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BayesVolcano  

Creating Volcano Plots from Bayesian Model Posteriors
View on CRAN: Click here


Download and install BayesVolcano package within the R console
Install from CRAN:
install.packages("BayesVolcano")

Install from Github:
library("remotes")
install_github("cran/BayesVolcano")

Install by package version:
library("remotes")
install_version("BayesVolcano", "1.0.1")



Attach the package and use:
library("BayesVolcano")
Maintained by
Katja Danielzik
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-31
Latest Update: 2026-03-31
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.
How to cite:
Katja Danielzik (2026). BayesVolcano: Creating Volcano Plots from Bayesian Model Posteriors. R package version 1.0.1, https://cran.r-project.org/web/packages/BayesVolcano. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for BayesVolcano
Functions, R codes and Examples using the BayesVolcano R package
Full BayesVolcano package functions and examples
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