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
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:

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