CRAN/E | sparsenet

sparsenet

Fit Sparse Linear Regression Models via Nonconvex Optimization

Installation

About

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.

Citation sparsenet citation info
hastie.su.domains/public/Papers/Sparsenet/Mazumder-SparseNetCoordinateDescent-2011.pdf

Key Metrics

Version 1.6
Published 2024-02-05 90 days ago
Needs compilation? yes
License GPL-2
CRAN checks sparsenet results

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Maintainer

Maintainer

Trevor Hastie

hastie@stanford.edu

Authors

Rahul Mazumder

aut

cre]
Trevor
Hastie

aut

cre]
Jerome
Friedman

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

sparsenet archive

Depends

Matrix ≥ 1.0-6
shape

Imports

methods

Reverse Imports

cmenet

Reverse Suggests

BOSSreg