Package: buzzMed 0.1.2

Dingjing Shi

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.

Authors:Dingjing Shi [aut, cre], Tansu Celikel [aut], Dexin Shi [aut], Chih-Chia Hsing [ctb]

buzzMed_0.1.2.tar.gz
buzzMed_0.1.2.tar.gz(r-4.7-any)buzzMed_0.1.2.tar.gz(r-4.6-any)
buzzMed_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
buzzMed/json (API)
NEWS

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

Bug tracker:https://github.com/olfactorybulb/buzzmed/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

jagscpp

2.70 score 5 exports 3 dependencies

Last updated from:88f4767739. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK145
source / vignettesOK191
linux-release-x86_64OK141
wasm-releaseOK114

Exports:buzzEBMcatMcatYbuzzEBMcatMcontYbuzzEBMcontMcatYbuzzEBMcontMcontYrun_parms_wizard

Dependencies:codalatticerjags

Getting Started with buzzMed

Rendered fromgetting-started.Rmdusingknitr::rmarkdownon May 28 2026.

Last update: 2026-05-28
Started: 2026-05-28