The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

sparsenet: Fit Sparse Linear Regression Models via Nonconvex Optimization

Efficient procedure for fitting regularization paths between L1 and L0, using the MC+ penalty of Zhang, C.H. (2010)<doi:10.1214/09-AOS729>. Implements the methodology described in Mazumder, Friedman and Hastie (2011) <doi:10.1198/jasa.2011.tm09738>. Sparsenet computes the regularization surface over both the family parameter and the tuning parameter by coordinate descent.

Version: 1.7
Depends: Matrix (≥ 1.0-6), shape
Imports: methods
Published: 2024-11-16
DOI: 10.32614/CRAN.package.sparsenet
Author: Trevor Hastie [aut, cre], Rahul Mazumder [aut], Jerome Friedman [aut]
Maintainer: Trevor Hastie <hastie at stanford.edu>
License: GPL-2
URL: https://hastie.su.domains/public/Papers/Sparsenet/Mazumder-SparseNetCoordinateDescent-2011.pdf
NeedsCompilation: yes
Citation: sparsenet citation info
CRAN checks: sparsenet results

Documentation:

Reference manual: sparsenet.pdf

Downloads:

Package source: sparsenet_1.7.tar.gz
Windows binaries: r-devel: sparsenet_1.7.zip, r-release: sparsenet_1.7.zip, r-oldrel: sparsenet_1.7.zip
macOS binaries: r-release (arm64): sparsenet_1.7.tgz, r-oldrel (arm64): sparsenet_1.7.tgz, r-release (x86_64): sparsenet_1.7.tgz, r-oldrel (x86_64): sparsenet_1.7.tgz
Old sources: sparsenet archive

Reverse dependencies:

Reverse imports: cmenet
Reverse suggests: BOSSreg

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sparsenet to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.