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: 0.2-12 Depends: Rcpp, ggplot2, Matrix Imports: reshape2, methods, scales, grid, parallel LinkingTo: Rcpp, RcppArmadillo Suggests: testthat, spelling, lars, elasticnet, glmnet Published: 2024-06-25 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=quadrupen to link to this page.
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