ordinal (2023.12-4.1)
Published 2026-02-24 13:47:22 +00:00 by atheaadmin
Installation
options("repos" = c(getOption("repos"), c(gitea="install.packages("ordinal")About this package
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.Regression Models for Ordinal Data
Dependencies
| Imports | ucminf, MASS, Matrix, numDeriv, nlme |
| Depends | R (>= 2.13.0), stats, methods |
| Suggests | lme4, nnet, xtable, testthat (>= 0.8), tools |