Package: ordinal
Type: Package
Title: Regression Models for Ordinal Data
Version: 2015.6-28
Date: 2015-06-28
Authors@R: person(given="Rune Haubo Bojesen", family="Christensen",
email="rune.haubo@gmail.com", role=c("aut", "cre"))
LazyData: true
ByteCompile: yes
Depends: R (>= 2.13.0), methods
Imports: ucminf, MASS, Matrix
Suggests: lme4, nnet, xtable, testthat (>= 0.8)
Description: 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.
License: GPL (>= 2)
Packaged: 2015-06-28 11:21:15 UTC; rhbc
Author: Rune Haubo Bojesen Christensen [aut, cre]
Maintainer: Rune Haubo Bojesen Christensen <rune.haubo@gmail.com>
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-06-28 16:50:54

Suggests: lme4, nnet, xtable, testthat (>= 0.8), tools

Package: ordinal
Type: Package
Title: Regression Models for Ordinal Data
Version: 2022.11-16
Date: 2022-11-16
Authors@R: person(given="Rune Haubo Bojesen", family="Christensen",
email="rune.haubo@gmail.com", role=c("aut", "cre"))
LazyData: true
ByteCompile: yes
Depends: R (>= 2.13.0), stats, methods
Imports: ucminf, MASS, Matrix, numDeriv, nlme
Suggests: lme4, nnet, xtable, testthat (>= 0.8), tools
Description: 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.
License: GPL (>= 2)
NeedsCompilation: yes
URL: https://github.com/runehaubo/ordinal
BugReports: https://github.com/runehaubo/ordinal/issues
Packaged: 2022-11-16 08:47:20 UTC; rhbc
Author: Rune Haubo Bojesen Christensen [aut, cre]
Maintainer: Rune Haubo Bojesen Christensen <rune.haubo@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-16 22:30:02 UTC