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Tests whether multivariate ordinal data may stem from discretizing a multivariate normal distribution. The test is described by Foldnes and Grønneberg (2019) <doi:10.1080/10705511.2019.1673168>. In addition, an adjusted polychoric correlation estimator is provided that takes marginal knowledge into account, as described by Grønneberg and Foldnes (2022) <doi:10.1037/met0000495>.
| Version: | 0.2.1 |
| Imports: | lavaan (≥ 0.6.10), arules, sirt, MASS, pbivnorm, cubature, copula, mnormt, GoFKernel |
| Suggests: | knitr, rmarkdown |
| Published: | 2022-05-25 |
| Author: | Njål Foldnes [aut, cre], Steffen Grønneberg [aut] |
| Maintainer: | Njål Foldnes <njal.foldnes at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | discnorm citation info |
| Materials: | README NEWS |
| CRAN checks: | discnorm results |
| Reference manual: | discnorm.pdf |
| Vignettes: |
Discnorm: Detecting and adjusting for underlying non-normality in ordinal datasets |
| Package source: | discnorm_0.2.1.tar.gz |
| Windows binaries: | r-devel: discnorm_0.2.1.zip, r-release: discnorm_0.2.1.zip, r-oldrel: discnorm_0.2.1.zip |
| macOS binaries: | r-release (arm64): discnorm_0.2.1.tgz, r-oldrel (arm64): discnorm_0.2.1.tgz, r-release (x86_64): discnorm_0.2.1.tgz, r-oldrel (x86_64): discnorm_0.2.1.tgz |
| Old sources: | discnorm archive |
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