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


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


Please use the canonical form https://CRAN.R-project.org/package=discnorm to link to this page.