Package: ordinal
Type: Package
Title: Regression Models for Ordinal Data
Version: 2011.08-11
Date: 2010-08-11
Author: Rune Haubo B Christensen
Maintainer: Rune Haubo B Christensen <rhbc@imm.dtu.dk>
Imports: numDeriv
Depends: MASS, ucminf, Matrix
Suggests: lme4, nnet, xtable
Description: 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.
License: GPL (>= 2)
Packaged: 2011-08-11 09:35:47 UTC; s020525
Repository: CRAN
Date/Publication: 2011-08-11 10:07:13

Package: ordinal
Type: Package
Title: Regression Models for Ordinal Data
Version: 2011.08-12
Date: 2010-08-12
Author: Rune Haubo B Christensen
Maintainer: Rune Haubo B Christensen <rhbc@imm.dtu.dk>
Imports: numDeriv
Depends: R (>= 2.13.0), MASS, ucminf, Matrix,
Suggests: lme4, nnet, xtable
Description: 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.
License: GPL (>= 2)
Packaged: 2011-08-12 18:31:58 UTC; s020525
Repository: CRAN
Date/Publication: 2011-08-12 20:01:47