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Description

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.
Metadata

Version

1.6

License

Unknown

Platforms (75)

    Darwin
    FreeBSD
    Genode
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    MMIXware
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