mnonr
1.0.1A Generator of Multivariate Non-Normal Random Numbers
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-05-2313 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-109 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 33%
Downloads
Dependencies
Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- 1.0.1Latest
- RR 4.6.0 released · 2026-04-24
- 1.0.02026-03-10
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2020-02-11
- Total releases
- 2 / 6 yrs
- License
- GPL-2 | GPL-3 OSI
- Minimum R
- ≥ 3.1.0
- Download size
- 10 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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