ptable: Generation of Perturbation Tables for the Cell-Key Method
Tabular data from statistical institutes and agencies are mostly
confidential and must be protected prior to publications. The cell-key
method is a post-tabular Statistical Disclosure Control perturbation
technique that adds random noise to tabular data. The statistical
properties of the perturbations are defined by some noise probability
distributions - also referred to as perturbation tables.
This tool can be used to create the perturbation tables based on a maximum
entropy approach as described for example in Giessing (2016)
<doi:10.1007/978-3-319-45381-1_18>. The perturbation tables created can
finally be used to apply a cell-key method to frequency count or magnitude
tables.
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.6) |
| Imports: |
data.table, flexdashboard, ggplot2, methods, nloptr, RColorBrewer, rlang, rmarkdown |
| Suggests: |
knitr, testthat (≥ 3.0.0) |
| Published: |
2023-03-01 |
| DOI: |
10.32614/CRAN.package.ptable |
| Author: |
Tobias Enderle [aut, cre] |
| Maintainer: |
Tobias Enderle <tobias.enderle at destatis.de> |
| BugReports: |
https://github.com/sdcTools/ptable/issues |
| License: |
EUPL version 1.1 | EUPL version 1.2 [expanded from: EUPL] |
| URL: |
https://github.com/sdcTools/ptable |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
ptable results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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