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 [aut, cre], Bernhard Meindl [aut], Alexander Kowarik [aut]
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
CRAN checks:	sdcMicro results

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