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: | 1.0.1 |
| Depends: | R (≥ 3.5.0), minqa, BB, ucminf, dfoptim |
| Imports: | MASS, pbivnorm, stats, optimx, mnormt, numDeriv, Matrix |
| Suggests: | knitr, rmarkdown, xtable, colorspace |
| Published: | 2020-05-28 |
| Author: | Rainer Hirk [aut, cre], Kurt Hornik [aut], Laura Vana [aut], Alan Genz [ctb] (Fortran Code) |
| Maintainer: | Rainer Hirk <rhirk at wu.ac.at> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Citation: | mvord citation info |
| Materials: | 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_1.0.1.tar.gz |
| Windows binaries: | r-devel: mvord_1.0.1.zip, r-release: mvord_1.0.1.zip, r-oldrel: mvord_1.0.1.zip |
| macOS binaries: | r-release: mvord_1.0.1.tgz, r-oldrel: mvord_1.0.1.tgz |
| Old sources: | mvord archive |
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