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:Wen Qu and Zhiyong Zhang

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'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.78 score 2 packages 2 scripts 261 downloads 3 exports 0 dependencies

Last updated 5 years agofrom:241598bb28. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linuxOKOct 31 2024

Exports:mardiamnonrunonr

Dependencies:

Introduction to mnonr

Rendered frommnonr.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2020-02-11
Started: 2020-02-11