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) <>). 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 ORCID iD [aut], Craig Wang ORCID iD [aut], Dominic Magirr [aut]
Maintainer: Alex Przybylski <alexander.przybylski at>
License: LGPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: beeca results


Reference manual: beeca.pdf
Vignettes: Introduction to estimating a marginal estimand with beeca


Package source: beeca_0.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): beeca_0.1.3.tgz, r-oldrel (arm64): beeca_0.1.3.tgz, r-release (x86_64): beeca_0.1.3.tgz, r-oldrel (x86_64): beeca_0.1.3.tgz


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