Synthesizing Causal Evidence in a Distributed Research Network R package EvidenceSynthesis version 1.1.0 CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis) Routines for combining causal effect estimates and study diagnostics across multiple data sites in a distributed study, without sharing patient-level data. Allows for normal and non-normal approximations of the data-site likelihood of the effect parameter. Software Depends: survival, R (>= 4.1.0) Imports: dplyr, ggplot2 (>= 4.0.0), ggdist, gridExtra, meta, EmpiricalCalibration, rJava, BeastJar (>= 10.5.1), Cyclops (>= 3.6.0), HDInterval, coda, rlang, methods Suggests: knitr, rmarkdown, testthat, sn, tidyr Martijn Schuemie <schuemie@ohdsi.org> Comprehensive R Archive Network (CRAN) Martijn Schuemie [aut, cre], Marc A. Suchard [aut], Fan Bu [aut], Observational Health Data Science and Informatics [cph] Apache License 2.0 2025-10-15 application/tgz https://CRAN.R-project.org/package=EvidenceSynthesis doi:10.32614/CRAN.package.EvidenceSynthesis