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: | 2015.1-21 |
Depends: | R (≥ 2.13.0), methods |
Imports: | ucminf, MASS, Matrix |
Suggests: | lme4, nnet, xtable, testthat (≥ 0.8) |
Published: | 2015-01-21 |
Author: | Rune Haubo Bojesen Christensen [aut, cre] |
Maintainer: | Rune Haubo Bojesen Christensen <rhbc at dtu.dk> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Citation: | ordinal citation info |
Materials: | NEWS |
In views: | Econometrics, Psychometrics |
CRAN checks: | ordinal results |
Reference manual: | ordinal.pdf |
Vignettes: |
Analysis of ordinal data with cumulative link models clm tutorial clmm2 tutorial |
Package source: | ordinal_2015.1-21.tar.gz |
Windows binaries: | r-devel: ordinal_2015.1-21.zip, r-release: ordinal_2015.1-21.zip, r-oldrel: ordinal_2015.1-21.zip |
OS X Snow Leopard binaries: | r-release: ordinal_2015.1-21.tgz, r-oldrel: ordinal_2015.1-21.tgz |
OS X Mavericks binaries: | r-release: ordinal_2015.1-21.tgz |
Old sources: | ordinal archive |
Reverse depends: | RcmdrPlugin.MPAStats |
Reverse imports: | crch |
Reverse suggests: | AICcmodavg, catdata, lsmeans, RVAideMemoire, sensR |
Reverse enhances: | MuMIn, stargazer, texreg |