aalfons / robustHD

Robust methods for high-dimensional data, in particular linear model selection techniques based on least angle regression and sparse regression.
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Coordinate descent algorithm for lasso #24

Open aalfons opened 11 years ago

aalfons commented 11 years ago

In high dimensions, sparseLTS() may be faster if the lasso on the subsets is computed via coordinate descent. For a grid of lambda values, warm starts can probably be used (i.e., use the sparse LTS solution from the previous value of lambda as initial coefficients in the lasso fits on the subsets).