ordinal (2012.01-19)
Regression Models for Ordinal Data.
http://cran.r-project.org/web/packages/ordinal
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.
Maintainer:
Rune Haubo B Christensen
Author(s): Rune Haubo B Christensen
License: GPL (>= 2)
Uses: MASS, Matrix, numDeriv, ucminf, lme4, xtable, nnet
Reverse depends: RcmdrPlugin.MPAStats, sensR
Reverse suggests: AICcmodavg
Reverse enhances: MuMIn
Released over 1 year ago.
