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Source: r-cran-ordinal
Section: gnu-r
Priority: optional
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders: Andreas Tille <tille@debian.org>
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
Standards-Version: 4.7.0
Rules-Requires-Root: no
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.
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