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:
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