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) <>).

Version: 0.99.0
Depends: igraph, MASS
Imports: Rcpp (≥ 0.12.5)
LinkingTo: Rcpp, RcppArmadillo
Published: 2017-04-11
DOI: 10.32614/CRAN.package.GADAG
Author: Magali Champion, Victor Picheny and Matthieu Vignes
Maintainer: Magali Champion <magali.champion at>
License: GPL-2
NeedsCompilation: yes
CRAN checks: GADAG results


Reference manual: GADAG.pdf


Package source: GADAG_0.99.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GADAG_0.99.0.tgz, r-oldrel (arm64): GADAG_0.99.0.tgz, r-release (x86_64): GADAG_0.99.0.tgz, r-oldrel (x86_64): GADAG_0.99.0.tgz


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