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GADAG  

A Genetic Algorithm for Learning Directed Acyclic Graphs
View on CRAN: Click here


Download and install GADAG package within the R console
Install from CRAN:
install.packages("GADAG")

Install from Github:
library("remotes")
install_github("cran/GADAG")

Install by package version:
library("remotes")
install_version("GADAG", "0.99.0")



Attach the package and use:
library("GADAG")
Maintained by
Magali Champion
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-11
Latest Update: 2017-04-11
Description:
Sparse large Directed Acyclic Graphs learning with a combination of a convex program and a tailored genetic algorithm (see Champion et al. (2017) ).
How to cite:
Magali Champion (2017). GADAG: A Genetic Algorithm for Learning Directed Acyclic Graphs. R package version 0.99.0, https://cran.r-project.org/web/packages/GADAG. Accessed 05 Jun. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for GADAG
Functions, R codes and Examples using the GADAG R package
Some associated functions: GADAG-package . GADAG_Analyze . GADAG_Run . evaluation . fitness . generateToyData . toy_data . 
Some associated R codes: GADAG_Analyze.R . GADAG_Run.R . RcppExports.R . chrom.R . create.population.R . crossover.R . evaluation.R . fitness.R . generateToyData.R . mutation.R . selection.R .  Full GADAG package functions and examples
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