Binary Endpoint Estimation with Covariate Adjustment R package beeca version 0.2.0 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>. Software Depends: R (>= 2.10) Imports: dplyr, lifecycle, sandwich, stats Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyr, marginaleffects, margins, RobinCar (>= 0.3.0) Alex Przybylski <alexander.przybylski@novartis.com> Comprehensive R Archive Network (CRAN) Alex Przybylski [cre, aut], Mark Baillie [aut] (ORCID: <https://orcid.org/0000-0002-5618-0667>), Craig Wang [aut] (ORCID: <https://orcid.org/0000-0003-1804-2463>), Dominic Magirr [aut] LGPL (>= 3) 2024-11-12 application/tgz https://CRAN.R-project.org/package=beeca doi:10.32614/CRAN.package.beeca