The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

ordinal: Regression Models for Ordinal Data

Implementation of cumulative link (mixed) models also known as ordered regression models, proportional odds models, proportional hazards models for grouped survival times and ordered logit/probit/... models. Estimation is via maximum likelihood and mixed models are fitted with the Laplace approximation and adaptive Gauss-Hermite quadrature. Multiple random effect terms are allowed and they may be nested, crossed or partially nested/crossed. Restrictions of symmetry and equidistance can be imposed on the thresholds (cut-points/intercepts). Standard model methods are available (summary, anova, drop-methods, step, confint, predict etc.) in addition to profile methods and slice methods for visualizing the likelihood function and checking convergence.

Version: 2023.12-4.1
Depends: R (≥ 2.13.0), stats, methods
Imports: ucminf, MASS, Matrix, numDeriv, nlme
Suggests: lme4, nnet, xtable, testthat (≥ 0.8), tools
Published: 2024-08-19
DOI: 10.32614/CRAN.package.ordinal
Author: Rune Haubo Bojesen Christensen [aut, cre]
Maintainer: Rune Haubo Bojesen Christensen <rune.haubo at gmail.com>
BugReports: https://github.com/runehaubo/ordinal/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/runehaubo/ordinal
NeedsCompilation: yes
Citation: ordinal citation info
Materials: NEWS
In views: Econometrics, MixedModels, Psychometrics
CRAN checks: ordinal results

Documentation:

Reference manual: ordinal.pdf
Vignettes: Cumulative Link Models for Ordinal Regression (source, R code)
clmm2 tutorial (source, R code)

Downloads:

Package source: ordinal_2023.12-4.1.tar.gz
Windows binaries: r-devel: ordinal_2023.12-4.1.zip, r-release: ordinal_2023.12-4.1.zip, r-oldrel: ordinal_2023.12-4.1.zip
macOS binaries: r-release (arm64): ordinal_2023.12-4.1.tgz, r-oldrel (arm64): ordinal_2023.12-4.1.tgz, r-release (x86_64): ordinal_2023.12-4.1.tgz, r-oldrel (x86_64): ordinal_2023.12-4.1.tgz
Old sources: ordinal archive

Reverse dependencies:

Reverse depends: metaSDTreg, RcmdrPlugin.MPAStats
Reverse imports: AutoScore, BayesOrdDesign, crch, drord, ecoCopula, EQUALSTATS, jomo, MXM, optimus, pda, projpred, remiod, serp
Reverse suggests: agridat, AICcmodavg, broom, broom.helpers, broom.mixed, buildmer, car, catdata, catregs, clarkeTest, deeptrafo, dotwhisker, ecostats, effects, emmeans, ensemblepp, equatiomatic, generalhoslem, ggeffects, GLMcat, gofcat, insight, marginaleffects, nonnest2, OlinkAnalyze, parameters, PAsso, performance, RVAideMemoire, sensR, simstudy, sure, tram, tramME, tramvs
Reverse enhances: margins, memisc, MuMIn, prediction, stargazer, texreg

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ordinal 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.