GaussSuppression: Tabular Data Suppression using Gaussian Elimination

A statistical disclosure control tool to protect tables by suppression using the Gaussian elimination secondary suppression algorithm. A suggestion is to start by working with functions SuppressSmallCounts() and SuppressDominantCells(). These functions use primary suppression functions for the minimum frequency rule and the dominance rule, respectively. Novel functionality for suppression of disclosive cells is also included. General primary suppression functions can be supplied as input to the general working horse function, GaussSuppressionFromData(). Suppressed frequencies can be replaced by synthetic decimal numbers as described in Langsrud (2019) <doi:10.1007/s11222-018-9848-9>.

Version: 0.7.0
Depends: Matrix
Imports: SSBtools (≥ 1.4.5), RegSDC (≥ 0.7.0), stats, methods
Suggests: formattable, kableExtra, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-06-07
Author: Øyvind Langsrud [aut, cre], Daniel Lupp [aut], Hege Bøvelstad [ctb], Statistics Norway [cph]
Maintainer: Øyvind Langsrud <oyl at ssb.no>
BugReports: https://github.com/statisticsnorway/GaussSuppression/issues
License: MIT + file LICENSE
URL: https://github.com/statisticsnorway/GaussSuppression
NeedsCompilation: no
Materials: NEWS
In views: OfficialStatistics
CRAN checks: GaussSuppression results

Documentation:

Reference manual: GaussSuppression.pdf
Vignettes: table suppression
Small count frequency table suppression
Defining Tables for GaussSuppression

Downloads:

Package source: GaussSuppression_0.7.0.tar.gz
Windows binaries: r-devel: GaussSuppression_0.6.0.zip, r-release: GaussSuppression_0.7.0.zip, r-oldrel: GaussSuppression_0.7.0.zip
macOS binaries: r-release (arm64): GaussSuppression_0.7.0.tgz, r-oldrel (arm64): GaussSuppression_0.7.0.tgz, r-release (x86_64): GaussSuppression_0.7.0.tgz, r-oldrel (x86_64): GaussSuppression_0.7.0.tgz
Old sources: GaussSuppression archive

Linking:

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