SCM

Sparsity by Quadratic Penalties: Project Home – R-Forge

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This package fits classical sparse regression models with efficient active set algorithms by solving quadratic problems. Also provides a few methods for model selection purpose (cross-validation, stability selection).

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Vienna University of Economics and Business University of Wisconsin - Madison Powered By FusionForge