ptycho: Bayesian Variable Selection with Hierarchical Priors
Version 1.1-4

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.

Package details

AuthorLaurel Stell and Chiara Sabatti
Date of publication2015-11-12 19:09:21
MaintainerLaurel Stell <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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ptycho documentation built on May 30, 2017, 1:13 a.m.