MVN for jamovi – v0.1.0 (Initial Release)

[fbartuyurdacan]

MVN for jamovi – v0.1.0 (Initial Release)

I'm excited to share the first release of the MVN module for jamovi, bringing comprehensive multivariate normality testing to a point-and-click interface.

This module builds upon the MVN R package originally developed by Korkmaz, Goksuluk & Zararsiz (2014), extending it as a fully interactive jamovi module with visual diagnostics.

Features:

- 6 multivariate normality tests (Mardia, Henze-Zirkler, Henze-Wagner, Royston, Doornik-Hansen, Energy)
- 5 univariate normality tests (Anderson-Darling, Shapiro-Wilk, Shapiro-Francia, Cramér-von Mises, Lilliefors)
- Diagnostic plots: Q-Q plots, box plots, histograms with normal overlay
- Multivariate outlier detection (quantile & adjusted methods)
- Power transformations (Box-Cox, Yeo-Johnson) and missing data handling
- Bootstrap resampling for p-value estimation

Free to download and install:
https://lnkd.in/dgeqigdF

Reference:
Korkmaz, S., Goksuluk, D., & Zararsiz, G. (2014). MVN: An R Package for Assessing Multivariate Normality. The R Journal, 6(2), 151–162.