doi:10.1007/978-3-031-69651-0_6>. 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>.">

GaussSuppression: Tabular Data Suppression using Gaussian Elimination (original) (raw)

A statistical disclosure control tool to protect tables by suppression using the Gaussian elimination secondary suppression algorithm (Langsrud, 2024) <doi:10.1007/978-3-031-69651-0_6>. 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: 1.2.0
Depends: R (≥ 3.5.0)
Imports: SSBtools (≥ 1.8.2), RegSDC (≥ 0.7.0), stats, methods, utils, Matrix, ellipsis, rlang
Suggests: formattable, kableExtra, knitr, rmarkdown, testthat (≥ 3.0.0), lpSolve, Rsymphony, Rglpk, slam, highs, data.table
Published: 2025-09-25
DOI: 10.32614/CRAN.package.GaussSuppression
Author: Øyvind Langsrud ORCID iD [aut, cre], Daniel Lupp ORCID iD [aut], Hege Bøvelstad ORCID iD [ctb], Vidar Norstein KlungreORCID iD [rev], Jonas Lindblad [ctb], Statistics Norway [cph]
Maintainer: Øyvind Langsrud
BugReports: https://github.com/statisticsnorway/ssb-gausssuppression/issues
License: MIT + file
URL: https://github.com/statisticsnorway/ssb-gausssuppression,https://statisticsnorway.github.io/ssb-gausssuppression/
NeedsCompilation: no
Materials: NEWS
In views: OfficialStatistics
CRAN checks: GaussSuppression results

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