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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 01 variables indicating if each covariate belongs to the model for each response.
Package details 


Author  Laurel Stell and Chiara Sabatti 
Date of publication  20151112 19:09:21 
Maintainer  Laurel Stell <lstell@stanford.edu> 
License  GPL (>= 2) 
Version  1.14 
URL  web.stanford.edu/~lstell/ptycho/ 
Package repository  View on CRAN 
Installation 
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