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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

785

Version

5.7.3

License

GPL-2

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/sdcTools/sdcMicro

Maintainer

Matthias Templ

Last Published

October 5th, 2022

Functions in sdcMicro (5.7.3)

Adding noise to perturb data

argus_microaggregation

argus_microaggregation

Local recoding via Edmond's maximum weighted matching algorithm

CASCrefmicrodata

Census data set

Recompute Risk and Frequencies for a sdcMicroObj

Small Artificial Data set

RMD based disclosure risk

Data-Utility measures

distributeRandom_cpp

data from the casc project

Demo data set from mu-Argus

Tarragona data set

Calculate information loss after targeted record swapping

Creates new randomized IDs

Individual Risk computation

overal disclosure risk

Generate one strata variable from multiple factors

get.sdcMicroObj

get.sdcMicroObj

Additional Information-Loss measures

kAnon_violations

kAnon_violations

extractManipData

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

Fast generation of synthetic data

distributeDraws_cpp

Distribute number of swaps

Global Recoding

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.

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

Frequencies calculation for risk estimation

Disclosure Risk for Categorical Variables

Fast and Simple Microaggregation

plot.localSuppression

Plots for localSuppression objects

Local Suppression

print.indivRisk

Print method for objects from class indivRisk

localSuppression

Local Suppression to obtain k-anonymity

print.localSuppression

Print method for objects from class localSuppression

Detection and winsorization of multivariate outliers

Dummy Dataset for Record Swapping

Print method for objects from class suda2

Global risk using log-linear models.

Comparison plots

plot.sdcMicroObj

Plotfunctions for objects of class sdcMicroObj

microaggregation

Microaggregation

Targeted Record Swapping

print.sdcMicroObj

Print and Extractor Functions for objects of class sdcMicroObj-class

sdcMicro-package

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

Print method for objects from class modrisk

Print method for objects from class micro

Random Sampling

sdcMicroObj-class

Class "sdcMicroObj"

Generate an Html-report from an sdcMicroObj

Print method for objects from class pram

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

set.sdcMicroObj

set.sdcMicroObj

selectHouseholdData

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

Suda2: Detecting Special Uniques

Shuffling and EGADP

summary.freqCalc

Summary method for objects from class freqCalc

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

subsetMicrodata

subsetMicrodata

Define Swap-Levels

Summary method for objects from class pram

Summary method for objects from class micro

A real-world data set on household income and expenditures

show,sdcMicroObj-method

Post Randomization

Top and Bottom Coding

Comparison of different microaggregation methods

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

Print method for objects from class freqCalc.