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riskutility  

Disclosure Risk and Data Utility Metrics for Synthetic and Anonymized Data
View on CRAN: Click here


Download and install riskutility package within the R console
Install from CRAN:
install.packages("riskutility")

Install from Github:
library("remotes")
install_github("cran/riskutility")

Install by package version:
library("remotes")
install_version("riskutility", "0.2.0")



Attach the package and use:
library("riskutility")
Maintained by
Matthias Templ
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-22
Latest Update: 2026-06-22
Description:
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.
How to cite:
Matthias Templ (2026). riskutility: Disclosure Risk and Data Utility Metrics for Synthetic and Anonymized Data. R package version 0.2.0, https://cran.r-project.org/web/packages/riskutility. Accessed 25 Oct. 2026.
Previous versions and publish date:
(2026-09-02 11:50), 0.1.0 (2026-06-22 17:40)
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