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: 4.6.0
Depends: R (≥ 2.10), rmarkdown, knitr, data.table, xtable
Imports: utils, stats, graphics, car, robustbase, cluster, MASS, e1071, tools, Rcpp, methods, sets, ggplot2
LinkingTo: Rcpp
Suggests: laeken, testthat
Published: 2015-10-01
Author: Matthias Templ, Alexander Kowarik, Bernhard Meindl
Maintainer: Matthias Templ <matthias.templ at gmail.com>
BugReports: NA
License: GPL-2
URL: https://github.com/alexkowa/sdcMicro
NeedsCompilation: yes
Citation: sdcMicro citation info
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_4.6.0.tar.gz
Windows binaries: r-devel: sdcMicro_4.6.0.zip, r-release: sdcMicro_4.6.0.zip, r-oldrel: sdcMicro_4.6.0.zip
OS X Mavericks binaries: r-release: sdcMicro_4.6.0.tgz, r-oldrel: sdcMicro_4.5.0.tgz
Old sources: sdcMicro archive

Reverse dependencies:

Reverse depends: sdcMicroGUI