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 ), 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.


Reference manual

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1.0.0 by Wen Qu, a year ago

Browse source code at https://github.com/cran/mnonr

Authors: Wen Qu and Zhiyong Zhang

Documentation:   PDF Manual  

GPL-2 | GPL-3 license

Imports stats

Suggests MASS, knitr, rmarkdown, semTools

See at CRAN