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.
- Version1.0.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release02/11/2020
Documentation
Team
Wen Qu
Zhiyong Zhang
Insights
Last 30 days
This package has been downloaded 381 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 22 times.
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Last 365 days
This package has been downloaded 4,354 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jan 29, 2025 with 117 downloads.
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Dependencies
- Suggests4 packages
- Reverse Imports1 package
- Reverse Suggests1 package