quadrupen: Sparsity by Worst-Case Quadratic Penalties

This package 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).

Version: 0.2-4
Depends: R (≥ 3.0.2), Rcpp, ggplot2, Matrix
Imports: reshape2, methods, scales, grid, parallel
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat
Published: 2014-01-16
Author: Julien Chiquet
Maintainer: Julien Chiquet <julien.chiquet at genopole.cnrs.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: quadrupen citation info
Materials: NEWS
CRAN checks: quadrupen results

Downloads:

Reference manual: quadrupen.pdf
Package source: quadrupen_0.2-4.tar.gz
MacOS X binary: quadrupen_0.2-4.tgz
Windows binary: quadrupen_0.2-4.zip
Old sources: quadrupen archive