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  "Title": "Continuous Epidemiological Week Indexing for Time-Series\nAnalysis",
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  "Description": "Provides a simple algorithm to generate a continuous\nepidemiological week index from date variables in a dataframe.\nWeeks are computed as sequential 7-day intervals starting from\nthe earliest observed date. They do not reset at calendar year\nboundaries and are not ISO 8601 nor MMWR calendar weeks. The\napproach is intended for epidemiological modeling and\ntime-series analysis where temporal continuity is required. The\ngenerated weeks are sequential and do not reset at calendar\nyear boundaries.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
  "Config/testthat/edition": "3",
  "Repository": "https://deginadaniel.r-universe.dev",
  "Date/Publication": "2026-02-18 15:07:50 UTC",
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  "RemoteRef": "HEAD",
  "RemoteSha": "407ab7197a54bf87de31e951098ffbed8fda7f98",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-19 09:09:12 UTC",
    "User": "root"
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  "Author": "Daniel Degina [aut, cre],\nJoel Mbuyi [ctb]",
  "Maintainer": "Daniel Degina <degina@example.com>",
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      "week": "2026-07",
      "n": 10
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    "epidemiology",
    "global-health",
    "isoweek",
    "mmwr",
    "modeling",
    "modelling",
    "nowcasting",
    "onehealth",
    "open-source",
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    "weeks"
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  "_contributors": [
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      "page": "cepiweek",
      "title": "Generate Continuous Epidemiological Week Index for a Date Column",
      "topics": [
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