sparsenet

Fit Sparse Linear Regression Models via Nonconvex Optimization

CRAN Package

Efficient procedure for fitting regularization paths between L1 and L0, using the MC+ penalty of Zhang, C.H. (2010). Implements the methodology described in Mazumder, Friedman and Hastie (2011) . Sparsenet computes the regularization surface over both the family parameter and the tuning parameter by coordinate descent.


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  • Depends2 packages
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