{
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  "Title": "Clean, Parse, Harmonize, Match, and Geocode Messy Real-World US\nAddresses",
  "Version": "2.0.0",
  "Authors@R": "c(person(\"Cole\", \"Brokamp\", email = \"cole@colebrokamp.com\", role = c(\"aut\", \"cre\")),\nperson(\"Erika\", \"Manning\", role = c(\"aut\")))",
  "Description": "Cleans, parses, standardizes, matches, and geocodes messy,\nreal-world US addresses. Uses the included usaddress library to\ntag address components and build addr vector objects composed\nof addr_part vectors for number, street, and place. These\nvectors 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",
  "Copyright": "See file inst/COPYRIGHTS for vendored Rust crate copyright\ninformation.",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "Remotes": [
    "cole-brokamp/stow"
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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' 'place_zip.R' 'taf.R' 'tag_usaddress.R'\n'tiger.R' 'zzz.R'",
  "Config/roxygen2/version": "8.0.0",
  "Config/pak/sysreqs": "libabsl-dev cmake libssl-dev libclang-dev",
  "Repository": "https://geomarker-io.r-universe.dev",
  "Date/Publication": "2026-08-28 20:04:42 UTC",
  "RemoteUrl": "https://github.com/geomarker-io/addr",
  "RemoteRef": "v2.0.0",
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  "NeedsCompilation": "yes",
  "Packaged": {
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    "User": "root"
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  "Author": "Cole Brokamp [aut, cre],\nErika Manning [aut]",
  "Maintainer": "Cole Brokamp <cole@colebrokamp.com>",
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  "_created": "2026-10-08T12:17:13.000Z",
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  "_assets": [
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    "extra/citation.cff",
    "extra/citation.html",
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    "extra/readme.md",
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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",
    "addr_street",
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    "clean_address_text",
    "county_fips_lookup",
    "elh_data",
    "fuzzy_match",
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    "geocode",
    "geocode_stage",
    "geocode_table",
    "match_addr_number",
    "match_addr_street",
    "match_zipcodes",
    "nad",
    "nad_catalog",
    "nad_dataset",
    "nad_example_data",
    "nad_install",
    "nad_manifest",
    "phonetic_street_key",
    "taf",
    "taf_catalog",
    "taf_dataset",
    "taf_ensure",
    "taf_install",
    "taf_manifest",
    "taf_needed_counties",
    "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"
      ]
    },
    {
      "page": "addr_fuzzy_match",
      "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"
      ]
    },
    {
      "page": "geocode_table",
      "title": "Convert geocode objects to JSON-safe tables",
      "topics": [
        "geocode_table"
      ]
    },
    {
      "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": [
        "match_zipcodes"
      ]
    },
    {
      "page": "nad",
      "title": "Read National Address Database (NAD) tables into R",
      "topics": [
        "nad",
        "nad_download",
        "nad_install"
      ]
    },
    {
      "page": "nad_catalog",
      "title": "Read the National Address Database county catalog",
      "topics": [
        "nad_catalog"
      ]
    },
    {
      "page": "nad_dataset",
      "title": "Open installed National Address Database counties as an Arrow dataset",
      "topics": [
        "nad_dataset"
      ]
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    {
      "page": "nad_example_data",
      "title": "Example National Address Database addresses",
      "topics": [
        "nad_example_data"
      ]
    },
    {
      "page": "nad_manifest",
      "title": "Inventory installed National Address Database counties",
      "topics": [
        "nad_manifest"
      ]
    },
    {
      "page": "phonetic_street_key",
      "title": "Convert street names into phonetic matching keys",
      "topics": [
        "phonetic_street_key"
      ]
    },
    {
      "page": "taf",
      "title": "Read TIGER Address Features into R",
      "topics": [
        "taf",
        "taf_install"
      ]
    },
    {
      "page": "taf_catalog",
      "title": "Read TIGER address feature ZIP/county catalog",
      "topics": [
        "taf_catalog"
      ]
    },
    {
      "page": "taf_dataset",
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        "taf_needed_counties"
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      "page": "tag_usaddress",
      "title": "Tag US addresses",
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      "topics": [
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    },
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      "page": "voter_addresses",
      "title": "Example addresses",
      "topics": [
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      ]
    },
    {
      "page": "zipcode_variant",
      "title": "Create ZIP code variants",
      "topics": [
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      ]
    }
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