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).
| Version: | 1.0-0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | dplyr, ggplot2, grid, Matrix, methods, parallel, R6, Rcpp, rlang, scales, tidyr, lifecycle |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | elasticnet, glmnet, igraph, knitr, lars, MASS, ncvreg, grpreg, rmarkdown, testthat |
| Published: | 2026-06-05 |
| DOI: | 10.32614/CRAN.package.quadrupen |
| Author: | Julien Chiquet 
[aut, cre] |
| Maintainer: | Julien Chiquet <julien.chiquet at inrae.fr> |
| BugReports: | https://github.com/jchiquet/quadrupen/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/jchiquet/quadrupen, https://jchiquet.github.io/quadrupen/ |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Language: | en-US |
| Citation: | quadrupen citation info |
| Materials: | README, NEWS |
| CRAN checks: | quadrupen results |
Documentation:
| Reference manual: | quadrupen.html , quadrupen.pdf |
| Vignettes: |
group-sparse-regression (source, R code) lava (source, R code) quadrupen-basics (source, R code) structured-signal-recovery (source, R code) |
Downloads:
| Package source: | quadrupen_1.0-0.tar.gz |
| Windows binaries: | r-devel: quadrupen_0.2-13.zip, r-release: quadrupen_0.2-13.zip, r-oldrel: quadrupen_0.2-13.zip |
| macOS binaries: | r-release (arm64): quadrupen_1.0-0.tgz, r-oldrel (arm64): quadrupen_1.0-0.tgz, r-release (x86_64): quadrupen_1.0-0.tgz, r-oldrel (x86_64): quadrupen_1.0-0.tgz |
| Old sources: | quadrupen archive |
Linking:
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