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  "Title": "Record Linkage for Empirically Motivated Priors",
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  "Description": "An implementation of the model in Steorts (2015)\n<DOI:10.1214/15-BA965SI>, which performs Bayesian entity\nresolution for categorical and text data, for any distance\nfunction defined by the user. In addition, the precision and\nrecall are in the package to allow one to compare to any other\ncomparable method such as logistic regression, Bayesian\nadditive regression trees (BART), or random forests. The\nexperiments are reproducible and illustrated using a simple\nvignette. LICENSE: GPL-3 + file license.",
  "License": "GPL-3",
  "LazyData": "TRUE",
  "URL": "https://github.com/cleanzr/blink",
  "BugReports": "https://github.com/cleanzr/blink/issues",
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    "User": "root"
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  "Maintainer": "Rebecca Steorts <beka@stat.duke.edu>",
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      "title": "identity.RLdata500",
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    {
      "page": "check_IDs",
      "title": "Check whether 2 records which are estimated to be linked have the same IDs",
      "topics": [
        "check_IDs"
      ]
    },
    {
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      "title": "identity.RLdata500",
      "topics": [
        "identity.RLdata500"
      ]
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      "page": "links",
      "title": "Function that returns the shared MPMMS (except with an easier condition to code than JASA paper).  Function to make a list of vectors of estimated links by \"P(MPMMS)>0.5\" method Note: The default settings return only MPMMSs with multiple members.",
      "topics": [
        "links"
      ]
    },
    {
      "page": "links.compare",
      "title": "This function takes a set of pairwise links and identifies correct, incorrect, and missing links (correct = estimated and true, incorrect = estimated but not true, missing = true but not estimated)",
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        "links.compare"
      ]
    },
    {
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      "title": "Function to compute a record's Maximal Matching Set (MMS) based on a single linkage structure",
      "topics": [
        "mms"
      ]
    },
    {
      "page": "mpmms",
      "title": "Function to compute a record's MPMMS based on a Gibbs sampler. Note: It returns a list of the MPMMS ($mpmms) and its probability ($prob)",
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        "mpmms"
      ]
    },
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      "title": "Function to take links list that may contain 3-way, 4-way, etc. and reduce it to pairwise only (e.g., a 3-way link 12-45-78 is changed to 2-way links: 12-45, 12-78, 45-78",
      "topics": [
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      ]
    },
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      "page": "rl.gibbs",
      "title": "Gibbs sampler for empirically motivated Bayesian record linkage",
      "topics": [
        "rl.gibbs"
      ]
    },
    {
      "page": "RLdata500",
      "title": "RLdata500",
      "topics": [
        "RLdata500"
      ]
    }
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      "headings": [
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        "Preparing the data",
        "Setting the Tuning Parameters",
        "The Gibbs Sampler for bLink",
        "Summary information of blink"
      ],
      "created": "2017-06-20 13:05:56",
      "modified": "2020-09-30 02:28:41",
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