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buzzMed: Bayesian Understanding for Mediator Selection Framework

A collection of quantitative tools for selecting mediating effects within exploratory Bayesian mediation models. The package accommodates both continuous and dichotomous outcomes, including the dependent variables and the mediators for identifying and analyzing mediation pathways.

Version: 0.1.2
Depends: R (≥ 4.0.0)
Imports: coda, methods, rjags, stats, utils
Suggests: knitr, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2026-05-28
DOI: 10.32614/CRAN.package.buzzMed (may not be active yet)
Author: Dingjing Shi [aut, cre], Tansu Celikel [aut], Dexin Shi [aut], Chih-Chia Hsing [ctb]
Maintainer: Dingjing Shi <dshi32 at gatech.edu>
BugReports: https://github.com/olfactorybulb/buzzMed/issues
License: GPL (≥ 3)
URL: https://github.com/olfactorybulb/buzzMed
NeedsCompilation: no
SystemRequirements: JAGS (>= 4.0.0)
Language: en-US
Materials: README, NEWS
CRAN checks: buzzMed results

Documentation:

Reference manual: buzzMed.html , buzzMed.pdf
Vignettes: Getting Started with buzzMed (source, R code)

Downloads:

Package source: buzzMed_0.1.2.tar.gz
Windows binaries: r-devel: buzzMed_0.1.2.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): buzzMed_0.1.2.tgz, r-oldrel (arm64): buzzMed_0.1.2.tgz, r-release (x86_64): buzzMed_0.1.2.tgz, r-oldrel (x86_64): buzzMed_0.1.2.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=buzzMed 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.