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Supported by recent advances in computational tools, Bayesian statistical methods are gaining popularity. This article compares four popular Bayesian computing platforms in R—JAGS, NIMBLE, Stan, and greta—focusing on their methodologies, efficiency, and accuracy. A simulation study evaluates their performance across various models, highlighting JAGS for simpler cases, Stan for complex models, and NIMBLE for flexibility. We provide insights to guide users in selecting the most suitable platform for their needs.

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A Practical Comparison of Bayesian Computing Platforms in R

  • 会议论文

  • 发表日期：

    2026年

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  • Evan Miyakawa,
  • David Kahle

摘要

Supported by recent advances in computational tools, Bayesian statistical methods are gaining popularity. This article compares four popular Bayesian computing platforms in R—JAGS, NIMBLE, Stan, and greta—focusing on their methodologies, efficiency, and accuracy. A simulation study evaluates their performance across various models, highlighting JAGS for simpler cases, Stan for complex models, and NIMBLE for flexibility. We provide insights to guide users in selecting the most suitable platform for their needs.