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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "BayesVolcano" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'BayesVolcano: Creating Volcano Plots from Bayesian Model Posteriors'
version: 1.0.1
doi: 10.32614/CRAN.package.BayesVolcano
abstract: 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.
authors:
- family-names: Danielzik
  given-names: Katja
  email: katja.danielzik@uni-due.de
  orcid: https://orcid.org/0009-0007-5021-6212
- family-names: Kitanovski
  given-names: Simo
  orcid: https://orcid.org/0000-0003-2909-5376
- family-names: Hoffmann
  given-names: Daniel
  orcid: https://orcid.org/0000-0003-2973-7869
repository: https://katjadanielzik.r-universe.dev
repository-code: https://github.com/KatjaDanielzik/BayesVolcano
commit: db034502788f72e8e5ec6f23a0f9339a2c46f481
url: https://github.com/KatjaDanielzik/BayesVolcano
date-released: '2026-04-28'
contact:
- family-names: Danielzik
  given-names: Katja
  email: katja.danielzik@uni-due.de
  orcid: https://orcid.org/0009-0007-5021-6212