Bayesian Causal Mediation Analysis using 'Stan' R package BayesGmed version 0.0.3 Performs parametric mediation analysis using the Bayesian g-formula approach for binary and continuous outcomes. The methodology is based on Comment (2018) <doi:10.5281/zenodo.1285275> and a demonstration of its application can be found at Yimer et al. (2022) <doi:10.48550/arXiv.2210.08499>. Software Depends: R (>= 3.4.0) Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.1.1) LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0) Suggests: knitr, rmarkdown Belay Birlie Yimer <belaybirlie.yimer@manchester.ac.uk> Comprehensive R Archive Network (CRAN) Belay Birlie Yimer [aut, cre] (ORCID: <https://orcid.org/0000-0001-8621-6539>), Mark Lunt [aut], Marcus Beasley [aut], Gary J Macfarlane [aut], John McBeth [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=BayesGmed/LICENSE) 2024-01-31 application/tgz https://CRAN.R-project.org/package=BayesGmed doi:10.32614/CRAN.package.BayesGmed