run_mvn_app

Opens the interactive Shiny interface bundled with the
 package, allowing users to explore MVN's functionality without writing
 code.

A comprehensive suite for assessing multivariate normality using six statistical tests
(Mardia, Henze–Zirkler, Henze–Wagner, Royston, Doornik–Hansen, Energy).
Also includes univariate diagnostics, bivariate density visualization, robust outlier
detection, power transformations (e.g., Box–Cox, Yeo–Johnson), and imputation strategies
("mean", "median", "mice") for handling missing data. Bootstrap resampling is supported
for selected tests to improve p-value accuracy in small samples.
Diagnostic plots are available via both 'ggplot2' and interactive 'plotly' visualizations. See Korkmaz et al. (2014) <https://journal.r-project.org/archive/2014-2/korkmaz-goksuluk-zararsiz.pdf>.

Selcuk Korkmaz

Multivariate Normality Tests

Dincer Goksuluk

Gokmen Zararsiz

run_mvn_app function

<dl><dt>...</dt>
<dd>Additional arguments passed to [shiny::runApp()], such as
`host` or `port`.</dd></dl>

Arguments

Launch the MVN Shiny application — run_mvn_app

<dl>

<dt>...</dt>
<dd>Additional arguments passed to [shiny::runApp()], such as
`host` or `port`.</dd>

</dl>

run_mvn_app: Launch the MVN Shiny application

Description

Usage

Value

Arguments

Examples