This package is considered a duplicate. The official version of this package is found at:https://belayb.r-universe.dev/BayesGmed

Package: BayesGmed 0.0.3

Belay Birlie Yimer

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]

BayesGmed_0.0.3.tar.gz
BayesGmed_0.0.3.zip(r-4.7-x86_64)BayesGmed_0.0.3.zip(r-4.7-arm64)BayesGmed_0.0.3.zip(r-4.6-x86_64)BayesGmed_0.0.3.zip(r-4.6-arm64)
BayesGmed_0.0.3.tar.gz(r-4.7-arm64)BayesGmed_0.0.3.tar.gz(r-4.7-x86_64)BayesGmed_0.0.3.tar.gz(r-4.6-arm64)BayesGmed_0.0.3.tar.gz(r-4.6-x86_64)
BayesGmed_0.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BayesGmed/json (API)

# Install 'BayesGmed' in R:

install.packages('BayesGmed', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

onetbb cpp

2.70 score 5 scripts 296 downloads 3 exports 48 dependencies

Last updated from:183778a10f. Checks:8 NOTE, 2 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	NOTE	485
linux-devel-x86_64	NOTE	604
source / vignettes	OK	1000
linux-release-arm64	NOTE	493
linux-release-x86_64	NOTE	434
windows-devel-arm64	NOTE	612
windows-devel-x86_64	NOTE	827
windows-release-arm64	NOTE	570
windows-release-x86_64	NOTE	766
wasm-release	OK	312

Exports:bayesgmed bayesgmed_sens bayesgmed_summary

Dependencies:abind backports BH callr checkmate cli cpp11 desc distributional farver generics ggplot2 glue gridExtra gtable inline isoband labeling lifecycle loo magrittr matrixStats numDeriv otel pillar pkgbuild pkgconfig posterior processx ps QuickJSR R6 RColorBrewer Rcpp RcppEigen RcppParallel rlang rstan rstantools S7 scales StanHeaders tensorA tibble utf8 vctrs viridisLite withr

Introduction to BayesGmed

Motivation | Getting started | Example

Rendered fromIntro_to_BayesGmed.Rmdusingknitr::rmarkdown

Last update: 2023-11-10
Started: 2023-11-10

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

Package: BayesGmed 0.0.3

BayesGmed: Bayesian Causal Mediation Analysis using 'Stan'

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)