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ordinal
View on CRAN: Click
here
Download and install ordinal package within the R console
Install from CRAN:
install.packages("ordinal")
Install from Github:
library("remotes")
install_github("cran/ordinal")
Install by package version:
library("remotes")
install_version("ordinal", "2023.12-4.1")
Attach the package and use:
library("ordinal")
Maintained by
Rune Haubo Bojesen Christensen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.ordinal . https://github.com/runehaubo/ordinal/issues . https://github.com/runehaubo/ordinal . ordinal citation info . ordinal results . ordinal.pdf . ordinal_2023.12-4.1.tar.gz . ordinal_2023.12-4.1.zip . ordinal_2023.12-4.1.zip . ordinal_2023.12-4.1.zip . ordinal_2023.12-4.1.tgz . ordinal_2023.12-4.1.tgz . ordinal_2023.12-4.1.tgz . ordinal_2023.12-4.1.tgz . ordinal archive . https://CRAN.R-project.org/package=ordinal .
First Published: 2010-03-07
Latest Update: 2023-12-04
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.
How to cite:
Rune Haubo Bojesen Christensen (2010). ordinal: Regression Models for Ordinal Data. R package version 2023.12-4.1, https://cran.r-project.org/web/packages/ordinal. Accessed 05 May. 2025.
Previous versions and publish date:
2010.03-04 (2010-03-07 18:09), 2010.04-22 (2010-04-23 10:26), 2010.05-06 (2010-05-06 23:00), 2010.05-17 (2010-05-22 08:36), 2010.06-12 (2010-06-13 10:22), 2010.07-06 (2010-07-24 22:21), 2010.07-23 (2010-09-28 15:18), 2010.12-13 (2010-12-14 16:52), 2010.12-15 (2010-12-16 13:53), 2011.04-21 (2011-05-02 12:06), 2011.05-10 (2011-05-16 14:16), 2011.08-11 (2011-08-11 12:07), 2011.08-12 (2011-08-12 22:01), 2011.09-14 (2011-09-14 08:21), 2012.01-19 (2012-01-20 11:03), 2012.09-10 (2012-09-10 12:22), 2012.09-11 (2012-09-12 07:14), 2013.9-30 (2013-09-30 12:46), 2014.11-12 (2014-11-13 14:50), 2014.11-14 (2014-11-14 14:35), 2014.12-22 (2014-12-23 16:21), 2015.1-21 (2015-01-21 21:29), 2015.6-28 (2015-06-28 16:50), 2018.4-19 (2018-04-19 21:17), 2018.8-25 (2018-08-26 00:20), 2019.3-9 (2019-03-09 13:40), 2019.4-25 (2019-04-25 22:30), 2019.12-10 (2019-12-15 23:10), 2022.11-16 (2022-11-16 23:30), 2023.12-4 (2023-12-04 12:50)
Other packages that cited ordinal R package
View ordinal citation profile
Other R packages that ordinal depends,
imports, suggests or enhances
Complete documentation for ordinal
Functions, R codes and Examples using
the ordinal R package
Some associated functions: VarCorr . addtermOld . anovaOld . clm.anova . clm.control . clm.controlOld . clm.fit . clm . clmOld . clmm.control . clmm.controlOld . clmm . clmmOld . confint.clm . confint.clmmOld . confintOld . convergence.clm . dropCoef . gfun . gumbel . income . lgamma . nominal.test . ordinal-package . predict . predictOld . ranef . slice.clm . soup . updateOld . wine .
Some associated R codes: AO.R . clm.R . clm.Thetamat.R . clm.anova.R . clm.fit.R . clm.fitter.R . clm.frames.R . clm.methods.R . clm.nominal_test.R . clm.predict.R . clm.profile.R . clm.simple.R . clm.slice.R . clm.slice2D.R . clm.start.R . clm2.R . clmm.R . clmm.formula.R . clmm.methods.R . clmm.ranef.R . clmm.ssr.R . clmm.start.R . clmm2.R . clmm2.utils.R . contrast_utils.R . control.R . convergence.R . derivatives.R . drop.coef.R . gdist.R . gumbel.R . lgamma.R . terms_utils.R . utils.R . warning_functions.R . Full ordinal package functions and examples
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