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