magalichampion/GADAG: A Genetic Algorithm for learning Directed Acyclic Graphs

GADAG aims at learning sparse large Directed Acyclic Graphs with a combination of a convex program and a tailored genetic algorithm.

Getting started

Package details

AuthorMagali Champion, Victor Picheny and Matthieu Vignes
MaintainerMagali Champion <magali.champion@parisdescartes.fr>
LicenseGPL-2
Version0.99.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("magalichampion/GADAG")
magalichampion/GADAG documentation built on May 21, 2019, 11:04 a.m.