Synthesizing Causal Evidence in a Distributed Research Network

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.


Reference manual

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0.2.3 by Martijn Schuemie, 4 months ago,

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Authors: Martijn Schuemie [aut, cre] , Marc A. Suchard [aut] , Observational Health Data Science and Informatics [cph]

Documentation:   PDF Manual  

Task views: Meta-Analysis

Apache License 2.0 license

Imports ggplot2, gridExtra, meta, EmpiricalCalibration, rJava, BeastJar, Cyclops, HDInterval, coda, rlang, methods

Depends on survival

Suggests knitr, rmarkdown, testthat, sn

System requirements: Java version 8 or higher (

See at CRAN