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: |
0.1.3 |
| Depends: |
R (≥ 2.10) |
| Imports: |
dplyr, lifecycle, sandwich, stats |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0), tidyr, marginaleffects, margins, RobinCar (== 0.3.0) |
| Published: |
2024-06-18 |
| 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> |
| License: |
LGPL (≥ 3) |
| URL: |
https://openpharma.github.io/beeca/ |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
beeca results |