Model Selection Based on Combined Penalties. This package implements a stepwise forward variable selection algorithm based on a penalized likelihood criterion that combines the L0 with L2 or L1 norms.
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Eleni Vradi, 3 years ago
Browse source code at
Imports glmnet, mvtnorm, pROC, dfoptim, caret, stats, base
See at CRAN