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>.
Version: 0.0.3 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 Published: 2024-01-31 DOI: 10.32614/CRAN.package.BayesGmed Author: Belay Birlie Yimer [aut, cre], Mark Lunt [aut], Marcus Beasley [aut], Gary J Macfarlane [aut], John McBeth [aut] Maintainer: Belay Birlie Yimer <belaybirlie.yimer at manchester.ac.uk> License: MIT + file LICENSE NeedsCompilation: yes SystemRequirements: GNU make Materials: README NEWS CRAN checks: BayesGmed results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=BayesGmed to link to this page.
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