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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "GaussSuppression" in publications use:'
type: software
license: MIT
title: 'GaussSuppression: Tabular Data Suppression using Gaussian Elimination'
version: 0.9.0
doi: 10.32614/CRAN.package.GaussSuppression
abstract: A statistical disclosure control tool to protect tables by suppression using
  the Gaussian elimination secondary suppression algorithm (Langsrud, 2024) <https://doi.org/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) <https://doi.org/10.1007/s11222-018-9848-9>.
authors:
- family-names: Langsrud
  given-names: Øyvind
  email: oyl@ssb.no
  orcid: https://orcid.org/0000-0002-1380-4396
- family-names: Lupp
  given-names: Daniel
  orcid: https://orcid.org/0000-0003-3575-1691
repository: https://CRAN.R-project.org/package=GaussSuppression
repository-code: https://github.com/statisticsnorway/ssb-gausssuppression
url: https://github.com/statisticsnorway/ssb-gausssuppression
date-released: '2024-09-24'
contact:
- family-names: Langsrud
  given-names: Øyvind
  email: oyl@ssb.no
  orcid: https://orcid.org/0000-0002-1380-4396