Package: BayesVolcano
Title: Creating Volcano Plots from Bayesian Model Posteriors
Version: 1.0.1
Authors@R: 
  c(person(given="Katja",family= "Danielzik", email="katja.danielzik@uni-due.de", 
           role = c("aut", "cre","cph"),
           comment=c(ORCID="0009-0007-5021-6212")),
    person(given="Simo",family="Kitanovski",role=c("aut","ctb"),
           comment=c(ORCID="0000-0003-2909-5376")),
    person(given="Daniel",family="Hoffmann",role="aut",
           comment=c(ORCID="0000-0003-2973-7869")))
URL: https://github.com/KatjaDanielzik/BayesVolcano
BugReports: https://github.com/KatjaDanielzik/BayesVolcano/issues
Description: 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.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 4.5)
Imports: ggplot2, HDInterval, purrr, dplyr, magrittr, tidyr
Suggests: brms, rstan, knitr, rmarkdown, testthat (>= 3.0.0)
LazyData: true
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-26 14:08:41 UTC; katja
Author: Katja Danielzik [aut, cre, cph] (ORCID:
    <https://orcid.org/0009-0007-5021-6212>),
  Simo Kitanovski [aut, ctb] (ORCID:
    <https://orcid.org/0000-0003-2909-5376>),
  Daniel Hoffmann [aut] (ORCID: <https://orcid.org/0000-0003-2973-7869>)
Maintainer: Katja Danielzik <katja.danielzik@uni-due.de>
Repository: CRAN
Date/Publication: 2026-03-31 09:50:15 UTC
Built: R 4.6.0; ; 2026-04-26 16:31:38 UTC; unix
