Package: geessbin 1.0.0
geessbin: Modified Generalized Estimating Equations for Binary Outcome
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.
Authors:
geessbin_1.0.0.tar.gz
geessbin_1.0.0.zip(r-4.5)geessbin_1.0.0.zip(r-4.4)geessbin_1.0.0.zip(r-4.3)
geessbin_1.0.0.tgz(r-4.4-any)geessbin_1.0.0.tgz(r-4.3-any)
geessbin_1.0.0.tar.gz(r-4.5-noble)geessbin_1.0.0.tar.gz(r-4.4-noble)
geessbin_1.0.0.tgz(r-4.4-emscripten)geessbin_1.0.0.tgz(r-4.3-emscripten)
geessbin.pdf |geessbin.html✨
geessbin/json (API)
NEWS
| # Install 'geessbin' in R: |
| install.packages('geessbin', repos = c('https://rtishii.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rtishii/geessbin/issues
- wheeze - Wheeze dataset
Last updated 2 months agofrom:7c220a6dd5. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 05 2024 |
| R-4.5-win | OK | Nov 05 2024 |
| R-4.5-linux | OK | Nov 05 2024 |
| R-4.4-win | OK | Nov 05 2024 |
| R-4.4-mac | OK | Nov 05 2024 |
| R-4.3-win | OK | Nov 05 2024 |
| R-4.3-mac | OK | Nov 05 2024 |
Exports:geessbingeessbin_allsqrtmat
Dependencies:MASS
