quadrupen (0.2-5)

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Sparsity by Worst-Case Quadratic Penalties.

http://cran.r-project.org/web/packages/quadrupen

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

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

License: GPL (>= 2)

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

Released 9 months ago.


6 previous versions

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