We perform general mediation analysis in the Bayesian setting using the methods described in Yu and Li (2022, ISBN:9780367365479). With the package, the mediation analysis can be performed on different types of outcomes (e.g., continuous, binary, categorical, or time-to-event), with default or user-defined priors and predictive models. The Bayesian estimates and credible sets of mediation effects are reported as analytic results.
Version: 1.0.1 Depends: R (≥ 2.14.1), survival, R2jags, car, gplots, lattice Imports: splines, methods Suggests: knitr, rmarkdown Published: 2022-09-24 DOI: 10.32614/CRAN.package.BayesianMediationA Author: Qingzhao Yu [aut, cre, cph], Bin Li [aut] Maintainer: Qingzhao Yu <qyu at lsuhsc.edu> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://cran.r-project.org/package=BayesianMediationA, https://publichealth.lsuhsc.edu/Faculty_pages/qyu/index.html NeedsCompilation: no CRAN checks: BayesianMediationA results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=BayesianMediationA to link to this page.
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