quadrupen: Sparsity by Worst-Case Quadratic Penalties

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: 0.2-6
Depends: Rcpp, ggplot2, Matrix
Imports: reshape2, methods, scales, grid, parallel
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat
Published: 2018-04-30
Author: Julien Chiquet [aut, cre]
Maintainer: Julien Chiquet <julien.chiquet at inra.fr>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: quadrupen citation info
Materials: README NEWS
CRAN checks: quadrupen results

Downloads:

Reference manual: quadrupen.pdf
Package source: quadrupen_0.2-6.tar.gz
Windows binaries: r-devel: quadrupen_0.2-6.zip, r-release: quadrupen_0.2-6.zip, r-oldrel: quadrupen_0.2-6.zip
OS X binaries: r-release: quadrupen_0.2-6.tgz, r-oldrel: quadrupen_0.2-5.tgz
Old sources: quadrupen archive

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