Package: vbsr
Type: Package
Title: Variational Bayes Spike Regression Regularized Linear Models
Version: 0.0.5
Date: 2014-06-05
Author: Benjamin Logsdon
Maintainer: Benjamin Logsdon <ben.logsdon@sagebase.org>
Depends: R (>= 3.0.0)
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.
License: GPL-2
Copyright: Benjamin Logsdon 2014
Packaged: 2014-06-05 19:33:10 UTC; blogsdon
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-06-05 22:50:33
Built: R 4.0.2; x86_64-apple-darwin17.0; 2020-07-15 21:23:36 UTC; unix
Archs: vbsr.so.dSYM
