Learns sparse large Directed Acyclic Graphs with a combination of a convex program and a tailored genetic algorithm.
| Version: | 0.99.1 |
| Depends: | igraph, MASS, cvTools |
| Imports: | Rcpp (≥ 0.12.5) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2026-09-10 |
| DOI: | 10.32614/CRAN.package.GADAG |
| Author: | Magali Champion [aut, cre], Victor Picheny [aut], Matthieu Vignes [aut] |
| Maintainer: | Magali Champion <magali.champion at u-paris.fr> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | GADAG results |
| Reference manual: | GADAG.html , GADAG.pdf |
| Package source: | GADAG_0.99.1.tar.gz |
| Windows binaries: | r-devel: GADAG_0.99.1.zip, r-release: GADAG_0.99.0.zip, r-oldrel: GADAG_0.99.0.zip |
| macOS binaries: | r-release (arm64): GADAG_0.99.0.tgz, r-oldrel (arm64): GADAG_0.99.1.tgz, r-release (x86_64): GADAG_0.99.1.tgz, r-oldrel (x86_64): GADAG_0.99.1.tgz |
| Old sources: | GADAG archive |
Please use the canonical form https://CRAN.R-project.org/package=GADAG to link to this page.