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 |