mnonr: A Generator of Multivariate Non-Normal Random Numbers (original) (raw)
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 |
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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 |
License: | GPL-2 | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | mnonr results |
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