Efficient algorithm for solving ultra-sparse regularized regression models using a variational Bayes algorithm with a spike (l0) prior. Algorithm is solved on a path, with coordinate updates, and is capable of generating very sparse models. There are very general model diagnostics for controling type-1 error included in this package.
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curl https://depscope.dev/api/check/conda/r-vbsrFirst published · 2021-05-23 07:18:22.534000+00:00
Last updated · 2025-09-23 14:39:34.355000+00:00