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beeca: Binary Endpoint Estimation with Covariate Adjustment
Performs estimation of marginal treatment effects for binary
outcomes when using logistic regression working models with covariate
adjustment (see discussions in Magirr et al (2024) <https://osf.io/9mp58/>).
Implements the variance estimators of Ge et al (2011) <doi:10.1177/009286151104500409>
and Ye et al (2023) <doi:10.1080/24754269.2023.2205802>.
| Version: |
0.2.0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
dplyr, lifecycle, sandwich, stats |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0), tidyr, marginaleffects, margins, RobinCar (≥ 0.3.0) |
| Published: |
2024-11-12 |
| DOI: |
10.32614/CRAN.package.beeca |
| Author: |
Alex Przybylski [cre, aut],
Mark Baillie 
[aut],
Craig Wang [aut],
Dominic Magirr [aut] |
| Maintainer: |
Alex Przybylski <alexander.przybylski at novartis.com> |
| BugReports: |
https://github.com/openpharma/beeca/issues |
| License: |
LGPL (≥ 3) |
| URL: |
https://openpharma.github.io/beeca/ |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
beeca results |
Documentation:
Downloads:
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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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