Package: ptycho
Type: Package
Title: Bayesian Variable Selection with Hierarchical Priors
Version: 1.1-4
Author: Laurel Stell and Chiara Sabatti
Maintainer: Laurel Stell <lstell@stanford.edu>
URL: web.stanford.edu/~lstell/ptycho/
Description: 
  Bayesian variable selection for linear regression models using hierarchical
  priors. There is a prior that combines information across responses and one
  that combines information across covariates, as well as a standard spike and
  slab prior for comparison. An MCMC samples from the marginal posterior
  distribution for the 0-1 variables indicating if each covariate belongs to the
  model for each response.
License: GPL (>= 2)
Depends: R (>= 3.0.0)
Imports: coda, plyr, reshape2
Suggests: foreach, doRNG
NeedsCompilation: no
Packaged: 2015-11-12 17:53:40 UTC; lstell
Repository: CRAN
Date/Publication: 2015-11-12 19:09:21