Generate Multivariate Discrete Data
Overview
Generate multivariate discrete data with generalized Poisson, negative binomial and binomial marginal distributions using user-specified distribution parameters and a target correlation matrix. The method is described in Cheng and Demirtas (2026) doi:10.48550/arXiv.2602.07707.
- Initial CRAN submission.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 22
- Examples that run
- 100%21 run in a plain check
- Exported functions with examples
- 95%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 5%
Downloads
Repository
6 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/ckchengtommy/multidiscreterng on 2026-10-18.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Dependencies
Installing MultiDiscreteRNG adds 13 packages (5 with compiled code, 9.5 MB of source tarballs). Heaviest: cubature 3.2 MB, Rcpp 1.8 MB, GPArotation 1.6 MB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-02-25 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-02-25
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Download size
- 21 KB
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