sdcMicro: Statistical Disclosure Control Methods for Anonymization of Microdata 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: 5.0.1
Depends: R (≥ 2.10)
Imports: utils, stats, graphics, car, rmarkdown, knitr, data.table, xtable, robustbase, cluster, MASS, e1071, tools, Rcpp, methods, sets, ggplot2, shiny, haven, rhandsontable, DT, shinyBS, prettydoc
LinkingTo: Rcpp
Suggests: laeken, testthat
Published: 2017-03-14
Author: Matthias Templ, Alexander Kowarik, Bernhard Meindl
Maintainer: Matthias Templ <matthias.templ at gmail.com>
License: GPL-2
URL: https://github.com/sdcTools/sdcMicro
NeedsCompilation: yes
Citation: sdcMicro citation info
Materials: README NEWS
In views: OfficialStatistics
CRAN checks: sdcMicro results

Downloads:

Reference manual: sdcMicro.pdf
Vignettes: Vignette Title
Guidelines for statistical disclosure control using sdcMicro
Package source: sdcMicro_5.0.1.tar.gz
Windows binaries: r-devel: sdcMicro_5.0.1.zip, r-release: sdcMicro_5.0.1.zip, r-oldrel: sdcMicro_5.0.1.zip
OS X El Capitan binaries: r-release: sdcMicro_5.0.1.tgz
OS X Mavericks binaries: r-oldrel: sdcMicro_5.0.1.tgz
Old sources: sdcMicro archive

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