{
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  "Title": "Miscellaneous Helper Tools for Epidemiologists",
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  "Description": "Contains tools for formatting inline code, renaming\nredundant columns, aggregating age categories, adding survey\nweights, finding the earliest date of an event, plotting\nz-curves, generating population counts and calculating\nproportions with confidence intervals. This is part of the\n'R4Epis' project <https://r4epis.netlify.app/>.",
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  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
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  "BugReports": "https://github.com/R4EPI/epikit/issues",
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  "Config/Needs/check": "R4EPI/epidict R4EPI/epitabulate",
  "Repository": "https://epiverse-connect.r-universe.dev",
  "Date/Publication": "2025-02-04 16:02:36 UTC",
  "RemoteUrl": "https://github.com/R4EPI/epikit",
  "RemoteRef": "HEAD",
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    "User": "root"
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  "Author": "Alexander Spina [aut] (ORCID: <https://orcid.org/0000-0001-8425-1867>),\nZhian N. Kamvar [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-1458-7108>),\nDirk Schumacher [aut],\nKate Doyle [ctb]",
  "Maintainer": "Zhian N. Kamvar <zkamvar@gmail.com>",
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    "message": "Merge pull request #36 from R4EPI/cran-release-02-2023\n\ncran release 02 2023",
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    "login": "zkamvar",
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    "orcid": "0000-0003-1458-7108",
    "description": "Research Software Engineer | Interested in education, pop genetics, evolution, bioinformatics, and R programming",
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    },
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    },
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      "package": "rlang",
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      "package": "tidyselect",
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  "_owner": "r4epi",
  "_selfowned": false,
  "_usedby": 2,
  "_updates": [],
  "_tags": [
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      "name": "v0.2.0",
      "date": "2025-11-05"
    }
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  "_stars": 10,
  "_contributors": [
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      "uuid": 3639446
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    "type": "organization",
    "name": "Epiverse-CONNECT",
    "followers": 6
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/epikit"
  },
  "_devurl": "https://github.com/r4epi/epikit",
  "_pkgdown": "https://r4epi.github.io/epikit/",
  "_searchresults": 23,
  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/epikit.html",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md"
  ],
  "_homeurl": "https://github.com/r4epi/epikit",
  "_realowner": "r4epi",
  "_cranurl": true,
  "_releases": [
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      "version": "0.1.0",
      "date": "2020-03-05"
    },
    {
      "version": "0.1.1",
      "date": "2020-04-13"
    },
    {
      "version": "0.1.2",
      "date": "2020-09-07"
    },
    {
      "version": "0.1.5",
      "date": "2023-02-15"
    },
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      "date": "2024-01-23"
    },
    {
      "version": "0.2.0",
      "date": "2025-11-05"
    }
  ],
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    "add_weights_cluster",
    "add_weights_strata",
    "age_categories",
    "assert_positive_timespan",
    "augment_redundant",
    "constrain_dates",
    "dots_to_charlist",
    "fac_from_num",
    "find_breaks",
    "find_date_cause",
    "find_end_date",
    "find_start_date",
    "fmt_ci",
    "fmt_ci_df",
    "fmt_count",
    "fmt_pci",
    "fmt_pci_df",
    "gen_polygon",
    "gen_population",
    "group_age_categories",
    "merge_ci_df",
    "merge_pci_df",
    "rename_redundant",
    "unite_ci",
    "zcurve"
  ],
  "_help": [
    {
      "page": "add_weights_cluster",
      "title": "Add a column of cluster survey weights to a data frame.",
      "topics": [
        "add_weights_cluster"
      ]
    },
    {
      "page": "add_weights_strata",
      "title": "Add a column of stratified survey weights to a data frame. For use in surveys where you took a sample population out of a larger source population, with a simple-random or stratified survey design.",
      "topics": [
        "add_weights_strata"
      ]
    },
    {
      "page": "age_categories",
      "title": "Create an age group variable",
      "topics": [
        "age_categories",
        "group_age_categories"
      ]
    },
    {
      "page": "fac_from_num",
      "title": "create factors from numbers",
      "topics": [
        "fac_from_num"
      ]
    },
    {
      "page": "find_breaks",
      "title": "Automatically calculate breaks for a number",
      "topics": [
        "find_breaks"
      ]
    },
    {
      "page": "find_date_cause",
      "title": "Find the first date beyond a cutoff in several columns",
      "topics": [
        "assert_positive_timespan",
        "constrain_dates",
        "find_date_cause",
        "find_end_date",
        "find_start_date"
      ]
    },
    {
      "page": "fmt_ci",
      "title": "Helper to format confidence interval for text",
      "topics": [
        "fmt_ci",
        "fmt_ci_df",
        "fmt_pci",
        "fmt_pci_df"
      ]
    },
    {
      "page": "fmt_count",
      "title": "Counts and proportions inline",
      "topics": [
        "fmt_count"
      ]
    },
    {
      "page": "gen_polygon",
      "title": "Fake spatial data as polygons This function returns a polygon which is split in to regions based on a supplied vector of names",
      "topics": [
        "gen_polygon"
      ]
    },
    {
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      "title": "Generate population counts from estimated population age breakdowns.",
      "topics": [
        "gen_population"
      ]
    },
    {
      "page": "rename_redundant",
      "title": "Cosmetically relabel all columns that contains a certain pattern",
      "topics": [
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        "rename_redundant"
      ]
    },
    {
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      "title": "Unite estimates and confidence intervals",
      "topics": [
        "merge_ci_df",
        "merge_pci_df",
        "unite_ci"
      ]
    },
    {
      "page": "zcurve",
      "title": "Create a curve comparing observed Z-scores to the WHO standard.",
      "topics": [
        "zcurve"
      ]
    }
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    "classInt",
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      "title": "Introduction to epikit",
      "engine": "knitr::rmarkdown",
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