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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 |
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 |
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, catregs, clarkeTest, deeptrafo, dotwhisker, ecostats, effects, emmeans, ensemblepp, equatiomatic, generalhoslem, ggeffects, gofcat, insight, marginaleffects, nonnest2, OlinkAnalyze, parameters, PAsso, performance, RVAideMemoire, sensR, simstudy, sure, tram, tramME, tramvs |
Reverse enhances: | margins, memisc, MuMIn, prediction, stargazer, texreg |
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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.
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