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Programming Language :: R [Remove This Filter]
Topic :: Multivariate Statistics :: Linear Models [Remove This Filter]
Topic > Machine Learning > Regularized and Shrinkage Methods |
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2 projects in result set.
0. mboost - Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data.
For an up to date version see https://github.com/boost-R/mboost | |
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Registered: 2007-07-07 15:13 |
1. Sparsity by Quadratic Penalties - 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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Activity Percentile: 0.00 Registered: 2013-03-21 09:55 |