# Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation

## Documentation for package ‘sdcMicro’ version 5.8.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

A C D E F G I K L M N O P R S T U V W

## -- A --

addGhostVars | addGhostVars
addNoise | Adding noise to perturb data
AI_applyAnonymization | AI_applyAnonymization: Automatically apply anonymization strategy using LLM
AI_createSdcObj | Create an sdcMicro Object with LLM Assistance
argus_microaggregation | argus_microaggregation
argus_rankswap | argus_rankswap

## -- C --

calcRisks | Recompute Risk and Frequencies for a sdcMicroObj
casc1 | Small Artificial Data set
CASCrefmicrodata | Census data set
createDat | Dummy Dataset for Record Swapping
createNewID | Creates new randomized IDs
createSdcObj | Class '"sdcMicroObj"'

## -- D --

dataGen | Fast generation of synthetic data
distributeDraws_cpp | Distribute number of swaps
distributeRandom_cpp | Distribute
dRisk | overal disclosure risk
dRiskRMD | RMD based disclosure risk
dUtility | Data-Utility measures

## -- E --

EIA | EIA data set
extractManipData | Remove certain variables from the data set inside a sdc object.

## -- F --

francdat | data from the casc project
free1 | Demo data set from mu-Argus
freq | Freq
freqCalc | Frequencies calculation for risk estimation

## -- G --

generateStrata | Generate one strata variable from multiple factors
get.sdcMicroObj | get.sdcMicroObj
globalRecode | Global Recoding
groupAndRename | Join levels of a variables in an object of class 'sdcMicroObj-class' or 'factor' or 'data.frame'

## -- I --

IL_correl | Additional Information-Loss measures
IL_variables | Additional Information-Loss measures
importProblem | importProblem
indivRisk | Individual Risk computation
infoLoss | Calculate information loss after targeted record swapping

## -- K --

kAnon | Local Suppression to obtain k-anonymity
kAnon_violations | 'kAnon_violations'
kAnon_violations-method | 'kAnon_violations'

## -- L --

ldiversity | Disclosure Risk for Categorical Variables
LocalRecProg | Local recoding via Edmond's maximum weighted matching algorithm
localSupp | Local Suppression
localSuppression | Local Suppression to obtain k-anonymity

## -- M --

mafast | Fast and Simple Microaggregation
measure_risk | Disclosure Risk for Categorical Variables
mergeHouseholdData | 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.
microaggregation | Microaggregation
microaggrGower | Microaggregation for numerical and categorical key variables based on a distance similar to the Gower Distance
microData | microData
modRisk | Global risk using log-linear models.
modrisk | Print method for objects from class modrisk
mvTopCoding | Detection and winsorization of multivariate outliers

## -- N --

nextSdcObj | nextSdcObj

## -- O --

orderData_cpp | Reorder data

## -- P --

plot.localSuppression | Plots for localSuppression objects
plot.sdcMicroObj | Plotfunctions for objects of class sdcMicroObj
plotMicro | Comparison plots
pram | Post Randomization
print-method | Print and Extractor Functions for objects of class 'sdcMicroObj-class'
print.freqCalc | Print method for objects from class freqCalc.
print.il_correl | Additional Information-Loss measures
print.il_variables | Additional Information-Loss measures
print.indivRisk | Print method for objects from class indivRisk
print.ldiversity | Disclosure Risk for Categorical Variables
print.localSuppression | Print method for objects from class localSuppression
print.measure_risk | Disclosure Risk for Categorical Variables
print.micro | Print method for objects from class micro
print.modrisk | Print method for objects from class modrisk
print.pram | Print method for objects from class pram
print.sdcMicroObj | Print and Extractor Functions for objects of class 'sdcMicroObj-class'
print.suda2 | Print method for objects from class suda2

## -- R --

randSample_cpp | Random Sampling
rankSwap | Rank Swapping
readMicrodata | readMicrodata
recordLinkage | Record linkage via Global Distance-Based Record Linkage
recordSwap | Targeted Record Swapping
recordSwap.default | Targeted Record Swapping
recordSwap.sdcMicroObj | Targeted Record Swapping
recordSwap_cpp | Targeted Record Swapping
removeDirectID | Remove certain variables from the data set inside a sdc object.
report | Generate an Html-report from an sdcMicroObj
riskyCells | riskyCells

## -- S --

sampleDonor_cpp | Random sample for donor records
sdcApp | sdcApp
sdcMicroObj-class | Class '"sdcMicroObj"'
selectHouseholdData | Creates a household level file from a dataset with a household structure.
set.sdcMicroObj | set.sdcMicroObj
setLevels_cpp | Define Swap-Levels
setRisk_cpp | Calculate Risk
show-method | Show
shuffle | Shuffling and EGADP
strataVar<- | Class '"sdcMicroObj"'
strataVar<--method | Class '"sdcMicroObj"'
subsetMicrodata | subsetMicrodata
suda2 | Suda2: Detecting Special Uniques
summary.freqCalc | Summary method for objects from class freqCalc
summary.micro | Summary method for objects from class micro
summary.pram | Summary method for objects from class pram

## -- T --

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
topBotCoding | Top and Bottom Coding

## -- U --

undolast | Class '"sdcMicroObj"'

## -- V --

valTable | Comparison of different microaggregation methods
varToFactor | Change the a keyVariable of an object of class 'sdcMicroObj-class' from Numeric to Factor or from Factor to Numeric
varToNumeric | Change the a keyVariable of an object of class 'sdcMicroObj-class' from Numeric to Factor or from Factor to Numeric

## -- W --

writeSafeFile | writeSafeFile