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bayesGDS (version 0.6.2)

Scalable Rejection Sampling for Bayesian Hierarchical Models

Description

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.

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Install

install.packages('bayesGDS')

Monthly Downloads

34

Version

0.6.2

License

MPL (== 2.0)

Maintainer

Michael Braun

Last Published

March 16th, 2016

Functions in bayesGDS (0.6.2)