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:
BayesGmed_0.0.4.tar.gz
BayesGmed_0.0.4.zip(r-4.5)BayesGmed_0.0.4.zip(r-4.4)BayesGmed_0.0.4.zip(r-4.3)
BayesGmed_0.0.4.tgz(r-4.4-x86_64)BayesGmed_0.0.4.tgz(r-4.4-arm64)BayesGmed_0.0.4.tgz(r-4.3-x86_64)BayesGmed_0.0.4.tgz(r-4.3-arm64)
BayesGmed_0.0.4.tar.gz(r-4.5-noble)BayesGmed_0.0.4.tar.gz(r-4.4-noble)
BayesGmed.pdf |BayesGmed.html✨
BayesGmed/json (API)
NEWS
# 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
- example_data - Example_data: A simulated data set for illustrating mediation analysis in BayesGmed.
Last updated 7 months agofrom:5504866736. Checks:ERROR: 1 WARNING: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | FAIL | Oct 26 2024 |
R-4.5-win-x86_64 | WARNING | Oct 26 2024 |
R-4.5-linux-x86_64 | WARNING | Oct 26 2024 |
R-4.4-win-x86_64 | WARNING | Oct 26 2024 |
R-4.4-mac-x86_64 | WARNING | Oct 26 2024 |
R-4.4-mac-aarch64 | WARNING | Oct 26 2024 |
R-4.3-win-x86_64 | WARNING | Oct 26 2024 |
R-4.3-mac-x86_64 | WARNING | Oct 26 2024 |
R-4.3-mac-aarch64 | WARNING | Oct 26 2024 |
Exports:bayesgmedbayesgmed_sensbayesgmed_summary
Dependencies:abindbackportsBHcallrcheckmateclicolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsscalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
The 'BayesGmed' package. | BayesGmed-package BayesGmed |
Estimate a causal mediation effects | bayesgmed |
Conduct sensitivity analysis for unmeasured confounder | bayesgmed_sens |
Print a summary of the estimated causal mediation model | bayesgmed_summary |
example_data: A simulated data set for illustrating mediation analysis in BayesGmed. | example_data |