Package: CaMeA
Type: Package
Title: Causal Meta-Analysis for Aggregated Data
Version: 0.1.2
Authors@R: c(
        person(given = "Clement", family = "Berenfeld", email = "clement.berenfeld@inria.fr", role = c("aut","cre")),
        person(given = "Ahmed", family = "Boughdiri", email = "ahmed.boughdiri@inria.fr", role = "ctb"),
        person(given = "Charif", family = "El Gataa", email = "charif.el-gataa@inria.fr", role = "aut"),
        person(given = "Julie", family = "Josse", email = "julie.josse@inria.fr", role = "ctb"))
Maintainer: Clement Berenfeld <clement.berenfeld@inria.fr>
Description: A tool for causal meta-analysis. This package implements the aggregation formulas and inference methods proposed in Berenfeld et al. (2025) <doi:10.48550/arXiv.2505.20168>. Users can input aggregated data across multiple studies and compute causally meaningful aggregated effects of their choice (risk difference, risk ratio, odds ratio, etc) under user-specified population weighting. The built-in function camea() allows to obtain precise variance estimates for these effects and to compare the latter to a classical meta-analysis aggregate, the random effect model, as implemented in the 'metafor' package <https://CRAN.R-project.org/package=metafor>.  
License: AGPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: purrr, metafor, tibble, dplyr
Suggests: knitr, rmarkdown, kableExtra
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-10 16:26:08 UTC; berenfeld
Author: Clement Berenfeld [aut, cre],
  Ahmed Boughdiri [ctb],
  Charif El Gataa [aut],
  Julie Josse [ctb]
Repository: CRAN
Date/Publication: 2026-03-10 17:20:02 UTC
Built: R 4.6.0; ; 2026-04-26 11:58:53 UTC; unix
