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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | riskutility_0.1.0.tar.gz |
2.1 MiB |
0.1.0 |
rolling linux/noble R-4.5 | riskutility_0.1.0.tar.gz |
2.1 MiB |
0.1.0 |
rolling source/ R- | riskutility_0.1.0.tar.gz |
884.7 KiB |
0.1.0 |
latest linux/jammy R-4.5 | riskutility_0.1.0.tar.gz |
2.1 MiB |
0.1.0 |
latest linux/noble R-4.5 | riskutility_0.1.0.tar.gz |
2.1 MiB |
0.1.0 |
latest source/ R- | riskutility_0.1.0.tar.gz |
884.7 KiB |
0.1.0 |
2026-04-23 source/ R- | riskutility_0.1.0.tar.gz |
0 B |