evidenceratio: 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) <doi:10.5281/zenodo.18261076>.

Version: 0.1.0
Depends: R (≥ 4.0)
Imports: stats
Suggests: testthat (≥ 3.1.0), waldo (≥ 0.5.0), knitr, rmarkdown, ggplot2
Published: 2026-01-21
DOI: 10.32614/CRAN.package.evidenceratio (may not be active yet)
Author: Dylan Lawless ORCID iD [aut, cre, cph]
Maintainer: Dylan Lawless <admin at switzerlandomics.ch>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-GB
Materials: NEWS
CRAN checks: evidenceratio results

Documentation:

Reference manual: evidenceratio.html , evidenceratio.pdf
Vignettes: Likelihood-Based Evidence Ratios for Classical Statistical Tests (source, R code)

Downloads:

Package source: evidenceratio_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): evidenceratio_0.1.0.tgz, r-oldrel (arm64): evidenceratio_0.1.0.tgz, r-release (x86_64): evidenceratio_0.1.0.tgz, r-oldrel (x86_64): evidenceratio_0.1.0.tgz

Linking:

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