Regression Models for Ordinal Data CRAN Task View: Econometrics (http://CRAN.R-project.org/view=Econometrics) This package implements 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). 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. Software Depends: R (>= 2.13.0), MASS, ucminf, Matrix, Imports: numDeriv Suggests: lme4, nnet, xtable Rune Haubo B Christensen <rhbc@imm.dtu.dk> Rune Haubo B Christensen GPL (>= 2) 2012-01-20 application/tgz http://CRAN.R-project.org/package=ordinal