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ordinal

swMATH ID: 12561
Software Authors: Rune Haubo Bojesen Christensen
Description: R package ordinal: 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.
Homepage: http://www.cran.r-project.org/web/packages/ordinal/index.html
Source Code:  https://github.com/cran/ordinal
Dependencies: R
Related Software: R; VGAM; lme4; Mlogit; rms; nnet; catdata; SAS; MASS (R); CRAN; ordinalNet; survival; pscl; brms; ROCR; ResourceSelection; fda (R); Epi; SAS/STAT; pkgdown
Cited in: 23 Publications

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