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 


Maintainer  Michael Braun <[email protected]> 
License  MPL (== 2.0) 
Version  0.6.2 
URL  coxprofs.cox.smu.edu/braunm 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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