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) . 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) .


Reference manual

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install.packages("GaussSuppression")

1.3.0 by Øyvind Langsrud, 8 months ago


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


Report a bug at https://github.com/statisticsnorway/ssb-gausssuppression/issues


Browse source code at https://github.com/cran/GaussSuppression


Authors: Øyvind Langsrud [aut, cre] (ORCID: , Daniel Lupp [aut] , Hege Bøvelstad [ctb] , Vidar Norstein Klungre [rev] (ORCID: , Jonas Lindblad [ctb] , Statistics Norway [cph]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports SSBtools, RegSDC, stats, methods, utils, Matrix, ellipsis, rlang

Suggests formattable, kableExtra, knitr, rmarkdown, testthat, lpSolve, Rsymphony, Rglpk, slam, highs, data.table


See at CRAN