Package: BayesGmed 0.0.4

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>.

Authors:Belay Birlie Yimer [aut, cre], Mark Lunt [aut], Marcus Beasley [aut], Gary J Macfarlane [aut], John McBeth [aut]

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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BayesGmed/json (API)

# Install 'BayesGmed' in R:
install.packages('BayesGmed', repos = c('https://belayb.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/belayb/bayesgmed/issues

Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3
Datasets:
  • example_data - Example_data: A simulated data set for illustrating mediation analysis in BayesGmed.

On CRAN:

Conda:

onetbbcpp

3.30 score 4 stars 4 scripts 342 downloads 3 exports 48 dependencies

Last updated from:5504866736. Checks:13 WARNING, 1 ERROR, 1 OK. Indexed: yes.

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Exports:bayesgmedbayesgmed_sensbayesgmed_summary

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglifecycleloomagrittrmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr