R Development Page
Contributed R Packages
Below is a list of all packages provided by project Regression Models for Ordinal Data.
Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).
Packages
Rufus | Runes Utility Functions | |||||||||||
This package contains various utility functions. | ||||||||||||
Version: 0.1-1 | Last change: 2014-12-29 19:27:35+01 | Rev.: 173 | ||||||||||||
Download:
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R install command:
install.packages("Rufus", repos="http://R-Forge.R-project.org") | ||||||||||||
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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. | ||||||||||
Version: 2016.12-12 | Last change: 2016-12-12 20:51:06+01 | Rev.: 184 | ||||||||||
Download:
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R install command:
install.packages("ordinal", repos="http://R-Forge.R-project.org") | ||||||||||
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ordinal2 | Regression Models for Ordinal Data | |||||||||
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. 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 etc.) in addition to profile methods and slice methods for visualizing the likelihood function and checking convergence. | ||||||||||
Version: 2011.06-9 | Last change: 2012-05-09 14:10:10+02 | Rev.: 74 | ||||||||||
Download:
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R install command:
install.packages("ordinal2", repos="http://R-Forge.R-project.org") | ||||||||||
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