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Efficient algorithm for solving ultrasparse 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 type1 error included in this package.
Package details 


Author  Benjamin Logsdon 
Date of publication  20140605 22:50:33 
Maintainer  Benjamin Logsdon <ben.logsdon@sagebase.org> 
License  GPL2 
Version  0.0.5 
Package repository  View on CRAN 
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