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: |
2019.12-10 |
| Depends: |
R (≥ 2.13.0), stats, methods |
| Imports: |
ucminf, MASS, Matrix, numDeriv |
| Suggests: |
lme4, nnet, xtable, testthat (≥ 0.8), tools |
| Published: |
2019-12-15 |
| 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, Psychometrics |
| CRAN checks: |
ordinal results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: |
metaSDTreg, RcmdrPlugin.MPAStats |
| Reverse imports: |
BayesOrdDesign, crch, drhur, drord, ecoCopula, GLMcat, jomo, MXM, optimus, remiod, serp, truthiness |
| Reverse suggests: |
agridat, AICcmodavg, broom, broom.helpers, buildmer, catdata, clarkeTest, dotwhisker, ecostats, effects, emmeans, ensemblepp, equatiomatic, generalhoslem, ggeffects, gofcat, insight, marginaleffects, mlt.docreg, nonnest2, OlinkAnalyze, parameters, PAsso, performance, plot3logit, RVAideMemoire, simstudy, sure, tram, tramME, tramvs |
| Reverse enhances: |
margins, memisc, MuMIn, prediction, stargazer, texreg |
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