riskutility: Disclosure Risk and Data Utility Metrics for Synthetic and
Anonymized Data
Provides comprehensive methods to measure disclosure risk and data
utility for anonymized and synthetic data. Implements attribution-based risk
metrics including Correct Attribution Probability (CAP), Targeted CAP (TCAP),
Within Equivalence Class Attribution Probability (WEAP), and RAPID (Risk of
Attribute Prediction-Induced Disclosure). Also provides distance-based privacy
metrics such as Distance to Closest Record (DCR), Nearest Neighbor Distance
Ratio (NNDR), and Identical Match Share (IMS). Utility assessment includes
propensity score analysis, distribution comparisons, and various statistical
tests. Methods are based on Taub et al. (2018) <doi:10.1007/978-3-319-99771-1_9>
and related literature. Designed for integration with 'simPop' S4 classes.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
ggplot2, data.table, MASS, VIM, randomForest, ranger, reshape2, stats, graphics, utils |
| Suggests: |
simPop, synthpop, caretEnsemble, kernelshap, uwot, Rtsne, dbscan, vip, rpart, xgboost, partykit, testthat (≥ 3.0.0), torch, knitr, rmarkdown, plotly, misc3d, sdcMicro, caret, robustbase, gridExtra, Hmisc, robCompositions, clue |
| Published: |
2026-06-22 |
| DOI: |
10.32614/CRAN.package.riskutility |
| Author: |
Matthias Templ 
[aut, cre],
Oscar Thees [ctb] |
| Maintainer: |
Matthias Templ <matthias.templ at gmail.com> |
| BugReports: |
https://github.com/matthias-da/riskutility/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/matthias-da/riskutility |
| NeedsCompilation: |
no |
| Citation: |
riskutility citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
riskutility results |
Documentation:
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