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sdcMicro

sdcMicro is an R-package to anonymize microdata. Most functionalities of the package are also available via an interactive shiny-based graphical user interface.

The online documentation can also be found at sdctools.github.io/sdcMicro.

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Version

Install

install.packages('sdcMicro')

Monthly Downloads

685

Version

5.7.2

License

GPL-2

Issues

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Stars

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Repository

https://github.com/sdcTools/sdcMicro

Maintainer

Matthias Templ

Last Published

August 9th, 2022

Functions in sdcMicro (5.7.2)

Recompute Risk and Frequencies for a sdcMicroObj

argus_microaggregation

argus_microaggregation

Tarragona data set

Local recoding via Edmond's maximum weighted matching algorithm

Adding noise to perturb data

Small Artificial Data set

CASCrefmicrodata

Census data set

Fast generation of synthetic data

distributeDraws_cpp

Distribute number of swaps

Global Recoding

Frequencies calculation for risk estimation

overal disclosure risk

Creates new randomized IDs

Join levels of a variables in an object of class sdcMicroObj-class or factor or data.frame

Fast and Simple Microaggregation

Generate one strata variable from multiple factors

get.sdcMicroObj

get.sdcMicroObj

RMD based disclosure risk

localSuppression

Local Suppression to obtain k-anonymity

Data-Utility measures

distributeRandom_cpp

extractManipData

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

kAnon_violations

kAnon_violations

Additional Information-Loss measures

Post Randomization

Print method for objects from class freqCalc.

Local Suppression

print.localSuppression

Print method for objects from class localSuppression

print.indivRisk

Print method for objects from class indivRisk

Targeted Record Swapping

Dummy Dataset for Record Swapping

Microaggregation for numerical and categorical key variables based on a distance similar to the Gower Distance

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.

Individual Risk computation

Random Sampling

Demo data set from mu-Argus

data from the casc project

Print method for objects from class suda2

Calculate information loss after targeted record swapping

microaggregation

Microaggregation

Global risk using log-linear models.

Detection and winsorization of multivariate outliers

plot.sdcMicroObj

Plotfunctions for objects of class sdcMicroObj-class

summary.freqCalc

Summary method for objects from class freqCalc

Suda2: Detecting Special Uniques

sdcMicro-package

Statistical Disclosure Control (SDC) for the generation of protected microdata for researchers and for public use.

plot.localSuppression

plot method for localSuppression objects

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

Generate an Html-report from an sdcMicroObj

Comparison plots

print.sdcMicroObj

Print and Extractor Functions for objects of class sdcMicroObj-class

Print method for objects from class pram

set.sdcMicroObj

set.sdcMicroObj

Shuffling and EGADP

subsetMicrodata

subsetMicrodata

Top and Bottom Coding

selectHouseholdData

Creates a household level file from a dataset with a household structure.

Print method for objects from class micro

A real-world data set on household income and expenditures

Print method for objects from class modrisk

sdcMicroObj-class

Class "sdcMicroObj"

Define Swap-Levels

Summary method for objects from class micro

Summary method for objects from class pram

sampleDonor_cpp

Random sample for donor records

Change the a keyVariable of an object of class sdcMicroObj-class from Numeric to Factor or from Factor to Numeric

show,sdcMicroObj-method

Comparison of different microaggregation methods