<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>ramhworkshop.r-universe.dev</title><link>https://ramhworkshop.r-universe.dev</link><description>Recent package updates in ramhworkshop</description><generator>R-universe</generator><image><url>https://github.com/ramhworkshop.png</url><title>R packages by ramhworkshop</title><link>https://ramhworkshop.r-universe.dev</link></image><lastBuildDate>Tue, 10 Mar 2026 17:20:02 GMT</lastBuildDate><item><title>[ramhworkshop] CaMeA 0.1.2</title><author>clement.berenfeld@inria.fr (Clement Berenfeld)</author><description>A tool for causal meta-analysis. This package implements
the aggregation formulas and inference methods proposed in
Berenfeld et al. (2025) &lt;doi:10.48550/arXiv.2505.20168&gt;. 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
&lt;https://CRAN.R-project.org/package=metafor&gt;.</description><link>https://github.com/r-universe/ramhworkshop/actions/runs/25596197437</link><pubDate>Tue, 10 Mar 2026 17:20:02 GMT</pubDate><r:package>CaMeA</r:package><r:version>0.1.2</r:version><r:status>success</r:status><r:repository>https://ramhworkshop.r-universe.dev</r:repository><r:upstream>https://github.com/cran/CaMeA</r:upstream><r:article><r:source>CaMeA_vignette.Rmd</r:source><r:filename>CaMeA_vignette.html</r:filename><r:title>Causal Meta Analysis for Aggregated Data</r:title><r:created>2025-10-09 13:01:20</r:created><r:modified>2026-03-10 17:20:02</r:modified></r:article></item></channel></rss>