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.

Install the latest version of this package by entering the following in R:
AuthorLaurel Stell and Chiara Sabatti
Date of publication2015-11-12 19:09:21
MaintainerLaurel Stell <>
LicenseGPL (>= 2)

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