ordinal (version 2023.12-4)

Regression Models for Ordinal Data

Description

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.

Copy Link

Version

Down Chevron

Install

install.packages('ordinal')

Monthly Downloads

47,073

Version

2023.12-4

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Last Published

December 4th, 2023

Functions in ordinal (2023.12-4)