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 sdcMicroGUI includes a graphical user interface for various methods in this package.

Version: 4.3.0
Depends: R (≥ 2.10), brew, knitr, data.table, xtable
Imports: car, robustbase, cluster, MASS, e1071, tools, Rcpp, methods, sets
LinkingTo: Rcpp
Suggests: laeken
Published: 2014-03-03
Author: Matthias Templ, Alexander Kowarik, Bernhard Meindl
Maintainer: Matthias Templ <matthias.templ at gmail.com>
License: GPL-2
URL: https://github.com/alexkowa/sdcMicro
NeedsCompilation: yes
Materials: README NEWS
In views: OfficialStatistics
CRAN checks: sdcMicro results

Downloads:

Reference manual: sdcMicro.pdf
Vignettes: Guidelines for statistical disclosure control using sdcMicro \\
Package source: sdcMicro_4.3.0.tar.gz
MacOS X binary: sdcMicro_4.3.0.tgz
Windows binary: sdcMicro_4.3.0.zip
Old sources: sdcMicro archive

Reverse dependencies:

Reverse depends: sdcMicroGUI