The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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.pdf
Vignettes: Introduction to mnonr

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:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.