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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
Author: Tobias Enderle [aut, cre]
Maintainer: Tobias Enderle <tobias.enderle at destatis.de>
BugReports: https://github.com/sdcTools/ptable/issues
License: EUPL
URL: https://github.com/sdcTools/ptable
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: ptable results

Documentation:

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

Downloads:

Package source: ptable_1.0.0.tar.gz
Windows binaries: r-devel: ptable_1.0.0.zip, r-release: ptable_1.0.0.zip, r-oldrel: ptable_1.0.0.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ptable to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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