Data from statistical agencies and other institutions often need to be protected before they can be published. This package can be used to perturb statistical tables in a consistent way. The main idea is to add - at the micro data level - a record key for each unit. Based on these keys, for any cell in a statistical table a cell key is computed as a function on the record keys contributing to a specific cell. Values that are added to the cell in order to perturb it are derived from a lookup-table that maps values of cell keys to specific perturbation values. The theoretical basis for the methods implemented can be found in Thompson, Broadfoot and Elazar (2013) <https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2013/Topic_1_ABS.pdf> which was extended and enhanced by Giessing and Tent (2019) <https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2019/mtg1/SDC2019_S2_Germany_Giessing_Tent_AD.pdf>.
Version: 1.0.2 Depends: R (≥ 4.1), sdcHierarchies (≥ 0.19.3), data.table Imports: rlang, methods, digest (≥ 0.6.23), sdcTable (≥ 0.32.2), ptable (≥ 1.0.0), cli, utils, yaml, parallel Suggests: testthat, knitr, rmarkdown Published: 2023-11-24 DOI: 10.32614/CRAN.package.cellKey Author: Bernhard Meindl [aut, cre] Maintainer: Bernhard Meindl <bernhard.meindl at statistik.gv.at> BugReports: https://github.com/sdcTools/userSupport/issues License: GPL-2 URL: https://github.com/sdcTools/cellKey NeedsCompilation: no Materials: README NEWS CRAN checks: cellKey results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=cellKey to link to this page.
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