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SDCNway (version 1.0.1)

Tools to Evaluate Disclosure Risk

Description

Tools for calculating disclosure risk measures for microdata, including record-level and file-level measures. The record-level disclosure risk is estimated primarily using exhaustive tabulation. The file-level disclosure risk is estimated by fitting loglinear models on the observed sample counts in cells formed by key variables and their interactions. Funded by the National Center for Education Statistics. See Skinner and Shlomo (2008) for a description of the file-level risk measures and the loglinear model approach.

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Version

Install

install.packages('SDCNway')

Monthly Downloads

186

Version

1.0.1

License

GPL-2

Maintainer

John Riddles

Last Published

December 17th, 2020

Functions in SDCNway (1.0.1)

sdc_extabs

Calculate risk measures through exhaustive tabulations, Mu-Argus, and other methods.
sdc_loglinear

Calculates file-level risk measures using a loglinear model.
exampledata

A subset of the 1992 National Adult Literacy Study (NALS) prison study public-use microdata file.