Package: SDCNway 1.1.0

John Riddles

SDCNway: Tools to evaluate disclosure risk

A package for calculating disclosure risk measures. This includes record-level measures primarily using exhaustive tabulation, as well as file-level measures using a loglinear model.

Authors:John Riddles [aut, cre], Westat [cph]

SDCNway_1.1.0.tar.gz
SDCNway_1.1.0.zip(r-4.5)SDCNway_1.1.0.zip(r-4.4)SDCNway_1.1.0.zip(r-4.3)
SDCNway_1.1.0.tgz(r-4.4-any)SDCNway_1.1.0.tgz(r-4.3-any)
SDCNway_1.1.0.tar.gz(r-4.5-noble)SDCNway_1.1.0.tar.gz(r-4.4-noble)
SDCNway_1.1.0.tgz(r-4.4-emscripten)SDCNway_1.1.0.tgz(r-4.3-emscripten)
SDCNway.pdf |SDCNway.html✨
SDCNway/json (API)

# Install 'SDCNway' in R:

install.packages('SDCNway', repos = c('https://dataprotectiontoolkit.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dataprotectiontoolkit/sdcnway/issues

Datasets:

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

On CRAN:

2.00 score 1 stars 122 downloads 3 exports 35 dependencies

Last updated 2 years agofrom:c2064517f4. Checks:OK: 3 NOTE: 4. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 05 2024
R-4.5-win	NOTE	Nov 05 2024
R-4.5-linux	NOTE	Nov 05 2024
R-4.4-win	NOTE	Nov 05 2024
R-4.4-mac	NOTE	Nov 05 2024
R-4.3-win	OK	Nov 05 2024
R-4.3-mac	OK	Nov 05 2024

Exports:sdc_extabs sdc_loglinear sdc_loglinear_iter

Dependencies:cli colorspace dplyr fansi farver generics ggplot2 glue gtable isoband labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig plyr R6 rbibutils RColorBrewer Rcpp Rdpack rlang scales tibble tidyselect utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
A subset of the 1992 National Adult Literacy Study (NALS) prison study public-use microdata file.	exampledata
Calculate risk measures through exhaustive tabulations, Mu-Argus, and other methods.	plot.sdc_extabs print.sdc_extabs sdc_extabs
sdc_loglinear	plot.sdc_loglinear print.sdc_loglinear sdc_loglinear
sdc_loglinear_iter	plot.sdc_loglinear_iter print.sdc_loglinear_iter sdc_loglinear_iter