# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ordinalsimr" in publications use:' type: software license: MIT title: 'ordinalsimr: Compare Ordinal Endpoints Using Simulations' version: 0.2.4 doi: 10.5281/zenodo.14697215 identifiers: - type: doi value: 10.32614/CRAN.package.ordinalsimr abstract: Simultaneously evaluate multiple ordinal outcome measures. Applied data analysts in particular are faced with uncertainty in choosing appropriate statistical tests for ordinal data. The included 'shiny' application allows users to simulate outcomes given different ordinal data distributions. authors: - family-names: Callahan given-names: Pat email: patricktcallahan18@gmail.com orcid: https://orcid.org/0000-0003-1769-7580 preferred-citation: type: generic title: ordinalsimr authors: - family-names: Callahan given-names: Pat email: patricktcallahan18@gmail.com orcid: https://orcid.org/0000-0003-1769-7580 doi: 10.5281/zenodo.14697215 year: '2025' month: '1' url: https://github.com/neuroshepherd/ordinalsimr date-accessed: '2025-01-19' copyright: MIT abstract: Simultaneously evaluate multiple ordinal outcome measures. Applied data analysts in particular are faced with uncertainty in choosing appropriate statistical tests for ordinal data. The included 'shiny' applications allows users to simulate outcomes given different ordinal data distributions. repository: https://neuroshepherd.r-universe.dev repository-code: https://github.com/NeuroShepherd/ordinalsimr commit: be3a192578eca1ae0386fa3858bc1205fe58612e url: https://neuroshepherd.github.io/ordinalsimr/ date-released: '2026-02-26' contact: - family-names: Callahan given-names: Pat email: patricktcallahan18@gmail.com orcid: https://orcid.org/0000-0003-1769-7580