Package: quantbayes 0.1.0

Dylan Lawless
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>.
Authors:
quantbayes_0.1.0.tar.gz
quantbayes_0.1.0.tar.gz(r-4.7-any)quantbayes_0.1.0.tar.gz(r-4.6-any)
quantbayes_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
quantbayes/json (API)
| # Install 'quantbayes' in R: |
| install.packages('quantbayes', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- core_test_data - Example binary evidence dataset for Quant ES
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:d37e3ab649. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 142 | ||
| source / vignettes | OK | 245 | ||
| linux-release-x86_64 | OK | 145 | ||
| wasm-release | OK | 137 |
Exports:quant_es_corequant_es_from_binary_tablequant_es_plots
Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Example binary evidence dataset for Quant ES | core_test_data |
| QuantBayES Universal Bayesian Evidence Sufficiency Scoring | quant_es_core |
| Read a flat binary table and run quant_es_core | quant_es_from_binary_table |
| quantbayes plotting utilities | quant_es_plots |