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.

Package details

AuthorRune Haubo Bojesen Christensen [aut, cre]
MaintainerRune Haubo Bojesen Christensen <rune.haubo@gmail.com>
LicenseGPL (>= 2)
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("ordinal", repos="http://R-Forge.R-project.org")

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ordinal documentation built on May 2, 2019, 5:47 p.m.