MVN is an R package that provides a comprehensive and user-friendly framework for assessing multivariate normality—a key assumption in many multivariate statistical methods such as:
Multivariate normality is often overlooked or improperly tested. The MVN package addresses this by integrating robust numerical tests, graphical diagnostics, and transformation tools, offering clear insights into the distributional characteristics of your multivariate data.
To install the latest version from CRAN:
install.packages("MVN")
To install the development version from GitHub:
::install_github("selcukorkmaz/MVN") devtools
library(MVN)
# Run MVN tests and diagnostics on iris data
<- mvn(
result data = iris[1:50, 1:3],
mvn_test = "hz"
)
# View results
summary(result, "mvn")
For grouped analysis:
mvn(data = iris, subset = "Species", mvn_test = "hz")
Explore MVN’s features via a user-friendly web interface: http://biosoft.erciyes.edu.tr/app/MVN
Full documentation and an interactive tutorial site are available at: https://selcukorkmaz.github.io/mvn-tutorial/
Please cite MVN in your publications using:
Korkmaz S, Goksuluk D, Zararsiz G. MVN: An R Package for Assessing Multivariate Normality. The R Journal. 2014; 6(2):151-162. https://journal.r-project.org/archive/2014-2/korkmaz-goksuluk-zararsiz.pdf
MVN is released under the MIT license.