
Reference manual: | geessbin.pdf |
Package source: | geessbin_0.1.2.tar.gz |
Windows binaries: | r-devel: geessbin_0.1.2.zip, r-release: geessbin_0.1.2.zip, r-oldrel: geessbin_0.1.2.zip |
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 |
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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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