Package

r-ordinal

Description

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.

Note