sdcMicro

Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation

Data from statistical agencies and other institutions are mostly confidential. This package, introduced in Templ, Kowarik and Meindl (2017) , 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) . Various risk estimation and anonymization methods are included. Note that the package includes a graphical user interface published in Meindl and Templ (2019) that allows to use various methods of this package.

sdcMicro

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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.

Reference manual

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install.packages("sdcMicro")

5.8.2 by Matthias Templ, 4 months ago

https://github.com/sdcTools/sdcMicro

Browse source code at https://github.com/cran/sdcMicro

Authors: Matthias Templ [aut, cre] (ORCID: , Bernhard Meindl [aut] , Alexander Kowarik [aut] (ORCID: , 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))

Documentation:   PDF Manual  

GPL-2 license

Imports utils, stats, graphics, car, carData, rmarkdown, knitr, data.table, xtable, robustbase, cluster, MASS, e1071, tools, Rcpp, methods, ggplot2, shiny, haven, rhandsontable, DT, prettydoc, VIM, httr, jsonlite

Suggests clue, laeken, parallel, testthat, pdftools, yaml

Linking to Rcpp

Suggested by riskutility.

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