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GADAG

0.99.1Package record

A Genetic Algorithm for Learning Directed Acyclic Graphs

0packages depend
6.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Learns sparse large Directed Acyclic Graphs with a combination of a convex program and a tailored genetic algorithm.

Install

Health

CRAN checks
13OK
Slowest check: 2.9 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-09-17
  • NOTE14 NOTE2026-04-22
  • ERROR13 NOTE, 1 ERROR2026-04-18
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.99.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
8includes a package overview page
Examples that run
71%5 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
71%
Return-value docs
100%
Help pages citing references
38%

Downloads

6.1K
CRAN downloads in the past year
Rank #8,342 · ~17/day · ~508/mo
Daily download trend is not available in this view yet.
36430 days
1.1K90 days
6.1K1 year
Compare downloads with other packages →
Also on411 r2u2 autocran

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing GADAG adds 14 packages (9 with compiled code, 13 MB of source tarballs). Heaviest: igraph 4.8 MB, robustbase 2.2 MB, Rcpp 1.8 MB.

Depends (3)
Imports (1)
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.99.0 (2017)
Releases (2)

Pick two releases to compare their code metrics.

  • 0.99.1Latest
    record
    2026-09-10 · current release · diff ↗ ·
    added 1 export
    GADAG_CV
  • 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
  • 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
  • 0.99.0
    record
    2017-04-11
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2017-04-11
Total releases
2 / 9 yrs
License
GPL-2 OSI
Bundled data
7.8 KB / 1 file
Download size
58 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GADAG")
Champion, M., Picheny, V., & Vignes, M. (2026). GADAG: A Genetic Algorithm for Learning Directed Acyclic Graphs (Version 0.99.1) [Computer software]. https://doi.org/10.32614/CRAN.package.GADAG

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 GADAG version 0.99.1 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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