discnorm: Test for Discretized Normality in Ordinal Data
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 |
| DOI: | 10.32614/CRAN.package.discnorm |
| 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 |
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