Tabular Data Suppression using Gaussian Elimination [R package GaussSuppression version 1.2.0]

GaussSuppression: Tabular Data Suppression using Gaussian Elimination

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年09月25日

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 Klungre ORCID iD [rev], Jonas Lindblad [ctb], Statistics Norway [cph]

Maintainer: Øyvind Langsrud <oyl at ssb.no>

BugReports: https://github.com/statisticsnorway/ssb-gausssuppression/issues

License: MIT + file LICENSE

URL: https://github.com/statisticsnorway/ssb-gausssuppression, https://statisticsnorway.github.io/ssb-gausssuppression/

NeedsCompilation: no

Materials: NEWS

In views: OfficialStatistics

CRAN checks: GaussSuppression results