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RegSDC: Information Preserving Regression-Based Tools for StatisticalDisclosure Control

Implementation of the methods described in the paper with the above title: Langsrud, Ø. (2019) <doi:10.1007/s11222-018-9848-9>. The package can be used to generate synthetic or hybrid continuous microdata, and the relationship to the original data can be controlled in several ways. A function for replacing suppressed tabular cell frequencies with decimal numbers is included.

Version:1.0.0
Depends:R (≥ 3.0.0)
Imports:SSBtools (≥ 1.3.4),MASS,Matrix
Published:2025-02-03
DOI:10.32614/CRAN.package.RegSDC
Author:Øyvind Langsrud [aut, cre]
Maintainer:Øyvind Langsrud <oyl at ssb.no>
BugReports:https://github.com/olangsrud/RegSDC/issues
License:Apache License 2.0 | fileLICENSE
URL:https://github.com/olangsrud/RegSDC,https://olangsrud.github.io/RegSDC/
NeedsCompilation:no
CRAN checks:RegSDC results

Documentation:

Reference manual:RegSDC.html ,RegSDC.pdf

Downloads:

Package source: RegSDC_1.0.0.tar.gz
Windows binaries: r-devel:RegSDC_1.0.0.zip, r-release:RegSDC_1.0.0.zip, r-oldrel:RegSDC_1.0.0.zip
macOS binaries: r-release (arm64):RegSDC_1.0.0.tgz, r-oldrel (arm64):RegSDC_1.0.0.tgz, r-release (x86_64):RegSDC_1.0.0.tgz, r-oldrel (x86_64):RegSDC_1.0.0.tgz
Old sources: RegSDC archive

Reverse dependencies:

Reverse imports:GaussSuppression
Reverse suggests:easySdcTable,sdcTable

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=RegSDCto link to this page.


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