mnonr: A Generator of Multivariate Non-Normal Random Numbers

A data generator of multivariate non-normal data in R. It combines two different methods to generate non-normal data, one with user-specified multivariate skewness and kurtosis (more details can be found in the paper: Qu, Liu, & Zhang, 2019 <doi:10.3758/s13428-019-01291-5>), and the other with the given marginal skewness and kurtosis. The latter one is the widely-used Vale and Maurelli's method. It also contains a function to calculate univariate and multivariate (Mardia's Test) skew and kurtosis.

Version: 1.0.0
Depends: R (≥ 3.1.0)
Imports: stats
Suggests: MASS, knitr, rmarkdown, semTools
Published: 2020-02-11
DOI: 10.32614/CRAN.package.mnonr
Author: Wen Qu and Zhiyong Zhang
Maintainer: Wen Qu <wqu at>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: mnonr results


Reference manual: mnonr.pdf
Vignettes: Introduction to mnonr


Package source: mnonr_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mnonr_1.0.0.tgz, r-oldrel (arm64): mnonr_1.0.0.tgz, r-release (x86_64): mnonr_1.0.0.tgz, r-oldrel (x86_64): mnonr_1.0.0.tgz

Reverse dependencies:

Reverse imports: statpsych
Reverse suggests: semPower


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