Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation R package sdcMicro version 5.8.2 CRAN Task View: OfficialStatistics (https://CRAN.R-project.org/view=OfficialStatistics) 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. Software 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, prettydoc, VIM (>= 4.7.0), httr, jsonlite LinkingTo: Rcpp Suggests: clue, laeken, parallel, testthat, pdftools, yaml Matthias Templ <matthias.templ@gmail.com> Comprehensive R Archive Network (CRAN) Matthias Templ [aut, cre] (ORCID: <https://orcid.org/0000-0002-8638-5276>), Bernhard Meindl [aut], Alexander Kowarik [aut] (ORCID: <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)) GPL-2 2026-06-12 application/tgz https://CRAN.R-project.org/package=sdcMicro doi:10.32614/CRAN.package.sdcMicro