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quadrupen  

Sparsity by Worst-Case Quadratic Penalties
View on CRAN: Click here


Download and install quadrupen package within the R console
Install from CRAN:
install.packages("quadrupen")

Install from Github:
library("remotes")
install_github("cran/quadrupen")

Install by package version:
library("remotes")
install_version("quadrupen", "0.2-13")



Attach the package and use:
library("quadrupen")
Maintained by
Julien Chiquet
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-10-10
Latest Update: 2024-06-25
Description:
Fits classical sparse regression models with efficient active set algorithms by solving quadratic problems as described by Grandvalet, Chiquet and Ambroise (2017) . Also provides a few methods for model selection purpose (cross-validation, stability selection).
How to cite:
Julien Chiquet (2012). quadrupen: Sparsity by Worst-Case Quadratic Penalties. R package version 0.2-13, https://cran.r-project.org/web/packages/quadrupen. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1-0 (2012-10-10 07:41), 0.2-0 (2013-02-26 22:13), 0.2-1 (2013-02-27 14:29), 0.2-2 (2013-04-08 18:08), 0.2-3 (2013-09-30 17:42), 0.2-4 (2014-01-16 16:32), 0.2-5 (2017-03-07 01:05), 0.2-6 (2018-04-30 15:22), 0.2-7 (2019-08-28 12:30), 0.2-8 (2020-11-18 10:00), 0.2-9 (2022-08-25 11:10), 0.2-10 (2023-01-16 17:50), 0.2-11 (2023-12-18 10:50), 0.2-12 (2024-06-25 14:10)
Other packages that cited quadrupen R package
View quadrupen citation profile
Other R packages that quadrupen depends, imports, suggests or enhances
Complete documentation for quadrupen
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