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quadrupen: 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).
Getting started
Browse package contents
Package details |
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| Author | Julien Chiquet [aut, cre] (<https://orcid.org/0000-0002-3629-3429>) |
| Maintainer | Julien Chiquet <julien.chiquet@inrae.fr> |
| License | GPL (>= 3) |
| Version | 0.2-12 |
| URL | https://github.com/jchiquet/quadrupenCRAN |
| Package repository | View on CRAN |
| Installation |
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