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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: | 1.2.4 |
Depends: | minqa, BB, ucminf, dfoptim, R (≥ 3.5.0) |
Imports: | MASS, pbivnorm, stats, optimx, mnormt, numDeriv, Matrix, mvtnorm |
Suggests: | knitr, rmarkdown, xtable, colorspace, LMest, VGAM |
Published: | 2024-07-07 |
DOI: | 10.32614/CRAN.package.mvord |
Author: | Rainer Hirk [aut, cre], Kurt Hornik [aut], Laura Vana [aut], Alan Genz [ctb] (Fortran Code) |
Maintainer: | Laura Vana <laura.vana at tuwien.ac.at> |
License: | GPL-3 |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | mvord results |
Reference manual: | mvord.pdf |
Vignettes: |
mvord: Additional examples mvord: An R Package for Fitting Multivariate Ordinal Regression Models |
Package source: | mvord_1.2.4.tar.gz |
Windows binaries: | r-devel: mvord_1.2.4.zip, r-release: mvord_1.2.4.zip, r-oldrel: mvord_1.2.4.zip |
macOS binaries: | r-release (arm64): mvord_1.2.4.tgz, r-oldrel (arm64): mvord_1.2.4.tgz, r-release (x86_64): mvord_1.2.4.tgz, r-oldrel (x86_64): mvord_1.2.4.tgz |
Old sources: | mvord archive |
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