sdcMicro: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation

Data from statistical agencies and other institutions are mostly confidential. This package (see also Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>) can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>. Various risk estimation and anonymisation methods are included. Note that the package includes a graphical user interface (Meindl and Templ, 2019 <doi:10.3390/a12090191>) that allows to use various methods of this package.

Version: 5.5.1
Depends: R (≥ 2.10)
Imports: utils, stats, graphics, car, carData, rmarkdown, knitr, data.table, xtable, robustbase, cluster, MASS, e1071, tools, Rcpp, methods, ggplot2, shiny (≥ 1.4.0), haven, rhandsontable, DT, shinyBS, prettydoc, VIM (≥ 4.7.0)
LinkingTo: Rcpp
Suggests: laeken, testthat
Published: 2020-02-11
Author: Matthias Templ ORCID iD [aut, cre], Bernhard Meindl [aut], Alexander Kowarik ORCID iD [aut]
Maintainer: Matthias Templ <matthias.templ at>
License: GPL-2
NeedsCompilation: yes
Citation: sdcMicro citation info
Materials: README NEWS
CRAN checks: sdcMicro results


Reference manual: sdcMicro.pdf
Vignettes: Using the interactive GUI - sdcApp
Guidelines for statistical disclosure control using sdcMicro
Package source: sdcMicro_5.5.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: sdcMicro_5.5.1.tgz, r-oldrel: sdcMicro_5.5.1.tgz
Old sources: sdcMicro archive


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