{ "_id": "6ac10e10552a13804ac7ed9a", "Package": "mudnester", "Title": "Surveillance Data Cleaning and Preparation for Public Health", "Version": "0.7.2", "Description": "Clean, prepare, and aggregate surveillance data for public\nhealth analysis. Provides structural data cleaning and\nstandardisation ('clean_the_nest()'), age categorisation\nagainst ~50 published schemes with publication-ready labelling\n('preening()'), time-unit aggregation with zero-filling and\nseasonal awareness ('roost()'), joint aggregation of several\nlinked event dates (e.g. onset, admission, ICU, complication,\nfatality) into one table of comparable rate columns\n('flyway()'), under-ascertainment correction via a stratified,\ntime-varying multiplier factor supplied directly, derived by\nthe ratio (multiplier) method, or derived by inverting an\nexternally sourced severity rate (e.g. an\ninfection-fatality-rate anchor) against an observed severity\nratio ('corncrake()'), comorbidity detection from ICD-10-AM\nclinical coding ('plumage()'), vaccine coverage data\nconstruction ('brood()'), hash-based de-identification\n('molting()'), and relinking of de-identified data\n('homing()'). 'brood()' produces a 'brood_df' object supporting\ntwo population models: pre-aggregated denominators\n('population_model = \"pre_aggregated\"') and record-level cohort\ndesigns ('population_model = \"cohort\"'). The cohort model\nhandles single time-point coverage snapshots, interrupted time\nseries analysis via a built-in sweep returning monthly coverage\nrates ('time_series = TRUE'), and birth cohort designs with\nperson-time computation. Both wide format (one row per person\nwith dose columns, from 'starling::murmuration()') and long\nformat (one row per dose) are accepted. 'corncrake()' returns\nboth a point-corrected count and uncertainty bounds wherever\nthey can be derived, including the inverse relationship between\na severity-anchored factor and its reference rate's own bounds.\nBuilt for Australian public health surveillance practice but\nnot specific to it -- see individual function documentation for\nnotes on non-Australian use (e.g. Northern Hemisphere season\nboundaries).", "Authors@R": "c(\nperson(\"Nicolas\", \"Smoll\", email = \"nicolas.smoll@health.qld.gov.au\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-6923-9701\")),\nperson(\"Moderna\", role = \"fnd\",\ncomment = \"Support for this package's development was provided via the Moderna Global Research Fellowship\")\n)", "License": "MIT + file LICENSE", "Config/testthat/edition": "3", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "8.0.0", "VignetteBuilder": "knitr", "URL": "https://github.com/nrsmoll/mudnester", "BugReports": "https://github.com/nrsmoll/mudnester/issues", "NeedsCompilation": "no", "Author": "Nicolas Smoll [aut, cre] (ORCID:\n), Moderna [fnd]\n(Support for this package's development was provided via the\nModerna Global Research Fellowship)", "Maintainer": "Nicolas Smoll ", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://nrsmoll.r-universe.dev", "Date/Publication": "2026-07-14 05:43:38 UTC", "RemoteUrl": "https://github.com/nrsmoll/mudnester", "RemoteRef": "HEAD", "RemoteSha": "e12e64a456bf7cb071a947fa8e04878ccd249e07", "Packaged": { "Date": "2026-10-03 14:12:16 UTC", "User": "root" }, "_user": "nrsmoll", "_type": "src", "_file": "mudnester_0.7.2.tar.gz", "_fileid": "https://r2.ropensci.org/8bc458c690f405e0e1db3d369f1a1a478ee18ac0215ed49955bcd25e40b96ff4", "_filesize": 178344, "_sha256": "8bc458c690f405e0e1db3d369f1a1a478ee18ac0215ed49955bcd25e40b96ff4", "_expires": "2027-01-11T14:15:42.000Z", "_created": "2026-10-03T14:12:16.000Z", "_published": "2026-10-03T14:15:44.270Z", 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