quadrupen0.2-13 package

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).

  • Maintainer: Julien Chiquet
  • License: GPL (>= 3)
  • Last published: 2025-10-09