The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 ORCID iD [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:

Reference manual: BayesGmed.pdf
Vignettes: Introduction to BayesGmed

Downloads:

Package source: BayesGmed_0.0.3.tar.gz
Windows binaries: r-devel: BayesGmed_0.0.3.zip, r-release: BayesGmed_0.0.3.zip, r-oldrel: BayesGmed_0.0.3.zip
macOS binaries: r-release (arm64): BayesGmed_0.0.3.tgz, r-oldrel (arm64): BayesGmed_0.0.3.tgz, r-release (x86_64): BayesGmed_0.0.3.tgz, r-oldrel (x86_64): BayesGmed_0.0.3.tgz
Old sources: BayesGmed archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BayesGmed to link to this page.

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.