Package: buzzMed 0.1.3

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], Chih-Chia Hsing [aut], Dexin Shi [aut]

buzzMed_0.1.3.tar.gz
buzzMed_0.1.3.zip(r-4.7-any)buzzMed_0.1.3.zip(r-4.6-any)buzzMed_0.1.3.zip(r-4.5-any)
buzzMed_0.1.3.tgz(r-4.6-any)buzzMed_0.1.3.tgz(r-4.5-any)
buzzMed_0.1.3.tar.gz(r-4.7-any)buzzMed_0.1.3.tar.gz(r-4.6-any)
buzzMed_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
buzzMed/json (API)

# Install 'buzzMed' in R:

install.packages('buzzMed', repos = c('https://olfactorybulb.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
c++– GNU Standard C++ Library v3

Datasets:

framing2 - Modified framing dataset with some dichotomization
singlespikes - Rate of action potential (i.e. firing rate) across neurons and repetitions.
sublongspikes - A subset in time of longitudinal spike train data.

On CRAN:

jags cpp

4.98 score 277 downloads 6 exports 3 dependencies

Last updated from:b40f4cd645. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	186
source / vignettes	OK	187
linux-release-x86_64	OK	185
macos-release-arm64	OK	126
macos-oldrel-arm64	OK	87
windows-devel	OK	118
windows-release	OK	104
windows-oldrel	OK	95
wasm-release	OK	104

Exports:buzzEBMcatMcatY buzzEBMcatMcontY buzzEBMcontMcatY buzzEBMcontMcontY longBMed run_parms_wizard

Dependencies:coda lattice rjags

Getting Started with buzzMed

Introduction | Basic Usage | More Information | References

Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2026-05-04
Started: 2026-05-03

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Select binary mediators using the GT-exploratory Bayesian mediation model with dichotomous dependent variables.	buzzEBMcatMcatY
Select binary mediators using the GT-exploratory Bayesian mediation model with continuous dependent variables.	buzzEBMcatMcontY
Select continuous mediators using the GT-exploratory Bayesian mediation model with dichotomous dependent variables.	buzzEBMcontMcatY
Select continuous mediators using the GT-exploratory Bayesian mediation model with continuous dependent variables.	buzzEBMcontMcontY
Modified framing dataset with some dichotomization	framing2
Select time-varying mediators using the longitudinal Bayesian mediation selection model	longBMed
Interactive Prior Specification Wizard	run_parms_wizard
Rate of action potential (i.e. firing rate) across neurons and repetitions.	singlespikes
A subset in time of longitudinal spike train data.	sublongspikes