Package: beeca
Title: Binary Endpoint Estimation with Covariate Adjustment
Version: 0.2.0
Authors@R: 
  c(person(given = "Alex", 
           family = "Przybylski", 
           email = "alexander.przybylski@novartis.com", 
           role = c("cre", "aut")
           ),
    person(given = "Mark", 
           family = "Baillie", 
           email = "mark.baillie@novartis.com", 
           role = c("aut"), 
           comment = c(ORCID = "0000-0002-5618-0667")
           ),
    person(given = "Craig", 
           family = "Wang", 
           email = "craig.wang@novartis.com", 
           role = c("aut"),
           comment = c(ORCID = "0000-0003-1804-2463")
           ),
    person(given = "Dominic", 
           family = "Magirr", 
           email = "dominic.magirr@novartis.com", 
           role = c("aut")
           ))
Description: 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>.
Maintainer: Alex Przybylski <alexander.przybylski@novartis.com>
License: LGPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyr,
        marginaleffects, margins, RobinCar (>= 0.3.0)
Config/testthat/edition: 3
Depends: R (>= 4.1.0)
LazyData: true
Imports: dplyr, lifecycle, sandwich, stats
VignetteBuilder: knitr
URL: https://openpharma.github.io/beeca/
BugReports: https://github.com/openpharma/beeca/issues
Repository: https://openpharma.r-universe.dev
Date/Publication: 2024-11-12 12:44:59 UTC
RemoteUrl: https://github.com/openpharma/beeca
RemoteRef: HEAD
RemoteSha: 4b72c14afc83ffc36eafa3c94b98ebc3d116fcbc
NeedsCompilation: no
Packaged: 2026-06-22 08:14:55 UTC; root
Author: 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]