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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 (may not be active yet) |
| Author: |
Dylan Lawless 
[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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=quantbayes
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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