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GaussSuppression
View on CRAN: Click
here
Download and install GaussSuppression package within the R console
Install from CRAN:
install.packages("GaussSuppression")
Install from Github:
library("remotes")
install_github("cran/GaussSuppression")
Install by package version:
library("remotes")
install_version("GaussSuppression", "0.9.5")
Attach the package and use:
library("GaussSuppression")
Maintained by
Øyvind Langsrud
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.GaussSuppression . GaussSuppression results . GaussSuppression.pdf . Defining tables for GaussSuppression . GaussSuppression_0.9.6.tar.gz . GaussSuppression_0.9.6.zip . GaussSuppression_0.9.6.zip . GaussSuppression_0.9.6.zip . GaussSuppression_0.9.6.tgz . GaussSuppression_0.9.6.tgz . GaussSuppression_0.9.2.tgz . GaussSuppression_0.9.6.tgz . GaussSuppression_0.9.6.tgz . GaussSuppression_0.9.6.tgz . GaussSuppression archive . https://CRAN.R-project.org/package=GaussSuppression .
First Published: 2021-09-24
Latest Update: 2024-02-02
Description:
A statistical disclosure control tool to protect tables by suppression
using the Gaussian elimination secondary suppression algorithm. 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) .
How to cite:
Øyvind Langsrud (2021). GaussSuppression: Tabular Data Suppression using Gaussian Elimination. R package version 0.9.5, https://cran.r-project.org/web/packages/GaussSuppression. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2021-09-24 09:50), 0.2.0 (2022-04-05 15:12), 0.3.0 (2022-05-24 20:40), 0.4.0 (2022-06-28 16:30), 0.5.0 (2022-08-30 11:50), 0.6.0 (2023-03-31 14:30), 0.7.0 (2023-06-07 18:40), 0.8.0 (2024-02-02 16:20), 0.8.3 (2024-03-22 14:50), 0.8.5 (2024-05-22 11:00), 0.8.8 (2024-06-28 11:20), 0.9.0 (2024-09-24 13:00), 0.9.2 (2024-12-09 10:50), 0.9.5 (2025-02-07 13:50)
Other packages that cited GaussSuppression R package
View GaussSuppression citation profile
Other R packages that GaussSuppression depends,
imports, suggests or enhances
Complete documentation for GaussSuppression
Functions, R codes and Examples using
the GaussSuppression R package
Some associated functions: AdditionalSuppression . CandidatesDefault . ChainedSuppression . DominanceRule . GaussSuppressDec . GaussSuppressionFromData . GaussSuppressionTwoWay . HierarchyContributors . KDisclosurePrimary . LazyLinkedTables . MaxContribution . Ncontributors . NcontributorsHolding . NcontributorsRule . PrimaryDefault . PrimaryFromSuppressedData . SingletonDefault . SuppressDirectDisclosure . SuppressKDisclosure . SuppressionFromDecimals . X_from_mc . reexports .
Some associated R codes: AdditionalSuppression.R . Candidates.R . ChainedSuppression.R . DominanceRule.R . Extend0fromHierarchies.R . GaussSuppressDec.R . GaussSuppressionFromData.R . GaussSuppressionTwoWay.R . HierarchyContributors.R . LazyLinkedTables.R . MaxContribution.R . Ncontributors.R . NcontributorsRule.R . Primary.R . PrimaryFromSuppressedData.R . Singleton.R . SuppressDirectDisclosure.R . SuppressKDisclosure.R . SuppressionFromDecimals.R . X_from_mc.R . reexport.R . Full GaussSuppression package functions and examples
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