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MVN: Multivariate Normality Tests
A suite of multivariate normality tests (Mardia, Henze–Zirkler, Royston,
Doornik–Hansen, Energy), univariate diagnostics, robust outlier detection,
bivariate density plots, and Box–Cox transformations (Korkmaz et al, (2014), <https://journal.r-project.org/archive/2014-2/korkmaz-goksuluk-zararsiz.pdf>).
| Version: |
6.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
methods, nortest, moments, MASS, boot, car, dplyr, tidyr, purrr, stringr, tibble, ggplot2, viridis, cli, energy, plotly |
| Published: |
2025-05-28 |
| DOI: |
10.32614/CRAN.package.MVN |
| Author: |
Selcuk Korkmaz 
[aut, cre],
Dincer Goksuluk [aut],
Gokmen Zararsiz [aut] |
| Maintainer: |
Selcuk Korkmaz <selcukorkmaz at gmail.com> |
| BugReports: |
https://github.com/selcukorkmaz/MVN/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://selcukorkmaz.github.io/mvn-tutorial/,
https://github.com/selcukorkmaz/MVN |
| NeedsCompilation: |
no |
| Citation: |
MVN citation info |
| Materials: |
README |
| CRAN checks: |
MVN results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=MVN
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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