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  "Package": "ArchaeoChron",
  "Title": "Bayesian Modeling of Archaeological Chronologies",
  "Version": "0.2",
  "Authors@R": "c(\nperson(\"Anne\", \"Philippe\", , \"anne.philippe@univ-nantes.fr\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-5331-5087\")),\nperson(\"Marie-Anne\", \"Vibet\", role = \"aut\",\ncomment = c(ORCID = \"0000-0003-4003-3141\")),\nperson(\"Nicolas\", \"Frerebeau\", , \"nicolas.frerebeau@u-bordeaux-montaigne.fr\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0001-5759-4944\")),\nperson(\"Nantes Université\", role = \"fnd\",\ncomment = c(ROR = \"03gnr7b55\")),\nperson(\"CNRS\", role = \"fnd\",\ncomment = c(ROR = \"02feahw73\"))\n)",
  "Maintainer": "Anne Philippe <anne.philippe@univ-nantes.fr>",
  "Description": "Provides a list of functions for the Bayesian modeling of\narchaeological chronologies. The Bayesian models are\nimplemented in 'JAGS' (Plummer 2003). The inputs are\nmeasurements with their associated standard deviations and the\nstudy period. The output is the MCMC sample of the posterior\ndistribution of the event date with or without radiocarbon\ncalibration.",
  "License": "GPL (>= 3)",
  "URL": "https://ArchaeoStat.github.io/ArchaeoChron/,\nhttps://github.com/ArchaeoStat/ArchaeoChron",
  "BugReports": "https://github.com/ArchaeoStat/ArchaeoChron/issues",
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  "Repository": "https://archaeostat.r-universe.dev",
  "Date/Publication": "2025-05-14 15:05:23 UTC",
  "RemoteUrl": "https://github.com/ArchaeoStat/ArchaeoChron",
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  "Packaged": {
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  "Author": "Anne Philippe [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-5331-5087>),\nMarie-Anne Vibet [aut] (ORCID: <https://orcid.org/0000-0003-4003-3141>),\nNicolas Frerebeau [ctb] (ORCID:\n<https://orcid.org/0000-0001-5759-4944>),\nNantes Université [fnd] (ROR: <https://ror.org/03gnr7b55>),\nCNRS [fnd] (ROR: <https://ror.org/02feahw73>)",
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  "_published": "2026-06-02T16:57:18.420Z",
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    "committer": "nfrerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>",
    "message": "Prepare for next release\n",
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  "_maintainer": {
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    "email": "anne.philippe@univ-nantes.fr",
    "login": "philippe-a",
    "twitter": "@aj_phi",
    "description": "",
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  "_dependencies": [
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      "version": ">= 3.5",
      "role": "Depends"
    },
    {
      "package": "aion",
      "role": "Imports"
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    {
      "package": "ananke",
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    },
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  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
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      "week": "2025-20",
      "n": 6
    }
  ],
  "_tags": [],
  "_topics": [
    "markov-chain",
    "bayesian-statistics",
    "geochronology",
    "radiocarbon-dates",
    "archaeology",
    "archaeological-science",
    "jags",
    "cpp"
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  "_stars": 4,
  "_contributors": [
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    "type": "organization",
    "name": "ArchaeoStat",
    "description": "Bayesian chronological modeling in archaeology"
  },
  "_downloads": {
    "count": 21,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ArchaeoChron"
  },
  "_devurl": "https://github.com/archaeostat/archaeochron",
  "_pkgdown": "https://ArchaeoStat.github.io/ArchaeoChron/",
  "_searchresults": 17,
  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_cranurl": false,
  "_releases": [
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      "date": "2017-11-17"
    }
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  "_exports": [
    "chrono_Gauss",
    "chronoEvents_Gauss",
    "chronoOutliers_Gauss",
    "combination_Gauss",
    "combinationWithOutliers_Gauss",
    "combinationWithRandomEffect_Gauss",
    "eventModel_C14",
    "eventModel_Gauss"
  ],
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    {
      "name": "cuers",
      "title": "Cuers",
      "object": "cuers",
      "class": [
        "data.frame"
      ],
      "fields": [
        "SampleName",
        "Age",
        "Error"
      ],
      "rows": 2,
      "table": true,
      "tojson": true
    },
    {
      "name": "sunspot",
      "title": "Sunspot",
      "object": "sunspot",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Age",
        "Error"
      ],
      "rows": 171,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "chrono_Gauss",
      "title": "Bayesian Chronologies of Gaussian Dates",
      "topics": [
        "chrono_Gauss"
      ]
    },
    {
      "page": "chronoEvents_Gauss",
      "title": "Bayesian Chronologies of Gaussian Dates Using the Event Model",
      "topics": [
        "chronoEvents_Gauss"
      ]
    },
    {
      "page": "chronoOutliers_Gauss",
      "title": "Bayesian Chronologies of Gaussian Dates Using Oxcal Outlier Model",
      "topics": [
        "chronoOutliers_Gauss"
      ]
    },
    {
      "page": "combination_Gauss",
      "title": "Combine Gaussian Dates",
      "topics": [
        "combination_Gauss"
      ]
    },
    {
      "page": "combinationWithOutliers_Gauss",
      "title": "Combine Gaussian Dates with Outliers",
      "topics": [
        "combinationWithOutliers_Gauss"
      ]
    },
    {
      "page": "combinationWithRandomEffect_Gauss",
      "title": "Combine Gaussian Dates with a Random Effect",
      "topics": [
        "combinationWithRandomEffect_Gauss"
      ]
    },
    {
      "page": "cuers",
      "title": "Cuers",
      "concept": [
        "datasets"
      ],
      "topics": [
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      ]
    },
    {
      "page": "eventModel_C14",
      "title": "Event Model for Radiocarbon Dates",
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        "eventModel_C14"
      ]
    },
    {
      "page": "eventModel_Gauss",
      "title": "Event Model for Gaussian Dates",
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        "eventModel_Gauss"
      ]
    },
    {
      "page": "sunspot",
      "title": "Sunspot",
      "concept": [
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      ],
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      ]
    }
  ],
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      "title": "Introduction to ArchaeoChron",
      "author": "A. Philippe and M.-A. Vibet",
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        "Simple model for combining Gaussian dates",
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        "Statistics of the posterior distribution of the event.",
        "Bayesian model for combining Gaussian dates and handling potential outliers",
        "Bayesian model for combining Gaussian dates with a random effect",
        "Event Model : Bayesian model for combining Gaussian dates with individual random effects",
        "Generating the Markov chain of the posterior distribution"
      ],
      "created": "2023-06-01 15:12:24",
      "modified": "2025-05-14 14:40:08",
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