quadrupen (0.2-7)

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Sparsity by Worst-Case Quadratic Penalties.


Fits classical sparse regression models with efficient active set algorithms by solving quadratic problems as described in . Also provides a few methods for model selection purpose (cross-validation, stability selection).

Maintainer: Julien Chiquet
Author(s): Julien Chiquet [aut, cre]

License: GPL (>= 3)

Uses: ggplot2, Matrix, Rcpp, reshape2, scales, testthat

Released 7 months ago.

8 previous versions



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