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