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GenOrd

2.1.0Package record

Simulation of Discrete Random Variables with Marginal Distributions and Correlation Matrix and via a Gaussian or Student's t Copula

9packages depend
11.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

A Gaussian or Student's t copula-based procedure for generating samples from discrete random variables with prescribed correlation matrix and marginal distributions.

Install

Health

CRAN checks
13OK
Slowest check: 2.1 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 2.1.0
READMEYes · 23 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
12includes a package overview page
Examples that run
100%11 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
91%
Help pages citing references
17%

Downloads

11.1K
CRAN downloads in the past year
Rank #3,469 · ~30/day · ~926/mo
Daily download trend is not available in this view yet.
1.1K30 days
3.1K90 days
11.1K1 year
Compare downloads with other packages →
Also on209 r2u5 autocran133 c2d4u

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing GenOrd adds 6 packages (4 with compiled code, 6.6 MB of source tarballs). Heaviest: cubature 3.2 MB, Rcpp 1.8 MB, mvtnorm 1.0 MB.

Depends (0)
none
Imports (6)
Matrixmvtnormbbmlecubaturestatsutils
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
9direct
12indirect
Depends 5 · Imports 4
Depends, Imports or LinkingTo, most downloaded first

People & History

People (2)
Author, Maintainer since 1.0.1 (2012)
Listed in earlier versions (1)
Ferrari
no longer listed · 2.0.0 to 2.1.0
Releases (7)

Pick two releases to compare their code metrics.

  • 2.1.0Latest
    record
    2026-07-03 · current release · diff ↗ ·
    added 3 exports
    logLfullz, p_rect_t, pmvt.alt
  • R
    R 4.6.0 released · 2026-04-24
  • 2.0.0
    record
    2025-09-22 · diff ↗ ·
    removed 1 export
    pattern:^[[:alpha:]]+
    added 8 exports
    contord, corrcheck, estcontord, logL, logL_mle2, logLfull, ordcont, ordsample
  • 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
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.4.0
    record
    2015-09-12 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 1.3.0
    record
    2015-04-01 · diff ↗
Show 6 earlier eventsHide 6 earlier events
  • R
    R 3.1.0 released · 2014-04-10
  • 1.2.0
    record
    2014-04-01 · diff ↗ ·
    removed 1 export
    pattern:.
    added 1 export
    pattern:^[[:alpha:]]+
  • 1.1.0
    record
    2013-05-17 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
  • 1.0.1
    record
    2012-04-06
  • R
    R 2.15.0 released · 2012-03-30

Package metadata

First published
2012-04-06
Total releases
7 / 14 yrs
License
GPL-3 OSI
Download size
15 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GenOrd")
Barbiero, A., & Ferrari, P. A. (2026). GenOrd: Simulation of Discrete Random Variables with Marginal Distributions and Correlation Matrix and via a Gaussian or Student's t Copula (Version 2.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.GenOrd

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 GenOrd version 2.1.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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