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mvord: Multivariate Ordinal Regression Models

A flexible framework for fitting multivariate ordinal regression models with composite likelihood methods. Methodological details are given in Hirk, Hornik, Vana (2020) <doi:10.18637/jss.v093.i04>.

Version:1.2.6
Depends:minqa,BB,ucminf,dfoptim, R (≥ 3.5.0)
Imports:MASS,pbivnorm, stats,optimx,mnormt,numDeriv,Matrix,mvtnorm
Suggests:knitr,rmarkdown,xtable,colorspace,VGAM
Published:2025-06-02
DOI:10.32614/CRAN.package.mvord
Author:Rainer Hirk [aut], Kurt HornikORCID iD [aut], Laura VanaORCID iD [aut, cre], Alan Gentz [ctb]
Maintainer:Laura Vana <laura.vana at tuwien.ac.at>
BugReports:https://github.com/lauravana/mvord/issues
License:GPL-3
URL:https://github.com/lauravana/mvord
NeedsCompilation:yes
Materials:README,NEWS
CRAN checks:mvord results

Documentation:

Reference manual:mvord.html ,mvord.pdf
Vignettes:mvord: Additional examples (source,R code)
mvord: An R Package for Fitting Multivariate Ordinal Regression Models (source,R code)

Downloads:

Package source: mvord_1.2.6.tar.gz
Windows binaries: r-devel:mvord_1.2.6.zip, r-release:mvord_1.2.6.zip, r-oldrel:mvord_1.2.6.zip
macOS binaries: r-release (arm64):mvord_1.2.6.tgz, r-oldrel (arm64):mvord_1.2.6.tgz, r-release (x86_64):mvord_1.2.6.tgz, r-oldrel (x86_64):mvord_1.2.6.tgz
Old sources: mvord archive

Linking:

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


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