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quantbayes (version 0.1.0)

Bayesian Quantification of Evidence Sufficiency

Description

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) .

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Version

Install

install.packages('quantbayes')

Version

0.1.0

License

MIT + file LICENSE

Maintainer

Dylan Lawless

Last Published

December 18th, 2025

Functions in quantbayes (0.1.0)

core_test_data

Example binary evidence dataset for Quant ES
quant_es_plots

quantbayes plotting utilities
quant_es_from_binary_table

Read a flat binary table and run quant_es_core
quant_es_core

QuantBayES Universal Bayesian Evidence Sufficiency Scoring