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  "Date": "2026-01-09",
  "Title": "A Wrapper Around 'rjags' to Streamline 'JAGS' Analyses",
  "Authors@R": "c(\nperson(\"Ken\", \"Kellner\", email=\"contact@kenkellner.com\", role=c(\"cre\",\"aut\")),\nperson(\"Mike\", \"Meredith\", role=\"ctb\")\n)",
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  "Description": "A set of wrappers around 'rjags' functions to run Bayesian\nanalyses in 'JAGS' (specifically, via 'libjags').  A single\nfunction call can control adaptive, burn-in, and sampling MCMC\nphases, with MCMC chains run in sequence or in parallel.\nPosterior distributions are automatically summarized (with the\nability to exclude some monitored nodes if desired) and\nfunctions are available to generate figures based on the\nposteriors (e.g., predictive check plots, traceplots). Function\ninputs, argument syntax, and output format are nearly identical\nto the 'R2WinBUGS'/'R2OpenBUGS' packages to allow easy\nswitching between MCMC samplers.",
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  "URL": "https://kenkellner.com/jagsUI/",
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  "Repository": "https://kenkellner.r-universe.dev",
  "Date/Publication": "2026-01-29 20:34:49 UTC",
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        "jagsUI",
        "jagsUI-class"
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        "update.jagsUI",
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