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

Data from statistical agencies and other institutions are mostly confidential. This package can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. In addition, various risk estimation methods are included. Note that the package includes a graphical user interface that allows to use various methods of this package.

Version: 5.4.0
Depends: R (≥ 2.10)
Imports: utils, stats, graphics, car, carData, rmarkdown, knitr, data.table, xtable, robustbase, cluster, MASS, e1071, tools, Rcpp, methods, sets, ggplot2, shiny, haven, rhandsontable, DT, shinyBS, prettydoc, VIM (≥ 4.7.0)
LinkingTo: Rcpp
Suggests: laeken, testthat
Published: 2019-05-16
Author: Matthias Templ [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
In views: OfficialStatistics
CRAN checks: sdcMicro results


Reference manual: sdcMicro.pdf
Vignettes: Using the interactive GUI - sdcApp
Guidelines for statistical disclosure control using sdcMicro
Package source: sdcMicro_5.4.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: sdcMicro_5.4.0.tgz, r-oldrel: sdcMicro_5.4.0.tgz
Old sources: sdcMicro archive


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