r-cran-ordinal 2019.12-10-1build1 (amd64 binary) in ubuntu groovy

 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.