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Bayesian inference using Gibbs sampling
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<p>Bayesian inference using Gibbs sampling (BUGS) is a <a href="/facts/Statistical_software/QFqfrzWo">statistical software</a> for performing <a href="/facts/Bayesian_inference/tEpK3zLx">Bayesian inference</a> using <a href="/facts/Markov_chain_Monte_Carlo/eTjk3WQy">Markov chain Monte Carlo</a> (MCMC) methods. It was developed by <a href="/facts/David_Spiegelhalter/FRyB2wLF">David Spiegelhalter</a> at the Medical Research Council Biostatistics Unit in <a href="/facts/University_of_Cambridge/0la7aX9o">Cambridge</a> in 1989 and released as free software in 1991. </p><p>The BUGS project has evolved through four main versions: ClassicBUGS, <a href="/facts/WinBUGS/gbBkqkVX">WinBUGS</a>, <a href="/facts/OpenBUGS/bgJCVvub">OpenBUGS</a> and <a href="https://www.multibugs.org/">MultiBUGS</a>. MultiBUGS is built on the existing algorithms and tools in OpenBUGS and WinBUGS, which are no longer developed, and implements <a href="/facts/Parallel_computing/nQzcpzQt">parallelization</a> to speed up computation. Several <a href="/facts/R_(programming_language)/LSrkr8K8">R</a> packages are available, <a href="https://github.com/MultiBUGS/R2MultiBUGS">R2MultiBUGS</a> acts as an interface to MultiBUGS, while <a href="https://r-nimble.org/">Nimble</a> is an extension of the BUGS language. </p><p>Alternative implementations of the BUGS language include <a href="/facts/Just_another_Gibbs_sampler/QqUyBjYB">JAGS</a> and <a href="/facts/Stan_(software)/bjgms9k9">Stan</a>. </p>