Other packages > Find by keyword >

sdcMicro  

Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation
View on CRAN: Click here


Download and install sdcMicro package within the R console
Install from CRAN:
install.packages("sdcMicro")

Install from Github:
library("remotes")
install_github("cran/sdcMicro")

Install by package version:
library("remotes")
install_version("sdcMicro", "5.7.8")



Attach the package and use:
library("sdcMicro")
Maintained by
Matthias Templ
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-05-29
Latest Update: 2024-01-26
Description:
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.
How to cite:
Matthias Templ (2007). sdcMicro: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation. R package version 5.7.8, https://cran.r-project.org/web/packages/sdcMicro. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0 (2007-05-29 17:43), 1.1 (2007-06-02 18:40), 1.2 (2007-06-10 21:50), 1.3.1 (2007-06-19 13:48), 1.3 (2007-06-13 09:42), 2.0.1 (2007-07-13 14:13), 2.0.2 (2007-07-28 18:50), 2.0.3 (2007-09-01 13:05), 2.0.4 (2007-09-07 08:49), 2.1.0 (2007-09-21 17:23), 2.2.0 (2008-02-07 15:59), 2.4.1 (2008-02-29 17:53), 2.5.0 (2008-06-10 11:39), 2.5.1 (2008-09-05 19:20), 2.5.5 (2009-01-29 11:57), 2.5.7 (2009-02-10 13:55), 2.5.8 (2009-03-09 10:15), 2.6.1 (2009-09-18 22:32), 2.6.2 (2009-10-22 20:37), 2.6.3 (2009-11-29 18:23), 2.6.4 (2009-12-01 16:54), 2.6.5 (2010-08-17 14:53), 2.6.6 (2010-12-03 16:58), 2.6.7 (2012-01-26 07:20), 3.0.0 (2012-01-28 10:13), 3.1.0 (2012-03-20 09:26), 3.1.1 (2012-04-12 16:02), 3.1.2 (2012-09-04 12:38), 4.0.0 (2013-03-22 10:44), 4.0.1 (2013-04-06 17:00), 4.0.2 (2013-04-22 22:04), 4.0.3 (2013-06-12 09:19), 4.1.0 (2013-11-04 18:58), 4.2.0 (2014-01-10 15:48), 4.3.0 (2014-03-03 09:01), 4.4.0 (2014-07-18 15:21), 4.5.0 (2015-05-04 15:33), 4.6.0 (2015-10-01 13:46), 4.6.1 (2016-08-19 17:05), 5.0.0 (2017-01-04 12:09), 5.0.1 (2017-03-14 14:21), 5.0.2 (2017-05-25 00:31), 5.0.3 (2017-08-10 17:12), 5.0.4 (2017-10-20 20:29), 5.1.0 (2018-01-26 16:36), 5.2.0 (2018-04-13 19:22), 5.3.0 (2018-05-16 17:28), 5.4.0 (2019-05-16 12:10), 5.4.1 (2019-10-30 12:30), 5.5.0 (2019-11-21 11:40), 5.5.1 (2020-02-11 14:40), 5.6.0 (2021-01-27 11:40), 5.6.1 (2021-07-26 15:10), 5.7.1 (2022-07-17 04:20), 5.7.2 (2022-08-09 17:40), 5.7.3 (2022-10-06 01:10), 5.7.4 (2022-10-26 14:50), 5.7.5 (2023-01-09 13:30), 5.7.6 (2023-09-27 12:20), 5.7.7 (2024-01-08 21:50)
Other packages that cited sdcMicro R package
View sdcMicro citation profile
Other R packages that sdcMicro depends, imports, suggests or enhances
Complete documentation for sdcMicro
Functions, R codes and Examples using the sdcMicro R package
Some associated functions: CASCrefmicrodata . EIA . LocalRecProg . Tarragona . addGhostVars . addNoise . argus_microaggregation . argus_rankswap . calcRisks . casc1 . createDat . createNewID . dRisk . dRiskRMD . dUtility . dataGen . distributeDraws_cpp . distributeRandom_cpp . extractManipData . francdat . free1 . freq . freqCalc . generateStrata . get.sdcMicroObj . globalRecode . groupAndRename . il_additional . importProblem . indivRisk . infoLoss . kAnon_violations . localSupp . localSuppression . mafast . measure_risk . mergeHouseholdData . microData . microaggrGower . microaggregation . modRisk . mvTopCoding . nextSdcObj . orderData_cpp . plot.localSuppression . plot.sdcMicroObj . plotMicro . pram . print.freqCalc . print.indivRisk . print.localSuppression . print.micro . print.modrisk . print.pram . print.sdcMicroObj . print.suda2 . randSample_cpp . rankSwap . readMicrodata . recordSwap . recordSwap_cpp . removeDirectID . report . riskyCells . sampleDonor_cpp . sdcApp . sdcMicro-package . sdcMicroObj-class . selectHouseholdData . set.sdcMicroObj . setLevels_cpp . setRisk_cpp . show-sdcMicroObj-method . shuffle . subsetMicrodata . suda2 . summary.freqCalc . summary.micro . summary.pram . testdata . topBotCoding . valTable . varToFactor . writeSafeFile . 
Some associated R codes: GUIfunctions.R . LocalRecProg.R . RcppExports.R . addGhostVars.R . createDat.R . createNewID.R . dRisk.R . dRiskRMD.R . dUtility.R . dataSets.R . globalRecode.R . groupAndRename.R . indivRisk.R . infoLoss.R . localSupp.R . localSuppression.R . maG.R . mafast.R . mdav.R . measure_risk.R . microaggregation.R . modRisk.R . muargus_compatibility_functions.R . mvTopCoding.R . plotFunctions.R . plotMicro.R . pram.R . printFunctions.R . rankSwap.R . recordSwap.R . report.R . riskyCells.R . sdcApp.R . sdcMicro-package.R . show_sdcMicroObj.R . shuffle.R . suda2.R . timeEstimation.R . topBotCoding.R . valTable.R . zzz.R .  Full sdcMicro package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
robregcc  
Robust Regression with Compositional Covariates
We implement the algorithm estimating the parameters of the robust regression model with composition ...
Download / Learn more Package Citations See dependency  
bacondecomp  
Goodman-Bacon Decomposition
Decomposition for differences-in-differences with variation in treatment timing from Goodman-Bacon ...
Download / Learn more Package Citations See dependency  
con2aqi  
Calculate the AQI from Pollutant Concentration
To calculate the AQI (Air Quality Index) from pollutant concentration data. O3, PM2.5, PM10, CO, SO ...
Download / Learn more Package Citations See dependency  

23,092

R Packages

198,677

Dependencies

62,675

Author Associations

23,089

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA