r-cran-ordinal 2019.12-10-1 (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.