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ordinalGOF: Goodness-of-Fit Tests for Ordinal Regression Models

Provides goodness-of-fit tests for ordinal regression models, including the Fagerland-Hosmer ordinal test, reproducing same output as 'Stata'. Supports polr(), vglm(), and binary glm() models. See Fagerland and Hosmer (2013) <doi:10.1002/sim.5645> and Fagerland and Hosmer (2017) <doi:10.1177/1536867X1701700308> for details.

Version: 0.1.0
Imports: dplyr, magrittr, MASS, VGAM
Suggests: spelling
Published: 2026-04-24
DOI: 10.32614/CRAN.package.ordinalGOF
Author: Oluwafunto Aladekomo [aut, cre], Evan Kwiatkowski [aut]
Maintainer: Oluwafunto Aladekomo <oluwafunto.a.aladekomo at uth.tmc.edu>
BugReports: https://github.com/Funto-Aladekomo/ordinalGOF/issues
License: MIT + file LICENSE
URL: https://github.com/Funto-Aladekomo/ordinalGOF
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: ordinalGOF results

Documentation:

Reference manual: ordinalGOF.html , ordinalGOF.pdf

Downloads:

Package source: ordinalGOF_0.1.0.tar.gz
Windows binaries: r-release: ordinalGOF_0.1.0.zip, r-oldrel: ordinalGOF_0.1.0.zip
macOS binaries: r-release (arm64): ordinalGOF_0.1.0.tgz, r-oldrel (arm64): ordinalGOF_0.1.0.tgz, r-release (x86_64): ordinalGOF_0.1.0.tgz, r-oldrel (x86_64): ordinalGOF_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ordinalGOF to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.