Package: ptycho 1.1-5

ptycho: Bayesian Variable Selection with Hierarchical Priors

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.

Authors:Laurel Stell [aut, cre], Chiara Sabatti [aut]