Package: mnonr
Type: Package
Title: A Generator of Multivariate Non-Normal Random Numbers
Version: 1.0.0
Author: Wen Qu and Zhiyong Zhang
Maintainer: Wen Qu <wqu@nd.edu>
Description: 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.
Depends: R (>= 3.1.0)
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats
Suggests: MASS, knitr, rmarkdown, semTools
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-02-03 18:25:33 UTC; QW
Repository: CRAN
Date/Publication: 2020-02-11 19:10:02 UTC
Built: R 4.4.0; ; 2024-04-30 08:49:01 UTC; unix
