Package: ptycho
Type: Package
Title: Bayesian Variable Selection with Hierarchical Priors
Version: 1.1-5
Author: Laurel Stell [aut, cre],
  Chiara Sabatti [aut]
Maintainer: Laurel Stell <lstell@stanford.edu>
Authors@R: c(person(given = "Laurel",
                      family = "Stell",
                      role = c("aut", "cre"),
                      email = "lstell@stanford.edu"),
               person(given = "Chiara",
                      family = "Sabatti",
                      role = "aut"))
URL: http://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: 2025-04-08 23:12:37 UTC; lstell
Repository: CRAN
Date/Publication: 2025-04-08 23:30:07 UTC
Built: R 4.6.0; ; 2025-07-18 07:14:05 UTC; unix
