In the context of Bayesian analysis, 'coda' refers to a specific R package that is designed for analyzing and visualizing Markov Chain Monte Carlo (MCMC) output. This package provides tools for summarizing, diagnosing, and plotting results obtained from MCMC simulations, facilitating the interpretation of posterior distributions. By utilizing coda, researchers can assess convergence and model performance effectively, making it an essential component for anyone working with Bayesian methods in R.
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