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 |
| Depends: | R (≥ 3.1.0) |
| Imports: | stats |
| Suggests: | MASS, knitr, rmarkdown, semTools |
| Published: | 2020-02-11 |
| Author: | Wen Qu and Zhiyong Zhang |
| Maintainer: | Wen Qu <wqu at nd.edu> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | mnonr results |
| Reference manual: | mnonr.pdf |
| Vignettes: |
Introduction to mnonr |
| Package source: | mnonr_1.0.0.tar.gz |
| Windows binaries: | r-devel: mnonr_1.0.0.zip, r-release: mnonr_1.0.0.zip, r-oldrel: mnonr_1.0.0.zip |
| macOS binaries: | r-release: mnonr_1.0.0.tgz, r-oldrel: mnonr_1.0.0.tgz |
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