Package: mvord
Title: Multivariate Ordinal Regression Models
Version: 1.2.6
Date: 2025-06-02
Authors@R: c(
    person("Rainer", "Hirk", role = c("aut")),
    person("Kurt", "Hornik", role = c("aut"), 
           email = "kurt.hornik@wu.ac.at", 
	   comment = c(ORCID = "0000-0003-4198-9911")),
    person("Laura", "Vana", role = c("aut", "cre"), 
          email = "laura.vana@tuwien.ac.at",
          comment = c(ORCID = "0000-0002-9613-7604")),
    person("Alan", "Gentz", role = c("ctb")))
Description: 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>.
License: GPL-3
Depends: minqa, BB, ucminf, dfoptim, R (>= 3.5.0)
Imports: MASS, pbivnorm, stats, optimx, mnormt, numDeriv, Matrix,
        mvtnorm
Suggests: knitr, rmarkdown, xtable, colorspace, VGAM
VignetteBuilder: knitr
URL: https://github.com/lauravana/mvord
BugReports: https://github.com/lauravana/mvord/issues
Encoding: UTF-8
NeedsCompilation: yes
RoxygenNote: 7.3.2
Packaged: 2025-06-02 13:14:35 UTC; lauravanagur
Author: Rainer Hirk [aut],
  Kurt Hornik [aut] (ORCID: <https://orcid.org/0000-0003-4198-9911>),
  Laura Vana [aut, cre] (ORCID: <https://orcid.org/0000-0002-9613-7604>),
  Alan Gentz [ctb]
Maintainer: Laura Vana <laura.vana@tuwien.ac.at>
Repository: CRAN
Date/Publication: 2025-06-02 14:00:02 UTC
Built: R 4.5.2; x86_64-w64-mingw32; 2026-01-13 16:28:10 UTC; windows
Archs: x64
