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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 |
| 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.
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