Source: r-cran-ordinal
Standards-Version: 4.7.3
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Andreas Tille <tille@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
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,
 architecture-is-64-bit,
 architecture-is-little-endian,
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

Package: r-cran-ordinal
Architecture: any
Depends:
 ${R:Depends},
 ${shlibs:Depends},
 ${misc:Depends},
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
Description: 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.
