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BayesVolcano

1.0.1

Creating Volcano Plots from Bayesian Model Posteriors

0packages depend
954downloads / year
70.9%test coverage
13/13checks pass

Overview

About
Maintained by Katja DanielzikFirst published 2026-03-311 releasesCRAN page ↗GitHub ↗

Bayesian models are used to estimate effect sizes (e.g., gene expression changes, protein abundance differences, drug response effects) while accounting for uncertainty, small sample sizes, and complex experimental designs. However, Bayesian posteriors of models with many parameters are often difficult to interpret at a glance. One way to quickly identify important biological changes based on frequentist analysis are volcano plots (using fold-changes and p-values). Bayesian volcano plots bring together the explicit treatment of uncertainty in Bayesian models and the familiar visualization of volcano plots.

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-release-macos-x86_64
Code health
Yes
Tests · ratio 0.61
70.9%
Coverage · measured lines
100%
Documentation · exports
6
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-01
    6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 403 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

954
CRAN downloads in the past year
Rank #18,850 · ~3/day · ~80/mo
Daily download trend is not available in this view yet.
16430 days
58190 days
9541 year
Compare downloads with other packages →
Also on43 r2u26 autocran

Repository

Repository
1Stars
0Forks
0Open issues
0Open PRs
1Releases
38Commits
3Contributors
bayesianposteriorvisualizationvolcano-plot
License GPL-3.0 · 38 commits · Last activity 2026-07-07 · 0% stars, 30d

Stars over time

2026-07-07 · 02026-07-15 · 1

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/katjadanielzik/bayesvolcano on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Research and citation (1)
CITATION.cff
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.5
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (3)
Author, Maintainer, Copyright holder
Author, Contributor
Contributors (1)
Author, Contributor
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.1Latest
    2026-03-31 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-03-31
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.5
Bundled data
744 KB / 2 files
Download size
1.3 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BayesVolcano")

The authors publish a CITATION.cff, so they have said how they want this cited. Run citation() and use what it gives you.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BayesVolcano version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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