Variational Bayes Spike Regression Regularized Linear Models
Description
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.