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.

Package details

AuthorWen Qu and Zhiyong Zhang
MaintainerWen Qu <wqu@nd.edu>
LicenseGPL-2 | GPL-3
Version1.0.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mnonr")

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mnonr documentation built on Feb. 12, 2020, 1:06 a.m.