Package: GADAG 0.99.0
Magali Champion
GADAG: A Genetic Algorithm for Learning Directed Acyclic Graphs
Sparse large Directed Acyclic Graphs learning with a combination of a convex program and a tailored genetic algorithm (see Champion et al. (2017) <https://hal.archives-ouvertes.fr/hal-01172745v2/document>).
Authors:
GADAG_0.99.0.tar.gz
GADAG_0.99.0.tar.gz(r-4.5-noble)GADAG_0.99.0.tar.gz(r-4.4-noble)
GADAG_0.99.0.tgz(r-4.4-emscripten)GADAG_0.99.0.tgz(r-4.3-emscripten)
GADAG.pdf |GADAG.html✨
GADAG/json (API)
| # Install 'GADAG' in R: |
| install.packages('GADAG', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- toy_data - Toy data for running GADAG
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:40902c5013. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 09 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 09 2024 |
Exports:evaluationfitnessGADAG_AnalyzeGADAG_RungenerateToyData
Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMASSMatrixpkgconfigRcppRcppArmadillorlangvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| A Genetic Algorithm for Learning Directed Acyclic Graphs | GADAG |
| Evaluate the fitness of a population | evaluation |
| Compute the fitness of a potential solution | fitness |
| Analyze GADAG results. | GADAG_Analyze |
| Run GADAG | GADAG_Run |
| Generate toy data for running GADAG | generateToyData |
| Toy data for running GADAG | toy_data |
