Source: r-cran-ordinal Section: gnu-r Priority: optional Maintainer: Debian R Packages Maintainers Uploaders: Andreas Tille Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-ordinal Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-ordinal.git Homepage: https://cran.r-project.org/package=ordinal Rules-Requires-Root: no Standards-Version: 4.6.1 Build-Depends: debhelper-compat (= 13), dh-r, r-base-dev, r-cran-ucminf, r-cran-mass, r-cran-matrix, r-cran-numderiv, r-cran-nlme Testsuite: autopkgtest-pkg-r Package: r-cran-ordinal Architecture: any Depends: ${R:Depends}, ${shlibs:Depends}, ${misc:Depends} Recommends: ${R:Recommends} Suggests: ${R:Suggests} Description: GNU R regression models for ordinal data 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.