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: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=beeca to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4