quadrupen

cranv0.2-13

Sparsity by Worst-Case Quadratic Penalties. Fits classical sparse regression models with efficient active set algorithms by solving quadratic problems as described by Grandvalet, Chiquet and Ambroise (2017) <doi:10.48550/arXiv.1210.2077>. Also provides a few methods for model selection purpose (cross-validation, stability selection).

License GPL (>= 3)0 versions1 maintainers8 deps94 weekly dl
jchiquet/quadrupenCRAN
37
/ 100
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use with caution

[email protected] low health (37/100) — consider alternatives

  • Low health score (37/100)
Health breakdown0 – 100
10/25
maintenance
0/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

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Dependency Tree

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Dependencies (8)
Rcppggplot2Matrixreshape2methodsscalesgridparallel
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First published · 2025-10-09 08:56:22

Last updated · 2025-10-09T07:20:02+00:00

quadrupen — Health Score 37/100 | DepScope