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).
| Version: | 0.2-13 |
| Depends: | Rcpp,ggplot2,Matrix |
| Imports: | reshape2, methods,scales, grid, parallel |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | testthat,spelling,lars,elasticnet,glmnet |
| Published: | 2025-10-09 |
| DOI: | 10.32614/CRAN.package.quadrupen |
| Author: | Julien Chiquet [aut, cre] |
| Maintainer: | Julien Chiquet <julien.chiquet at inrae.fr> |
| BugReports: | https://github.com/jchiquet/quadrupenCRAN/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/jchiquet/quadrupenCRAN |
| NeedsCompilation: | yes |
| Language: | en-US |
| Citation: | quadrupen citation info |
| Materials: | README,NEWS |
| CRAN checks: | quadrupen results |
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