ordinalsimr: Compare Ordinal Endpoints Using Simulations

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: 0.1.3
Depends: R (≥ 4.4.0)
Imports: assertthat, bslib, coin, config (≥ 0.3.1), dplyr, DT, ggplot2, golem (≥ 0.4.0), magrittr, rhandsontable, rlang, rms, shiny (≥ 1.7.4), shinycssloaders, shinydashboard, shinyWidgets, stats, tidyr, utils, withr
Suggests: callr, knitr, pkgload, purrr, rmarkdown, testthat (≥ 3.0.0), writexl
Published: 2025-01-29
DOI: 10.32614/CRAN.package.ordinalsimr
Author: Pat Callahan ORCID iD [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:

Reference manual: ordinalsimr.pdf
Vignettes: coding-simulations (source, R code)
set_options (source, R code)
Using {ordinalsimr} (source, R code)

Downloads:

Package source: ordinalsimr_0.1.3.tar.gz
Windows binaries: r-devel: not available, r-release: ordinalsimr_0.1.3.zip, r-oldrel: not available
macOS binaries: r-release (arm64): ordinalsimr_0.1.3.tgz, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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