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
Author: Wen Qu and Zhiyong Zhang
Maintainer: Wen Qu <wqu at nd.edu>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: mnonr results

Downloads:

Reference manual: mnonr.pdf
Vignettes: Introduction to mnonr
Package source: mnonr_1.0.0.tar.gz
Windows binaries: r-devel: mnonr_1.0.0.zip, r-devel-gcc8: mnonr_1.0.0.zip, r-release: mnonr_1.0.0.zip, r-oldrel: mnonr_1.0.0.zip
OS X binaries: r-release: mnonr_1.0.0.tgz, r-oldrel: mnonr_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mnonr to link to this page.