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  "Title": "Bundled Datasets for the rmorie Package",
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  "Description": "Bundled open data fixtures used by the 'rmorie' package\nfor examples, vignettes, and tests. Split out so 'rmorie'\nitself stays within CRAN's package-size soft cap. Contains\nsnapshots of publicly-available datasets from\nCKAN/Socrata/Opendatasoft portals (Chicago, NYC, Toronto,\nVancouver, etc.), Statistics Canada CCJS tables, and synthetic\nfixtures for unit tests. Also ships a small set of\nanalyst-facing helpers for releasing aggregate statistics\nwithout re-identification risk: Laplace and Gaussian\ndifferential privacy mechanisms and k-anonymity, l-diversity,\nand cell suppression verifiers.",
  "License": "AGPL (>= 3)",
  "Encoding": "UTF-8",
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  "URL": "https://github.com/rootcoder007/rmoriedata",
  "BugReports": "https://github.com/rootcoder007/rmoriedata/issues",
  "biocViews": "Software, ExperimentData",
  "Repository": "https://rootcoder007.r-universe.dev",
  "Date/Publication": "2026-05-27 09:51:18 UTC",
  "RemoteUrl": "https://github.com/rootcoder007/rmoriedata",
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  "Author": "Vansh Singh Ruhela [aut, cre] (ORCID:\n<https://orcid.org/0009-0004-1750-3592>)",
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    "message": "feat(privacy): differential-privacy + k-anonymity helpers (v0.1.1)\n\nAdds two privacy primitives useful for any analyst releasing\naggregate stats from carceral / police data without re-\nidentification risk:\n\nDP (R/dp.R):\n* morie_dp_laplace_count(true_count, epsilon) — Laplace mechanism\n  over a count predicate. Sensitivity hardcoded to 1.\n* morie_dp_gaussian_mean(x, lower, upper, epsilon, delta) —\n  Gaussian mechanism over a bounded numeric. Standard\n  delta < 1/n recommendation in docs.\n* morie_dp_laplace_histogram(counts, epsilon) — per-bin Laplace.\n\nk-anonymity (R/k_anonymity.R):\n* morie_k_anonymity_verify(data, quasi_identifiers, k = 5) —\n  equivalence-class size check; returns structured result with\n  the violating classes for actionable suppression.\n* morie_l_diversity_verify(data, quasi_identifiers, sensitive,\n  l = 3) — per-class distinct sensitive count.\n* morie_cell_suppress(tbl, threshold, return_complementary) —\n  StatCan / open-data complementary suppression so the\n  suppressed value can't be reconstructed from marginals.\n\nNo new Imports beyond stats (already in base R). Pure-R; no\nC++ touched. Hand-written Rd for the 6 exports (roxygen sweep\ndeferred). NEWS.md created (v0.1.1 entry).\n\nTests: 72 / 72 passing; Monte-Carlo sanity checks confirm\nvariance scales as 2/epsilon^2 for Laplace count, matches\nanalytic-Gaussian sigma for Gaussian mean.\n\nR CMD check status: 1 NOTE (pre-existing LICENSE-mention),\n0 WARNINGs, 0 ERRORs.\n\nCo-Authored-By: Claude <noreply@anthropic.com>\nCo-Authored-By: Vansh Singh Ruhela (rootcoder007) <hadesllm@proton.me>\n",
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