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  "Package": "addr",
  "Title": "Clean, Parse, Harmonize, Match, and Geocode Messy Real-World US\nAddresses",
  "Version": "1.1.0",
  "Authors@R": "c(person(\"Cole\", \"Brokamp\", email = \"cole@colebrokamp.com\", role = c(\"aut\", \"cre\")),\nperson(\"Erika\", \"Manning\", role = c(\"aut\")))",
  "Description": "Clean, parses, standardize, match, and geocodes messy,\nreal-world US addresses. Use the included `usaddress` library\nto tag address components and build addr vector objects\ncomposed of addr_part vectors for number, street, and place.\nThese vectors can be standardized, matched, joined, and used as\ndata-frame columns, allowing standard R tools to work with\nnested address structures.",
  "URL": "https://github.com/geomarker-io/addr/, https://geomarker.io/addr/",
  "BugReports": "https://github.com/geomarker-io/addr/issues/",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
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  "Collate": "'addr_helpers.R' 'addr_part.R' 'addr.R'\n'addr_fuzzy_left_join.R' 'addr_left_join.R' 'addr_match.R'\n'addr_part_match.R' 'addr_tag_maps.R' 'addr_vectors.R'\n'as_addr.R' 'clean.R' 'county_fips.R' 'data.R'\n'extendr-wrappers.R' 'fuzzy_match.R' 'geocode.R' 'nad.R'\n'phonetic_street_key.R' 'shiny_addr_explorer.R'\n'shiny_geocode_explorer.R' 'taf.R' 'tag_usaddress.R' 'tiger.R'\n'zzz.R'",
  "Config/pak/sysreqs": "libabsl-dev cmake libssl-dev libclang-dev",
  "Repository": "https://geomarker-io.r-universe.dev",
  "Date/Publication": "2026-05-19 02:36:41 UTC",
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    "User": "root"
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  "Author": "Cole Brokamp [aut, cre],\nErika Manning [aut]",
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    "extra/citation.html",
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    "addr_fuzzy_left_join",
    "addr_fuzzy_match",
    "addr_left_join",
    "addr_match",
    "addr_match_prepare",
    "addr_match_stage",
    "addr_number",
    "addr_place",
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    "match_zipcodes",
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    "taf_ensure",
    "taf_install",
    "taf_needed_counties",
    "taf_zip",
    "tag_usaddress",
    "tiger_addr_feat",
    "tiger_feat_names",
    "voter_addresses",
    "zipcode_variant"
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      "page": "addr_fuzzy_left_join",
      "title": "Left join two data frames using fuzzy addr matching",
      "topics": [
        "addr_fuzzy_left_join"
      ]
    },
    {
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      "title": "Fuzzy match addr vectors using field-specific string distances",
      "topics": [
        "addr_fuzzy_match",
        "fuzzy_match_addr_field"
      ]
    },
    {
      "page": "addr_left_join",
      "title": "Left join two data frames using addr matching",
      "topics": [
        "addr_left_join"
      ]
    },
    {
      "page": "addr_match",
      "title": "Match addr vectors",
      "topics": [
        "addr_match",
        "addr_match_prepare"
      ]
    },
    {
      "page": "addr_match_stage",
      "title": "Classify addr match stage",
      "topics": [
        "addr_match_stage"
      ]
    },
    {
      "page": "addr",
      "title": "addr classes",
      "topics": [
        "addr",
        "addr_number",
        "addr_place",
        "addr_street"
      ]
    },
    {
      "page": "as_addr",
      "title": "Coerce to addr",
      "topics": [
        "as_addr"
      ]
    },
    {
      "page": "clean_address_text",
      "title": "Clean address text",
      "topics": [
        "clean_address_text"
      ]
    },
    {
      "page": "county_fips_lookup",
      "title": "Translate county names and county FIPS identifiers",
      "topics": [
        "county_fips_lookup"
      ]
    },
    {
      "page": "elh_data",
      "title": "Example line-one addresses",
      "topics": [
        "elh_data"
      ]
    },
    {
      "page": "fuzzy_match",
      "title": "Fuzzy match",
      "topics": [
        "fuzzy_match"
      ]
    },
    {
      "page": "geocode",
      "title": "Geocode addr vectors with Census TIGER address features",
      "topics": [
        "geocode",
        "geocode_zip"
      ]
    },
    {
      "page": "geocode_stage",
      "title": "Classify geocode stage",
      "topics": [
        "geocode_stage"
      ]
    },
    {
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      "title": "Convert geocode objects to JSON-safe tables",
      "topics": [
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    {
      "page": "match_addr_number",
      "title": "Match addr_number vectors",
      "topics": [
        "match_addr_number"
      ]
    },
    {
      "page": "match_addr_street",
      "title": "Match addr_street vectors",
      "topics": [
        "match_addr_street"
      ]
    },
    {
      "page": "match_zipcodes",
      "title": "Match ZIP codes",
      "topics": [
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      ]
    },
    {
      "page": "nad",
      "title": "Read National Address Database (NAD) tables into R",
      "topics": [
        "nad",
        "nad_download",
        "nad_read"
      ]
    },
    {
      "page": "nad_example_data",
      "title": "Example National Address Database addresses",
      "topics": [
        "nad_example_data"
      ]
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    {
      "page": "phonetic_street_key",
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      "topics": [
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      "topics": [
        "run_addr_explorer"
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      "topics": [
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      "topics": [
        "taf",
        "taf_install"
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    {
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      "topics": [
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