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.

Maintainer: Rune Haubo Bojesen Christensen <rune.haubo at gmail.com>

Author(s): Rune Haubo Bojesen Christensen*

Install package and any missing dependencies by running this line in your R console:

install.packages("ordinal")

Depends R (>= 2.13.0), methods
Imports ucminf, MASS, Matrix
Suggests lme4, nnet, xtable, testthat(>=0.8)
Enhances
Linking to
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depends
RcmdrPlugin.MPAStats
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imports
clickR, crch, MXM, optimus, rcompanion, Wrapped
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suggests
agridat, AICcmodavg, catdata, dotwhisker, effects, generalhoslem, lsmeans, mlt.docreg, RVAideMemoire, sensR
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enhances
memisc, MuMIn, prediction, stargazer, texreg
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Package ordinal
Materials
URL
Task Views Econometrics , Psychometrics
Version 2015.6-28
Published 2015-06-28
License GPL (>= 2)
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks ordinal check results
Package source ordinal_2015.6-28.tar.gz