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: | 0.1.2 |
| Imports: | purrr, metafor, tibble, dplyr |
| Suggests: | knitr, rmarkdown, kableExtra |
| Published: | 2026-03-10 |
| DOI: | 10.32614/CRAN.package.CaMeA |
| Author: | Clement Berenfeld [aut, cre], Ahmed Boughdiri [ctb], Charif El Gataa [aut], Julie Josse [ctb] |
| Maintainer: | Clement Berenfeld <clement.berenfeld at inria.fr> |
| License: | AGPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | MetaAnalysis |
| CRAN checks: | CaMeA results |
| Reference manual: | CaMeA.html , CaMeA.pdf |
| Vignettes: |
Causal Meta Analysis for Aggregated Data (source, R code) |
| Package source: | CaMeA_0.1.2.tar.gz |
| Windows binaries: | r-devel: CaMeA_0.1.2.zip, r-release: CaMeA_0.1.2.zip, r-oldrel: CaMeA_0.1.2.zip |
| macOS binaries: | r-release (arm64): CaMeA_0.1.2.tgz, r-oldrel (arm64): CaMeA_0.1.2.tgz, r-release (x86_64): CaMeA_0.1.2.tgz, r-oldrel (x86_64): CaMeA_0.1.2.tgz |
| Old sources: | CaMeA archive |
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