Likelihood-Based Evidence Ratios for Classical Statistical Tests

Implements likelihood-based evidence ratios for unified reporting in classical statistical testing. The package reports effect estimates, uncertainty intervals, and likelihood ratios on the log 10 scale derived from a single statistical model. It applies to standard normal mean tests, contingency tables, and regression coefficients, and provides a direct evidential measure while retaining classical error guarantees. For the Evidence Ratio Reporting Standard see Lawless (2026) .


Reference manual

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install.packages("evidenceratio")

0.1.0 by Dylan Lawless, 8 months ago


Browse source code at https://github.com/cran/evidenceratio


Authors: Dylan Lawless [aut, cre, cph] (ORCID:


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports stats

Suggests testthat, waldo, knitr, rmarkdown, ggplot2


See at CRAN