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).

Documentation

Manual: quadrupen.pdf
Vignette: None available.

Maintainer: Julien Chiquet <julien.chiquet at inra.fr>

Author(s): Julien Chiquet*

Install package and any missing dependencies by running this line in your R console:

install.packages("quadrupen")

Depends R (>= 3.0.2), Rcpp, ggplot2, Matrix
Imports reshape2, methods, scales, grid, parallel
Suggests testthat
Enhances
Linking to Rcpp, RcppArmadillo
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depends
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imports
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suggests
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enhances
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linking to

Package quadrupen
Materials
URL
Task Views
Version 0.2-5
Published 2017-03-07
License GPL (>= 2)
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks quadrupen check results
Package source quadrupen_0.2-5.tar.gz