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 |
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 |
Documentation:
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