Description
Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation.
Description
Data from statistical agencies and other institutions are mostly confidential. This package, introduced in 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 anonymization methods are included. Note that the package includes a graphical user interface published in Meindl and Templ (2019) <doi:10.3390/a12090191> that allows to use various methods of this package.
README.md
sdcMicro
sdcMicro is an R-package to anonymize microdata. Most functionalities of the package are also available via an interactive shiny-based graphical user interface.
The online documentation can also be found at sdctools.github.io/sdcMicro
.