bayesGDS: Scalable Rejection Sampling for Bayesian Hierarchical Models
Version 0.6.2

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]
Date of publication2016-03-16 18:37:03
MaintainerMichael Braun <braunm@smu.edu>
LicenseMPL (== 2.0)
Version0.6.2
URL coxprofs.cox.smu.edu/braunm
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bayesGDS")

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bayesGDS documentation built on May 29, 2017, 11:26 p.m.