# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "evidenceratio" in publications use:' type: software license: MIT title: 'evidenceratio: Likelihood-Based Evidence Ratios for Classical Statistical Tests' version: 0.1.0 doi: 10.32614/CRAN.package.evidenceratio abstract: 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) . authors: - family-names: Lawless given-names: Dylan email: admin@switzerlandomics.ch orcid: https://orcid.org/0000-0001-8496-3725 repository: https://cran.r-universe.dev commit: 3de157d205c7bacb1b4850ed2f3384492b2741a5 date-released: '2026-01-21' contact: - family-names: Lawless given-names: Dylan email: admin@switzerlandomics.ch orcid: https://orcid.org/0000-0001-8496-3725