Package: BayesGmed Title: Bayesian Causal Mediation Analysis using 'Stan' Version: 0.0.3 Authors@R: c(person(given = "Belay Birlie", family = "Yimer", role = c("aut", "cre"), email = "belaybirlie.yimer@manchester.ac.uk", comment = c(ORCID = "0000-0001-8621-6539")), person(given = "Mark", family = "Lunt", role = c("aut")), person(given = "Marcus", family = "Beasley", role = c("aut")), person(given = " Gary J ", family = "Macfarlane", role = c("aut")), person(given = "John", family = "McBeth", role = c("aut"))) Description: Performs parametric mediation analysis using the Bayesian g-formula approach for binary and continuous outcomes. The methodology is based on Comment (2018) and a demonstration of its application can be found at Yimer et al. (2022) . Encoding: UTF-8 RoxygenNote: 7.2.1 Biarch: true 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) SystemRequirements: GNU make Suggests: knitr, rmarkdown VignetteBuilder: knitr LazyData: true License: MIT + file LICENSE NeedsCompilation: yes Packaged: 2026-10-29 11:07:47 UTC; root Author: Belay Birlie Yimer [aut, cre] (), Mark Lunt [aut], Marcus Beasley [aut], Gary J Macfarlane [aut], John McBeth [aut] Maintainer: Belay Birlie Yimer Config/pak/sysreqs: make Repository: https://cran.r-universe.dev Date/Publication: 2024-02-01 02:33:49 UTC RemoteUrl: https://github.com/cran/BayesGmed RemoteRef: HEAD RemoteSha: 183778a10f6f51035dfda55f99e93b3b3308fa3c