Package: GADAG 0.99.1

Magali Champion

GADAG: A Genetic Algorithm for Learning Directed Acyclic Graphs

Learns sparse large Directed Acyclic Graphs with a combination of a convex program and a tailored genetic algorithm.

Authors:Magali Champion [aut, cre], Victor Picheny [aut], Matthieu Vignes [aut]

GADAG_0.99.1.tar.gz
GADAG_0.99.1.zip(r-4.7-x86_64)GADAG_0.99.1.zip(r-4.7-arm64)GADAG_0.99.1.zip(r-4.6-x86_64)GADAG_0.99.1.zip(r-4.6-arm64)
GADAG_0.99.1.tar.gz(r-4.7-arm64)GADAG_0.99.1.tar.gz(r-4.7-x86_64)GADAG_0.99.1.tar.gz(r-4.6-arm64)GADAG_0.99.1.tar.gz(r-4.6-x86_64)
GADAG_0.99.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GADAG/json (API)

# Install 'GADAG' in R:
install.packages('GADAG', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 6 scripts 494 downloads 6 exports 17 dependencies

Last updated from:85b8add873. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK88
linux-devel-x86_64OK110
source / vignettesOK187
linux-release-arm64OK96
linux-release-x86_64OK106
windows-devel-arm64OK186
windows-devel-x86_64OK144
windows-release-arm64OK186
windows-release-x86_64OK119
wasm-releaseOK104

Exports:evaluationfitnessGADAG_AnalyzeGADAG_CVGADAG_RungenerateToyData

Dependencies:clicpp11cvToolsDEoptimRglueigraphlatticelifecyclemagrittrMASSMatrixpkgconfigRcppRcppArmadillorlangrobustbasevctrs