A Genetic Algorithm for Learning Directed Acyclic Graphs
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6.1Kdownloads / year
–test coverage
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Overview
About
Maintained by Magali ChampionCRAN page ↗
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
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
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.
Imports (1)
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Code & Tests
Datasets
People & History
People (3)
Releases (2)
Pick two releases to compare their code metrics.
- 0.99.1Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 0.99.02017-04-11
- RR 3.3.0 released · 2016-05-03
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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
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Run in R for the authors' preferred citation:
citation("GADAG")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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