Reference
Package: mnonr 1.0.1
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_1.0.1.tar.gz
mnonr_1.0.1.tar.gz(r-4.7-any)mnonr_1.0.1.tar.gz(r-4.6-any)
mnonr_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
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 from:fde3f21b30. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 151 | ||
| source / vignettes | OK | 155 | ||
| linux-release-x86_64 | OK | 115 | ||
| wasm-release | OK | 1554 |
Dependencies:
