{ "_id": "6a4983056d67900babdf7c8a", "Package": "cepiweek", "Title": "Continuous Epidemiological Week Indexing for Time-Series\nAnalysis", "Version": "0.1.2", "Authors@R": "c(person(given = \"Daniel\", family = \"Degina\", role = c(\"aut\", \"cre\"),\nemail = \"degina@example.com\"),\nperson(given = \"Joel\", family = \"Mbuyi\", role = \"ctb\"))", "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://danieldegina.r-universe.dev", "Date/Publication": "2026-07-04 21:31:08 UTC", "RemoteUrl": "https://github.com/danieldegina/cepiweek", "RemoteRef": "HEAD", "RemoteSha": "32f4c9989ab2de0b6f40180c587c09776c53f19e", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-04 21:59:38 UTC", "User": "root" }, "Author": "Daniel Degina [aut, cre],\nJoel Mbuyi [ctb]", "Maintainer": "Daniel Degina ", "_user": "danieldegina", "_type": "src", "_file": "cepiweek_0.1.2.tar.gz", "_fileid": "https://r2.ropensci.org/db09d20198d2e7a3cf806926470417e14ed96144b7a1df2d67e8d42c4ae0b780", "_filesize": 80999, "_sha256": "db09d20198d2e7a3cf806926470417e14ed96144b7a1df2d67e8d42c4ae0b780", "_expires": "2026-10-12T22:02:44.000Z", "_created": 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