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Analyzed 12 months ago. based on code collected about 1 year ago.

Project Summary

bugsParallel is a set of R functions for distributed computing with WinBUGS. BugsParallel:

Has been successfully installed on MS Windows and Mac OS X platforms. Is a modified subset of the R2WinBUGS package. Uses the R package Rmpi to implement a network of Windows workstations. Uses the rlecuyer package for parallel random number generation. When used for a Bayesian analysis, Markov chain Monte Carlo (MCMC) simulations generate samples that approximate the joint posterior distribution of the sampled parameters. The sequential nature of MCMC simulation limits the benefits of parallel computation when applied to a single chain. However parallel computation of multiple chains is an “embarassingly parallel” problem that can substantially reduce computation time and is relatively easy to implement using bugsParallel in combination with other freely available software. bugsParallel is an active, open-source project of Metrum Institute (http://metruminstitute.org).

Tags

bayesian mcmc mpi parallel_computation r winbugs

In a Nutshell, bugsparallel...

This Project has No vulnerabilities Reported Against it

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30 Day Summary

Mar 16 2016 — Apr 15 2016

12 Month Summary

Apr 15 2015 — Apr 15 2016

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