ordinal

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.

Last 30 days

This package has been downloaded 69,633 times in the last 30 days. This work is reaching a lot of screens. A significant achievement indeed! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3,217 times.

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Last 365 days

This package has been downloaded 644,470 times in the last 365 days. Half a million downloads! This work is now a household name in certain academic circles. The day with the most downloads was Apr 16, 2025 with 3,217 downloads.

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