Consistent Perturbation of Statistical Frequency- And Magnitude Tables R package cellKey version 1.0.3 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>. Software Depends: R(>= 4.1), sdcHierarchies (>= 0.19.3) Imports: rlang, methods, digest (>= 0.6.23), sdcTable (>= 0.32.2), ptable (>= 1.0.0), cli, utils, yaml, parallel, data.table Suggests: testthat, knitr, rmarkdown Bernhard Meindl <bernhard.meindl@statistik.gv.at> Comprehensive R Archive Network (CRAN) Bernhard Meindl [aut, cre] GPL-2 2025-09-03 application/tgz https://CRAN.R-project.org/package=cellKey doi:10.32614/CRAN.package.cellKey