rmoriedata: Disclosure control for aggregate releases, with open datasets

Tools for releasing aggregate statistics safely: differential privacy (dplapcnt() and dplaphist() for counts, dpgmean() for means, with the budget kept by dpbudget() and dpspent()), checks of k-anonymity and l-diversity (kanonvrf(), ldivvrf()), and cell suppression audited for exact recovery from the margins (cellsupp()).

Details

Open datasets to use them on come with the package: mdcat() lists the bundled tables and mdload() loads one; siuload(), chiload(), cihitbls() and cihiget() read their datasets; mdverify() checks the bundle's checksums; hostcat() and hostload() reach the tables served at data.rmorie.com; and mdask() asks a language model about the catalogue. The raw files are also at system.file("extdata", package = "rmoriedata").

See also

Useful links:

• https://rootcoder007.github.io/rmoriedata/

• https://github.com/rootcoder007/rmoriedata

• Report bugs at https://github.com/rootcoder007/rmoriedata/issues

Author

Maintainer: Vansh Singh Ruhela vsruhela@proton.me (ORCID)

Authors:

• Vansh Singh Ruhela vsruhela@proton.me (ORCID)