SDCNway: Tools to Evaluate Disclosure Risk

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) <doi:10.1198/016214507000001328> for a description of the file-level risk measures and the loglinear model approach.

Version: 1.0.1
Depends: R (≥ 3.6.0), Rdpack
Imports: methods, plyr (≥ 1.8.5), dplyr (≥ 0.8.4), ggplot2 (≥ 3.2.1), MASS (≥ 3.6.0)
Suggests: R.rsp
Published: 2020-12-17
Author: John Riddles [aut, cre], Westat [cph]
Maintainer: John Riddles <JohnRiddles at westat.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: SDCNway results

Documentation:

Reference manual: SDCNway.pdf
Vignettes: SDCNWay

Downloads:

Package source: SDCNway_1.0.1.tar.gz
Windows binaries: r-devel: SDCNway_1.0.1.zip, r-release: SDCNway_1.0.1.zip, r-oldrel: SDCNway_1.0.1.zip
macOS binaries: r-release (arm64): SDCNway_1.0.1.tgz, r-release (x86_64): SDCNway_1.0.1.tgz, r-oldrel: SDCNway_1.0.1.tgz
Old sources: SDCNway archive

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