Skip to content

MultiDiscreteRNG

0.1.0Package record

Generate Multivariate Discrete Data

0packages depend
1.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Changes in 0.1.0
  • Initial CRAN submission.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 388 wordsVignettesNoNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION
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

1.4K
CRAN downloads in the past year
Rank #24,496 · ~4/day · ~118/mo
Daily download trend is not available in this view yet.
17630 days
48390 days
1.4K1 year
Compare downloads with other packages →
Also on44 r2u3 autocran

Repository

0Stars
0Forks
1Open issues
0Open PRs
0Releases
Last activity 2026-09-18
Responsiveness
not measured
PracticesBeta

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.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)
pkgdown
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

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.

Depends (0)
none
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 0.1.0 (2026), Copyright holder
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-02-25 · current release
  • R
    R 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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MultiDiscreteRNG")
Cheng, C. K. (., & Demirtas, H. (2026). MultiDiscreteRNG: Generate Multivariate Discrete Data (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.MultiDiscreteRNG

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MultiDiscreteRNG version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy