Package: sdcMicro 5.7.8
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) <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.
Authors:
sdcMicro_5.7.8.tar.gz
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sdcMicro.pdf |sdcMicro.html✨
sdcMicro/json (API)
NEWS
# Install 'sdcMicro' in R: |
install.packages('sdcMicro', repos = c('https://sdctools.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sdctools/sdcmicro/issues
- CASCrefmicrodata - Census data set
- EIA - EIA data set
- Tarragona - Tarragona data set
- casc1 - Small Artificial Data set
- francdat - Data from the casc project
- free1 - Demo data set from mu-Argus
- microData - MicroData
- testdata - A real-world data set on household income and expenditures
- testdata2 - A real-world data set on household income and expenditures
Last updated 1 months agofrom:ac5e73db00. Checks:OK: 7 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 06 2024 |
R-4.5-win-x86_64 | NOTE | Nov 06 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 06 2024 |
R-4.4-win-x86_64 | OK | Nov 06 2024 |
R-4.4-mac-x86_64 | OK | Nov 06 2024 |
R-4.4-mac-aarch64 | OK | Nov 06 2024 |
R-4.3-win-x86_64 | OK | Nov 06 2024 |
R-4.3-mac-x86_64 | OK | Nov 06 2024 |
R-4.3-mac-aarch64 | OK | Nov 06 2024 |
Exports:addGhostVarsaddNoiseargus_microaggregationargus_rankswapcalcRiskscreateDatcreateNewIDcreateSdcObjdataGendRiskdRiskRMDdUtilityextractManipDatafreqfreqCalcgenerateStrataget.sdcMicroObjglobalRecodegroupAndRenameIL_correlIL_variablesimportProblemindivRiskinfoLosskAnonkAnon_violationsldiversityLocalRecProglocalSupplocalSuppressionmafastmeasure_riskmergeHouseholdDatamicroaggregationmicroaggrGowermodRiskmvTopCodingnextSdcObjplot.localSuppressionplotMicropramprintrankSwapreadMicrodatarecordSwapremoveDirectIDreportriskyCellssdcAppselectHouseholdDataset.sdcMicroObjshowshufflestrataVar<-suda2topBotCodingundolastvalTablevarToFactorvarToNumericwriteSafeFile
Dependencies:abindbackportsbase64encbitbit64bootbroombslibcachemcarcarDataclassclicliprclustercolorspacecommonmarkcowplotcpp11crayoncrosstalkdata.tableDEoptimRDerivdigestdoBydplyrDTe1071evaluatefansifarverfastmapfontawesomeforcatsFormulafsgenericsggplot2gluegtablehavenhighrhmshtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaekenlaterlatticelazyevallifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigprettydocprettyunitsprogresspromisesproxypurrrquantregR6rangerrappdirsRColorBrewerRcppRcppEigenreadrrhandsontablerlangrmarkdownrobustbasesassscalesshinyshinyBSsourcetoolsspSparseMstringistringrsurvivaltibbletidyrtidyselecttinytextzdbutf8vcdvctrsVIMviridisLitevroomwithrxfunxtableyamlzoo