Package: sparsenet
Type: Package
Title: Fit Sparse Linear Regression Models via Nonconvex Optimization
Version: 1.7
Date: 2024-11-14
Authors@R: c(person(given = "Trevor",
                    family = "Hastie",
                      role = c("aut", "cre"),
                      email = "hastie@stanford.edu"),
		      person(given = "Rahul",
                      family = "Mazumder",
                      role = c("aut")),
               person(given = "Jerome",
                      family = "Friedman",
                      role = c("aut")))
Description: 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.
Depends: Matrix (>= 1.0-6), shape
Imports: methods
License: GPL-2
NeedsCompilation: yes
URL:
        https://hastie.su.domains/public/Papers/Sparsenet/Mazumder-SparseNetCoordinateDescent-2011.pdf
RoxygenNote: 7.3.1
Packaged: 2024-11-15 01:17:01 UTC; hastie
Author: Trevor Hastie [aut, cre],
  Rahul Mazumder [aut],
  Jerome Friedman [aut]
Maintainer: Trevor Hastie <hastie@stanford.edu>
Repository: CRAN
Date/Publication: 2024-11-16 22:30:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 12:55:20 UTC; unix
Archs: sparsenet.so.dSYM
