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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
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:

Reference manual:ptable.html ,ptable.pdf
Vignettes:Introduction to the ptable-Package (source,R code)

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 formhttps://CRAN.R-project.org/package=ptableto link to this page.


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