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 nd.edu>
License:	GPL-2 | GPL-3
NeedsCompilation:	no
CRAN checks:	mnonr results

Documentation:

Reference manual:	mnonr.html , mnonr.pdf
Vignettes:	Introduction to mnonr (source, R code)

Downloads:

Package source:	mnonr_1.0.0.tar.gz
Windows binaries:	r-devel: mnonr_1.0.0.zip, r-release: mnonr_1.0.0.zip, r-oldrel: mnonr_1.0.0.zip
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

Linking:

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