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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling source/ R- | mnonr_1.0.0.tar.gz |
8.3 KiB |
1.0.0 |
latest source/ R- | mnonr_1.0.0.tar.gz |
8.3 KiB |
1.0.0 |
2026-04-23 source/ R- | mnonr_1.0.0.tar.gz |
8.3 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | mnonr_1.0.0.zip |
36.6 KiB |