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CRAN: Package sdcMicro

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.

Version: 5.7.8 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: 2024-03-11 DOI: 10.32614/CRAN.package.sdcMicro Author: Matthias Templ [aut, cre], Bernhard Meindl [aut], Alexander Kowarik [aut], 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 at gmail.com> License: GPL-2 URL: https://github.com/sdcTools/sdcMicro NeedsCompilation: yes Citation: sdcMicro citation info Materials: README NEWS In views: OfficialStatistics CRAN checks: sdcMicro results

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