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BayesGmed: Bayesian Causal Mediation Analysis using 'Stan'
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
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.