Package: varbvs
Type: Package
Title: Variational inference for Bayesian variable selection
Version: 1.0
Date: 2012-03-22
Author: Peter Carbonetto
Maintainer: Peter Carbonetto <pcarbo@uchicago.edu>
Description: Implements the variational inference procedure for
        Bayesian variable selection, as described in the "Scalable
        variational inference for Bayesian variable selection in
        regression, and its accuracy in genetic association studies"
        (Bayesian Analysis 7, March 2012, pages 73-108). This software
        has been used to implement Bayesian variable selection for
        large problems with over a million variables and thousands of
        samples.
Suggests: grid, ggplot2
LazyLoad: yes
License: GPL (>= 3)
Packaged: 2012-04-10 13:23:23 UTC; pcarbo
Repository: CRAN
Date/Publication: 2012-04-10 16:26:08
Built: R 3.1.0; x86_64-apple-darwin10.8.0; 2013-10-24 14:59:47 UTC; unix
Archs: varbvs.so.dSYM
