Package: RegSDC 1.0.0

Øyvind Langsrud

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_1.0.0.tar.gz
RegSDC_1.0.0.tar.gz(r-4.5-noble)RegSDC_1.0.0.tar.gz(r-4.4-noble)
RegSDC_1.0.0.tgz(r-4.4-emscripten)RegSDC_1.0.0.tgz(r-4.3-emscripten)
RegSDC.pdf |RegSDC.html
RegSDC/json (API)

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

Peer review:

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

Pkgdown site:https://olangsrud.github.io

1.48 score 1 packages 410 downloads 21 exports 12 dependencies

Last updated 20 hours agofrom:d235b2332b. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 03 2025
R-4.5-linuxOKFeb 03 2025

Exports:CalculateCCalculateCdirectCdiffEnsureInterceptEnsureMatrixFindAlphaFindAlphaSimpleGenQRIpsoExtraReduceXRegSDCaddRegSDCaddGenRegSDCcompRegSDCdataRegSDCgenRegSDChybridRegSDCipsoRegSDCnewRegSDCrommSuppressDecZ2Yhat

Dependencies:cligluelatticelifecyclemagrittrMASSMatrixrlangSSBtoolsstringistringrvctrs