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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.
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Package details |
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| Author | Matthias Templ [aut, cre] (<https://orcid.org/0000-0002-8638-5276>), Bernhard Meindl [aut], Alexander Kowarik [aut] (<https://orcid.org/0000-0001-8598-4130>), Johannes Gussenbauer [aut], Organisation For Economic Co-Operation And Development [cph] (Initial published c(++) code (under LGPL) code for rank swapping, mdav-microaggregation, suda2 and other (hierarchical) risk measures), Statistics Netherlands [cph] (microAggregation cpp code (under EUPL v1.1)), Pascal Heus [cph] (original measure threshold cpp code (under LGPL)) |
| Maintainer | Matthias Templ <matthias.templ@gmail.com> |
| License | GPL-2 |
| Version | 5.7.6 |
| URL | https://github.com/sdcTools/sdcMicro |
| Package repository | View on CRAN |
| Installation |
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