bayesGDS: Scalable Rejection Sampling for Bayesian Hierarchical Models

Functions for implementing the Braun and Damien (2015) rejection sampling algorithm for Bayesian hierarchical models. The algorithm generates posterior samples in parallel, and is scalable when the individual units are conditionally independent.

Package details

AuthorMichael Braun [aut, cre, cph]
MaintainerMichael Braun <>
LicenseMPL (== 2.0)
Package repositoryView on CRAN
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bayesGDS documentation built on May 29, 2017, 11:26 p.m.