Generation of Multivariate Ordinal Variates
Overview
A method for multivariate ordinal data generation given marginal distributions and correlation matrix based on the methodology proposed by Demirtas (2006) DOI:10.1080/10629360600569246.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 10includes a package overview page
- Examples that run
- 0%6 never run
- Exported functions with examples
- 67%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 10%
Downloads
Dependencies
Installing MultiOrd adds 5 packages (2 with compiled code, 3.8 MB of source tarballs). Heaviest: GPArotation 1.6 MB, psych 1.1 MB, mvtnorm 1.0 MB.
Code & Tests
People & History
Previously maintained by Anup Amatya (1.0 to 2.3).
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 2.4.4Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 2.4.32021-03-05 · diff ↗
- 2.4.22020-05-02 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 2.4.12019-05-14 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 2.42019-03-03 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 2.32018-02-11 · diff ↗
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2012-05-18
- Total releases
- 10 / 14 yrs
- License
- GPL-2 OSI
- Download size
- 6.6 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("MultiOrd")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.