ordinal: Regression Models for Ordinal Data
Version 2015.6-28

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.

Package details

AuthorRune Haubo Bojesen Christensen [aut, cre]
Date of publication2015-06-28 16:50:54
MaintainerRune Haubo Bojesen Christensen <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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ordinal documentation built on May 30, 2017, 7:11 a.m.