cellKey: Consistent Perturbation of Statistical Frequency- And Magnitude
Tables
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:
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