Package: mnonr 1.0.0
Wen Qu
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.
Authors:
mnonr_1.0.0.tar.gz
mnonr_1.0.0.tar.gz(r-4.5-noble)mnonr_1.0.0.tar.gz(r-4.4-noble)
mnonr_1.0.0.tgz(r-4.4-emscripten)mnonr_1.0.0.tgz(r-4.3-emscripten)
mnonr.pdf |mnonr.html✨
mnonr/json (API)
| # Install 'mnonr' in R: |
| install.packages('mnonr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:241598bb28. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 01 2025 |
| R-4.5-linux | OK | Feb 01 2025 |
Dependencies:
