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MultiRNG

1.2.4Package record

Multivariate Pseudo-Random Number Generation

2packages dependsuggested by 1
4.2Kdownloads / year
–test coverage
11/13flavors OK

Overview

About
Maintained by Ran GaoCRAN page ↗

Pseudo-random number generation for 11 multivariate distributions: Normal, t, Uniform, Bernoulli, Hypergeometric, Beta (Dirichlet), Multinomial, Dirichlet-Multinomial, Laplace, Wishart, and Inverted Wishart. The details of the method are explained in Demirtas (2004) DOI:10.22237/jmasm/1099268340.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Ran Gao <rgao8@uic.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Hakan",
                      family = "Demirtas",
                      role = "aut"),
               person(given = "Rawan",
                      family = "Allozi",
                      role = "aut"),
               person(given = "Ran",
                      family = "Gao",
                      role = c("aut", "cre"),
                      email = "rgao8@uic.edu"))
as necessary.

CRAN check page ↗

Slowest check: 1.0 min · r-release-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.2.4
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
14includes a package overview page
Examples that run
85%11 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
43%

Downloads

4.2K
CRAN downloads in the past year
Rank #9,797 · ~11/day · ~347/mo
Daily download trend is not available in this view yet.
42330 days
1K90 days
4.2K1 year
Compare downloads with other packages →
Also on98 r2u4 autocran118 c2d4u

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing MultiRNG adds no packages beyond those that come with R.

Depends (0)
none
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Imports 2
Suggested by 1
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (from the free-text Author field) (3)
· added in 1.2

Maintainer since 1.2 (2019), previously Rawan Allozi (1.0 to 1.1)

Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.2.4Latest
    record
    2021-03-05 · current release · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.2.3
    record
    2020-03-29 · diff ↗
  • 1.2.2
    record
    2019-05-14 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.2.1
    record
    2019-02-24 · diff ↗
  • 1.2
    record
    2019-02-24 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.1
    record
    2018-01-10 · diff ↗
  • 1.0
    record
    2017-06-04
Show 1 earlier eventHide 1 earlier event
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-06-04
Total releases
7 / 9 yrs
License
GPL-2 | GPL-3 OSI
Download size
8.5 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MultiRNG")

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 MultiRNG version 1.2.4 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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