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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.
Package details |
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Author | Pat Callahan [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-1769-7580>) |
Maintainer | Pat Callahan <patricktcallahan18@gmail.com> |
License | MIT + file LICENSE |
Version | 0.2.2 |
URL | https://github.com/NeuroShepherd/ordinalsimr https://neuroshepherd.github.io/ordinalsimr/ |
Package repository | View on CRAN |
Installation |
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