AI_applyAnonymization   AI_applyAnonymization: Automatically apply
                        anonymization strategy using LLM
AI_createSdcObj         Create an sdcMicro Object with LLM Assistance
CASCrefmicrodata        Census data set
EIA                     EIA data set
IL_correl               Additional Information-Loss measures
LocalRecProg            Local recoding via Edmond's maximum weighted
                        matching algorithm
Tarragona               Tarragona data set
addGhostVars            addGhostVars
addNoise                Adding noise to perturb data
argus_microaggregation
                        argus_microaggregation
argus_rankswap          argus_rankswap
calcRisks               Recompute Risk and Frequencies for a
                        sdcMicroObj
casc1                   Small Artificial Data set
createDat               Dummy Dataset for Record Swapping
createNewID             Creates new randomized IDs
dRisk                   overal disclosure risk
dRiskRMD                RMD based disclosure risk
dUtility                Data-Utility measures
dataGen                 Fast generation of synthetic data
distributeDraws_cpp     Distribute number of swaps
distributeRandom_cpp    Distribute
extractManipData        Remove certain variables from the data set
                        inside a sdc object.
francdat                data from the casc project
free1                   Demo data set from mu-Argus
freq                    Freq
freqCalc                Frequencies calculation for risk estimation
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'
importProblem           importProblem
indivRisk               Individual Risk computation
infoLoss                Calculate information loss after targeted
                        record swapping
kAnon_violations        'kAnon_violations'
localSupp               Local Suppression
localSuppression        Local Suppression to obtain k-anonymity
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.
microData               microData
microaggrGower          Microaggregation for numerical and categorical
                        key variables based on a distance similar to
                        the Gower Distance
microaggregation        Microaggregation
modRisk                 Global risk using log-linear models.
mvTopCoding             Detection and winsorization of multivariate
                        outliers
nextSdcObj              nextSdcObj
orderData_cpp           Reorder data
plot.localSuppression   Plots for localSuppression objects
plot.sdcMicroObj        Plotfunctions for objects of class sdcMicroObj
plotMicro               Comparison plots
pram                    Post Randomization
print.freqCalc          Print method for objects from class freqCalc.
print.indivRisk         Print method for objects from class indivRisk
print.localSuppression
                        Print method for objects from class
                        localSuppression
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
randSample_cpp          Random Sampling
rankSwap                Rank Swapping
readMicrodata           readMicrodata
recordSwap              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
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,sdcMicroObj-method
                        Show
shuffle                 Shuffling and EGADP
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
testdata                A real-world data set on household income and
                        expenditures
topBotCoding            Top and Bottom Coding
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
writeSafeFile           writeSafeFile
