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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).
| Version: |
0.2-11 |
| Depends: |
Rcpp, ggplot2, Matrix |
| Imports: |
reshape2, methods, scales, grid, parallel |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
testthat, spelling, lars, elasticnet, glmnet |
| Published: |
2023-12-18 |
| 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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=quadrupen
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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