Package: rmoriedata 0.4.3

rmoriedata: Disclosure Control for Aggregate Releases, with Open Datasets

Disclosure-control tools for releasing aggregate statistics, with open datasets to use them on. Differential privacy: an exact discrete Laplace sampler for counts and the analytic Gaussian mechanism for means, drawing on the operating system's random source, with privacy-budget accounting. Checks of k-anonymity and l-diversity, and cell suppression audited for exact recovery from the margins. The datasets are snapshots of publicly available tables from open-data portals built on the Comprehensive Knowledge Archive Network ('CKAN', <https://ckan.org/>), 'Socrata' (<https://dev.socrata.com/>), and 'Opendatasoft' (<https://www.huwise.com/>) (Chicago, New York City, Toronto, Vancouver, and others), Statistics Canada Canadian Centre for Justice and Community Safety Statistics ('CCJS') tables, a multi-agent-reviewed corpus of Ontario Special Investigations Unit ('SIU', <https://www.siu.on.ca/>) director's reports, and synthetic fixtures, with functions that read and verify them.

Authors:Vansh Singh Ruhela [aut, cre]