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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:2023.12-4.1
Depends:R (≥ 2.13.0), stats, methods
Imports:ucminf,MASS,Matrix,numDeriv,nlme
Suggests:lme4,nnet,xtable,testthat (≥ 0.8), tools
Published:2024-08-19
DOI:10.32614/CRAN.package.ordinal
Author:Rune Haubo Bojesen Christensen [aut, cre]
Maintainer:Rune Haubo Bojesen Christensen <rune.haubo at gmail.com>
BugReports:https://github.com/runehaubo/ordinal/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://github.com/runehaubo/ordinal
NeedsCompilation:yes
Citation:ordinal citation info
Materials:NEWS
In views:Econometrics,MixedModels,Psychometrics
CRAN checks:ordinal results

Documentation:

Reference manual:ordinal.html ,ordinal.pdf
Vignettes:Cumulative Link Models for Ordinal Regression (source,R code)
clmm2 tutorial (source,R code)

Downloads:

Package source: ordinal_2023.12-4.1.tar.gz
Windows binaries: r-devel:ordinal_2023.12-4.1.zip, r-release:ordinal_2023.12-4.1.zip, r-oldrel:ordinal_2023.12-4.1.zip
macOS binaries: r-release (arm64):ordinal_2023.12-4.1.tgz, r-oldrel (arm64):ordinal_2023.12-4.1.tgz, r-release (x86_64):ordinal_2023.12-4.1.tgz, r-oldrel (x86_64):ordinal_2023.12-4.1.tgz
Old sources: ordinal archive

Reverse dependencies:

Reverse depends:metaSDTreg,RcmdrPlugin.MPAStats
Reverse imports:AutoScore,crch,drord,ecoCopula,EQUALSTATS,gomp,GRAB,jomo,optimus,pda,projpred,remiod,serp
Reverse suggests:agridat,AICcmodavg,broom,broom.helpers,broom.mixed,buildmer,car,catdata,catregs,clarkeTest,dataquieR,deeptrafo,dotwhisker,ecostats,effects,emmeans,ensemblepp,equatiomatic,generalhoslem,ggeffects,GLMcat,gofcat,insight,marginaleffects,modelbased,nonnest2,OlinkAnalyze,parameters,performance,qbrms,RVAideMemoire,sensR,simstudy,sure,tram,tramME,tramvs,unvs.med,vitals
Reverse enhances:margins,memisc,MuMIn,prediction,stargazer,texreg

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ordinalto link to this page.


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