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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:

Please use the canonical form https://CRAN.R-project.org/package=evidenceratio 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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