CaMeA: Causal Meta-Analysis for Aggregated Data

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>.

Version:	0.1.0
Imports:	purrr, metafor, tibble, dplyr
Suggests:	knitr, rmarkdown, kableExtra
Published:	2025-10-09
DOI:	10.32614/CRAN.package.CaMeA (may not be active yet)
Author:	Clement Berenfeld [ctb, cre], Ahmed Boughdiri [ctb], Charif El Gataa [aut], Julie Josse [ctb]
Maintainer:	Clement Berenfeld <clement.berenfeld at inria.fr>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README
CRAN checks:	CaMeA results

Documentation:

Reference manual:	CaMeA.html , CaMeA.pdf
Vignettes:	Causal Meta Analysis for Aggregated Data (source, R code)

Downloads:

Package source:	CaMeA_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): CaMeA_0.1.0.tgz, r-oldrel (x86_64): CaMeA_0.1.0.tgz

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