BayesianMediationA: Bayesian Mediation Analysis
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 |
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