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CRAN: Package quantbayes

quantbayes: Bayesian Quantification of Evidence Sufficiency

Implements the Quantification Evidence Standard algorithm for computing Bayesian evidence sufficiency from binary evidence matrices. It provides posterior estimates, credible intervals, percentiles, and optional visual summaries. The method is universal, reproducible, and independent of any specific clinical or rule based framework. For details see The Quantitative Omics Epidemiology Group et al. (2025) <doi:10.64898/2025.12.02.25341503>.

Version: 0.1.0
Depends: R (≥ 4.1)
Imports: ggplot2, tibble, dplyr, tidyr, purrr, stats, grDevices
Suggests: knitr, rmarkdown, tidyverse
Published: 2025-12-18
DOI: 10.32614/CRAN.package.quantbayes
Author: Dylan Lawless ORCID iD [aut, cre, cph]
Maintainer: Dylan Lawless <admin at switzerlandomics.ch>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-GB
Citation: quantbayes citation info
Materials: README, NEWS
CRAN checks: quantbayes results

Documentation:

Reference manual: quantbayes.html , quantbayes.pdf
Vignettes: Bayesian Quantification of Evidence Sufficiency (source, R code)

Downloads:

Package source: quantbayes_0.1.0.tar.gz
Windows binaries: r-devel: quantbayes_0.1.0.zip, r-release: quantbayes_0.1.0.zip, r-oldrel: quantbayes_0.1.0.zip
macOS binaries: r-release (arm64): quantbayes_0.1.0.tgz, r-oldrel (arm64): quantbayes_0.1.0.tgz, r-release (x86_64): quantbayes_0.1.0.tgz, r-oldrel (x86_64): quantbayes_0.1.0.tgz

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