This package is considered a duplicate. The official version of this package is found at:https://sdctools.r-universe.dev/sdcMicro

Package: sdcMicro 5.8.2

Matthias Templ

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:Matthias Templ [aut, cre], Bernhard Meindl [aut], Alexander Kowarik [aut], Johannes Gussenbauer [aut], Organisation For Economic Co-Operation And Development [cph], Statistics Netherlands [cph], Pascal Heus [cph]

sdcMicro_5.8.2.tar.gz
sdcMicro_5.8.2.tar.gz(r-4.7-arm64)sdcMicro_5.8.2.tar.gz(r-4.7-x86_64)sdcMicro_5.8.2.tar.gz(r-4.6-arm64)sdcMicro_5.8.2.tar.gz(r-4.6-x86_64)
sdcMicro_5.8.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
sdcMicro/json (API)
NEWS

# Install 'sdcMicro' in R:

install.packages('sdcMicro', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sdctools/sdcmicro/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

casc1 - Small Artificial Data set
CASCrefmicrodata - Census data set
EIA - EIA data set
francdat - Data from the casc project
free1 - Demo data set from mu-Argus
microData - MicroData
Tarragona - Tarragona data set
testdata - A real-world data set on household income and expenditures
testdata2 - A real-world data set on household income and expenditures

On CRAN:

cpp

5.99 score 1 stars 312 scripts 1.3k downloads 4 mentions 64 exports 156 dependencies

Last updated from:e36e8ab6ae. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	210
linux-devel-x86_64	OK	223
source / vignettes	OK	331
linux-release-arm64	OK	201
linux-release-x86_64	OK	221
wasm-release	OK	171

Exports:addGhostVars addNoise AI_applyAnonymization AI_createSdcObj argus_microaggregation argus_rankswap calcRisks createDat createNewID createSdcObj dataGen dRisk dRiskRMD dUtility extractManipData freq freqCalc generateStrata get.sdcMicroObj globalRecode groupAndRename IL_correl IL_variables importProblem indivRisk infoLoss kAnon kAnon_violations ldiversity LocalRecProg localSupp localSuppression mafast measure_risk mergeHouseholdData microaggregation microaggrGower modRisk mvTopCoding nextSdcObj plot.localSuppression plotMicro pram print rankSwap readMicrodata recordLinkage recordSwap removeDirectID report riskyCells sdcApp selectHouseholdData set.sdcMicroObj show shuffle strataVar<-suda2 topBotCoding undolast valTable varToFactor varToNumeric writeSafeFile

Dependencies:abind askpass backports base64enc bbotk bit bit64 boot broom bslib cachem car carData checkmate class cli clipr cluster codetools colorspace commonmark cowplot cpp11 crayon crosstalk curl data.table DEoptimR Deriv digest doBy dplyr DT e1071 evaluate farver fastmap fontawesome forcats forecast Formula fracdiff fs future future.apply generics ggplot2 globals glue gtable haven highr hms htmltools htmlwidgets httpuv httr isoband jquerylib jsonlite knitr labeling laeken later lattice lazyeval lgr lifecycle listenv lme4 lmtest magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa mirai mlbench mlr3 mlr3learners mlr3measures mlr3misc mlr3pipelines mlr3tuning modelr nanonext nlme nloptr nnet numDeriv openssl otel palmerpenguins paradox parallelly pbkrtest pillar pkgconfig prettydoc prettyunits progress promises proxy PRROC purrr quantreg R6 ranger rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack readr reformulas rhandsontable rlang rmarkdown robustbase S7 sass scales shiny sourcetools sp SparseM stringi stringr survival sys tibble tidyr tidyselect timeDate tinytex tzdb urca utf8 uuid vcd vctrs VIM viridisLite vroom withr xfun xgboost xtable yaml zoo

AI-Assisted Statistical Disclosure Control with sdcMicro

Matthias Templ

Rendered fromai_assisted_anonymization.Rmdusingknitr::rmarkdownon Jun 12 2026.

Last update: 2026-06-12
Started: 2026-03-10

Targeted Record Swapping

Johannes Gussenbauer

Rendered fromrecordSwapping.Rmdusingknitr::rmarkdownon Jun 12 2026.

Last update: 2024-03-12
Started: 2022-07-17

Using the interactive GUI - sdcApp

Bernhard Meindl

Rendered fromsdcMicro.Rmdusingknitr::rmarkdownon Jun 12 2026.

