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 lookuptable 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>.
Package details 


Author  Bernhard Meindl [aut, cre] 
Maintainer  Bernhard Meindl <bernhard.meindl@statistik.gv.at> 
License  GPL2 
Version  1.0.2 
URL  https://github.com/sdcTools/cellKey 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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