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.
Version: 0.2.2 Depends: R (≥ 4.4.0) Imports: assertthat, bslib (≥ 0.9.0), callr, coin, config (≥ 0.3.1), dplyr, DT, ggplot2, golem (≥ 0.4.0), rhandsontable, rlang, rms, shiny (≥ 1.7.4), shinycssloaders, shinyWidgets, stats, tidyr, utils, withr Suggests: knitr, pkgload, purrr, rmarkdown, testthat (≥ 3.0.0), writexl Published: 2025-06-25 DOI: 10.32614/CRAN.package.ordinalsimr Author: Pat Callahan [aut, cre, cph] Maintainer: Pat Callahan <patricktcallahan18 at gmail.com> BugReports: https://github.com/NeuroShepherd/ordinalsimr/issues License: MIT + file LICENSE URL: https://github.com/NeuroShepherd/ordinalsimr, https://neuroshepherd.github.io/ordinalsimr/ NeedsCompilation: no Citation: ordinalsimr citation info Materials: README, NEWS CRAN checks: ordinalsimr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ordinalsimr to link to this page.
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