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: 1.1.0 Depends: R (≥ 3.5.0) Imports: SSBtools (≥ 1.8.0), RegSDC (≥ 0.7.0), stats, methods, utils, Matrix Suggests: formattable, kableExtra, knitr, rmarkdown, testthat (≥ 3.0.0), lpSolve, Rsymphony, Rglpk, slam, highs, data.table Published: 2025-06-26 DOI: 10.32614/CRAN.package.GaussSuppression Author: Ãyvind Langsrud [aut, cre], Daniel Lupp [aut], Hege Bøvelstad [ctb], Vidar Norstein Klungre [rev], Statistics Norway [cph] Maintainer: Ãyvind 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=GaussSuppression to link to this page.
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