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RegSDC: Information Preserving Regression-Based Tools for Statistical Disclosure 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: 0.7.0
Depends: R (≥ 3.0.0), Matrix
Imports: SSBtools (≥ 1.3.4), MASS
Published: 2022-08-19
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 | file LICENSE
URL: https://github.com/olangsrud/RegSDC
NeedsCompilation: no
CRAN checks: RegSDC results

Documentation:

Reference manual: RegSDC.pdf

Downloads:

Package source: RegSDC_0.7.0.tar.gz
Windows binaries: r-devel: RegSDC_0.7.0.zip, r-release: RegSDC_0.7.0.zip, r-oldrel: RegSDC_0.7.0.zip
macOS binaries: r-release (arm64): RegSDC_0.7.0.tgz, r-oldrel (arm64): RegSDC_0.7.0.tgz, r-release (x86_64): RegSDC_0.7.0.tgz, r-oldrel (x86_64): RegSDC_0.7.0.tgz
Old sources: RegSDC archive

Reverse dependencies:

Reverse imports: GaussSuppression
Reverse suggests: easySdcTable, sdcTable

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.