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>
License: EUPL
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: ptable results


Reference manual: ptable.pdf
Vignettes: Introduction to the ptable-Package


Package source: ptable_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ptable_1.0.0.tgz, r-oldrel (arm64): ptable_1.0.0.tgz, r-release (x86_64): ptable_1.0.0.tgz, r-oldrel (x86_64): ptable_1.0.0.tgz

Reverse dependencies:

Reverse imports: cellKey


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