Last update: 2019-10-30
Started: 2018-04-13

Help page	Topics
addGhostVars	addGhostVars
Adding noise to perturb data	addNoise
AI_applyAnonymization: Automatically apply anonymization strategy using LLM	AI_applyAnonymization
Create an sdcMicro Object with LLM Assistance	AI_createSdcObj
argus_microaggregation	argus_microaggregation
argus_rankswap	argus_rankswap
Recompute Risk and Frequencies for a sdcMicroObj	calcRisks
Small Artificial Data set	casc1
Census data set	CASCrefmicrodata
Dummy Dataset for Record Swapping	createDat
Creates new randomized IDs	createNewID
Fast generation of synthetic data	dataGen
Distribute number of swaps	distributeDraws_cpp
Distribute	distributeRandom_cpp
overal disclosure risk	dRisk
RMD based disclosure risk	dRiskRMD
Data-Utility measures	dUtility
EIA data set	EIA
Remove certain variables from the data set inside a sdc object.	extractManipData
data from the casc project	francdat
Demo data set from mu-Argus	free1
Freq	freq
Frequencies calculation for risk estimation	freqCalc
Generate one strata variable from multiple factors	generateStrata
get.sdcMicroObj	get.sdcMicroObj
Global Recoding	globalRecode
Join levels of a variables in an object of class 'sdcMicroObj-class' or 'factor' or 'data.frame'	groupAndRename
Additional Information-Loss measures	IL_correl IL_variables print.il_correl print.il_variables
importProblem	importProblem
Individual Risk computation	indivRisk
Calculate information loss after targeted record swapping	infoLoss
'kAnon_violations'	kAnon_violations kAnon_violations,sdcMicroObj,logical,numeric-method
Local recoding via Edmond's maximum weighted matching algorithm	LocalRecProg
Local Suppression	localSupp
Local Suppression to obtain k-anonymity	kAnon localSuppression
Fast and Simple Microaggregation	mafast
Disclosure Risk for Categorical Variables	ldiversity measure_risk print.ldiversity print.measure_risk
Replaces the raw household-level data with the anonymized household-level data in the full dataset for anonymization of data with a household structure (or other hierarchical structure). Requires a matching household ID in both files.	mergeHouseholdData
Microaggregation	microaggregation
Microaggregation for numerical and categorical key variables based on a distance similar to the Gower Distance	microaggrGower
microData	microData
Global risk using log-linear models.	modRisk
Detection and winsorization of multivariate outliers	mvTopCoding
nextSdcObj	nextSdcObj
Reorder data	orderData_cpp
Plots for localSuppression objects	plot.localSuppression
Plotfunctions for objects of class sdcMicroObj	plot.sdcMicroObj
Comparison plots	plotMicro
Post Randomization	pram
Print method for objects from class freqCalc.	print.freqCalc
Print method for objects from class indivRisk	print.indivRisk
Print method for objects from class localSuppression	print.localSuppression
Print method for objects from class micro	print.micro
Print method for objects from class modrisk	modrisk print.modrisk
Print method for objects from class pram	print.pram
Print and Extractor Functions for objects of class 'sdcMicroObj-class'	print,sdcMicroObj-method print.sdcMicroObj
Print method for objects from class suda2	print.suda2
Random Sampling	randSample_cpp
Rank Swapping	rankSwap
readMicrodata	readMicrodata
Record linkage via Global Distance-Based Record Linkage	recordLinkage
Targeted Record Swapping	recordSwap recordSwap.default recordSwap.sdcMicroObj
Targeted Record Swapping	recordSwap_cpp
Remove certain variables from the data set inside a sdc object.	removeDirectID
Generate an Html-report from an sdcMicroObj	report
riskyCells	riskyCells
Random sample for donor records	sampleDonor_cpp
sdcApp	sdcApp
Class '"sdcMicroObj"'	createSdcObj sdcMicroObj-class strataVar<- strataVar<-,sdcMicroObj,characterOrNULL-method undolast
Creates a household level file from a dataset with a household structure.	selectHouseholdData
set.sdcMicroObj	set.sdcMicroObj
Define Swap-Levels	setLevels_cpp
Calculate Risk	setRisk_cpp
Show	show,sdcMicroObj-method
Shuffling and EGADP	shuffle
subsetMicrodata	subsetMicrodata
Suda2: Detecting Special Uniques	suda2
Summary method for objects from class freqCalc	summary.freqCalc
Summary method for objects from class micro	summary.micro
Summary method for objects from class pram	summary.pram
Tarragona data set	Tarragona
A real-world data set on household income and expenditures	testdata testdata2
Top and Bottom Coding	topBotCoding
Comparison of different microaggregation methods	valTable
Change the a keyVariable of an object of class 'sdcMicroObj-class' from Numeric to Factor or from Factor to Numeric	varToFactor varToNumeric
writeSafeFile	writeSafeFile

Package: sdcMicro 5.8.2

sdcMicro: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation

AI-Assisted Statistical Disclosure Control with sdcMicro

Targeted Record Swapping

Using the interactive GUI - sdcApp

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)