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quadrupen: Sparse and Group Sparse Linear Models
Fits the solution paths of classical sparse regression models with efficient active set algorithms by solving small sub-problems. Include LASSO, SCAD, MCP, (Sparse) Group-LASSO, Cooperative-LASSO, (Group) LAVA, (Generalized) Fused-Lasso and (Generalized) Elastic-Net. Also provides methods for model selection purpose (information criteria, cross-validation, stability selection).
Package details |
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| Author | Julien Chiquet [aut, cre] (ORCID: <https://orcid.org/0000-0002-3629-3429>) |
| Maintainer | Julien Chiquet <julien.chiquet@inrae.fr> |
| License | GPL (>= 3) |
| Version | 1.1-0 |
| URL | https://github.com/jchiquet/quadrupen https://jchiquet.github.io/quadrupen/ |
| Package repository | View on CRAN |
| Installation |
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