Package: RegSDC 0.7.0

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.

Authors:Øyvind Langsrud [aut, cre]

RegSDC_0.7.0.tar.gz
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RegSDC_0.7.0.tgz(r-4.4-any)RegSDC_0.7.0.tgz(r-4.3-any)
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RegSDC.pdf |RegSDC.html
RegSDC/json (API)

# Install 'RegSDC' in R:
install.packages('RegSDC', repos = c('https://olangsrud.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/olangsrud/regsdc/issues

On CRAN:

21 exports 0.95 score 12 dependencies 1 dependents 20 scripts 400 downloads

Last updated 2 years agofrom:c7d3cf5943. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-winNOTESep 17 2024
R-4.5-linuxNOTESep 17 2024
R-4.4-winOKSep 17 2024
R-4.4-macOKSep 17 2024
R-4.3-winOKSep 17 2024
R-4.3-macOKSep 17 2024

Exports:CalculateCCalculateCdirectCdiffEnsureInterceptEnsureMatrixFindAlphaFindAlphaSimpleGenQRIpsoExtraReduceXRegSDCaddRegSDCaddGenRegSDCcompRegSDCdataRegSDCgenRegSDChybridRegSDCipsoRegSDCnewRegSDCrommSuppressDecZ2Yhat

Dependencies:cligluelatticelifecyclemagrittrMASSMatrixrlangSSBtoolsstringistringrvctrs