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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 |
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 |
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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