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  "URL": "https://connordonegan.github.io/geostan/",
  "BugReports": "https://github.com/ConnorDonegan/geostan/issues",
  "Authors@R": "c(\nperson(\"Connor\", \"Donegan\", , \"connor.donegan@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-9698-5443\")),\nperson(\"Mitzi\", \"Morris\", role = \"ctb\"),\nperson(\"Amy\", \"Tims\", role = \"ctb\")\n)",
  "Description": "For spatial data analysis; provides exploratory spatial\nanalysis tools, spatial regression, spatial econometric, and\ndisease mapping models, model diagnostics, and special methods\nfor inference with small area survey data (e.g., the America\nCommunity Survey (ACS)) and censored population health\nmonitoring data. Models are pre-specified using the Stan\nprogramming language, a platform for Bayesian inference using\nMarkov chain Monte Carlo (MCMC). References: Carpenter et al.\n(2017) <doi:10.18637/jss.v076.i01>; Donegan (2021)\n<doi:10.31219/osf.io/3ey65>; Donegan (2022)\n<doi:10.21105/joss.04716>; Donegan, Chun and Hughes (2020)\n<doi:10.1016/j.spasta.2020.100450>; Donegan, Chun and Griffith\n(2021) <doi:10.3390/ijerph18136856>; Morris et al. (2019)\n<doi:10.1016/j.sste.2019.100301>.",
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        "priors",
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        "residuals.geostan_fit",
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        "spatial.geostan_fit"
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