Multiple 2 by 2 tables often arise in meta-analysis which combines statistical evidence from multiple studies. Two risks within the same study are possibly correlated because they share some common factors such as environment and population structure. This package implements a set of novel Bayesian approaches for multivariate meta analysis when the risks within the same study are independent or correlated. The exact posterior inference of odds ratio, relative risk, and risk difference given either a single 2 by 2 table or multiple 2 by 2 tables is provided. Luo, Chen, Su, Chu, (2014) <doi:10.18637/jss.v056.i11>, Chen, Luo, (2011) <doi:10.1002/sim.4248>, Chen, Chu, Luo, Nie, Chen, (2015) <doi:10.1177/0962280211430889>, Chen, Luo, Chu, Su, Nie, (2014) <doi:10.1080/03610926.2012.700379>, Chen, Luo, Chu, Wei, (2013) <doi:10.1080/19466315.2013.791483>.
Version: 3.0.2 Depends: R (≥ 2.10.0) Imports: aod, ggplot2, stats Suggests: testthat (≥ 3.0.0) Published: 2025-06-08 DOI: 10.32614/CRAN.package.mmeta Author: Sheng Luo [aut], Yong Chen [aut], Xiao Su [aut], Haitao Chu [aut], Bingyu Zhang [cre], Wally Gilks [ctb], Giovanni Petris [ctb], Luca Tardella [ctb] Maintainer: Bingyu Zhang <bingyuz7 at sas.upenn.edu> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes Citation: mmeta citation info Materials: NEWS In views: MetaAnalysis CRAN checks: mmeta results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=mmeta to link to this page.
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