Package: GADAG
Type: Package
Title: A Genetic Algorithm for Learning Directed Acyclic Graphs
Version: 0.99.1
Date: 2026-09-10
Authors@R: c(
    person(given = "Magali", family = "Champion", role = c("aut", "cre"), email = "magali.champion@u-paris.fr"),
    person(given = "Victor", family = "Picheny", role = "aut"),
    person(given = "Matthieu", family = "Vignes", role = "aut")
  )
Description: Learns sparse large Directed Acyclic Graphs with a
        combination of a convex program and a tailored genetic
        algorithm.
License: GPL-2
Encoding: UTF-8
Depends: igraph, MASS, cvTools
Imports: Rcpp (>= 0.12.5)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-10-16 11:00:41 UTC; root
RoxygenNote: 7.3.3
LazyData: true
Config/pak/sysreqs: libglpk-dev libxml2-dev
Repository: https://magalichampion.r-universe.dev
Date/Publication: 2026-09-16 12:48:16 UTC
RemoteUrl: https://github.com/magalichampion/gadag
RemoteRef: HEAD
RemoteSha: 77ab48a4433e1519ec65613184d154cae8625771
Author: Magali Champion [aut, cre],
  Victor Picheny [aut],
  Matthieu Vignes [aut]
Maintainer: Magali Champion <magali.champion@u-paris.fr>