The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
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 |
| Depends: | R (≥ 2.13.0), stats, methods |
| Imports: | ucminf, MASS, Matrix, numDeriv, nlme |
| Suggests: | lme4, nnet, xtable, testthat (≥ 0.8), tools |
| Published: | 2023-12-04 |
| 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 |
| Reference manual: | ordinal.pdf |
| Vignettes: |
Cumulative Link Models for Ordinal Regression clmm2 tutorial |
| Package source: | ordinal_2023.12-4.tar.gz |
| Windows binaries: | r-devel: ordinal_2023.12-4.zip, r-release: ordinal_2023.12-4.zip, r-oldrel: ordinal_2023.12-4.zip |
| macOS binaries: | r-release (arm64): ordinal_2023.12-4.tgz, r-oldrel (arm64): ordinal_2023.12-4.tgz, r-release (x86_64): ordinal_2023.12-4.tgz, r-oldrel (x86_64): ordinal_2023.12-4.tgz |
| Old sources: | ordinal archive |
| Reverse depends: | metaSDTreg, RcmdrPlugin.MPAStats |
| Reverse imports: | AutoScore, BayesOrdDesign, crch, drord, ecoCopula, GLMcat, jomo, MXM, optimus, pda, projpred, remiod, serp |
| Reverse suggests: | agridat, AICcmodavg, broom, broom.helpers, buildmer, catdata, deeptrafo, ecostats, effects, emmeans, ensemblepp, generalhoslem, ggeffects, gofcat, insight, marginaleffects, mlt.docreg, nonnest2, OlinkAnalyze, parameters, PAsso, performance, RVAideMemoire, sensR, simstudy, sure, tram, tramME, tramvs |
| Reverse enhances: | memisc, MuMIn, prediction, stargazer, texreg |
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.
Health stats visible at Monitor.