# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "riskutility" in publications use:' type: software license: GPL-3.0-only title: 'riskutility: Disclosure Risk and Data Utility Metrics for Synthetic and Anonymized Data' version: 0.1.0 identifiers: - type: doi value: 10.32614/CRAN.package.riskutility abstract: 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) and related literature. Designed for integration with 'simPop' S4 classes. authors: - family-names: Templ given-names: Matthias email: matthias.templ@gmail.com orcid: https://orcid.org/0000-0002-8638-5276 preferred-citation: type: manual title: 'riskutility: Disclosure Risk and Data Utility Metrics for Synthetic and Anonymized Data' authors: - family-names: Templ given-names: Matthias email: matthias.templ@gmail.com orcid: https://orcid.org/0000-0002-8638-5276 year: '2025' notes: R package version 0.1.0 url: https://github.com/matthias-da/riskutility repository: https://matthias-da.r-universe.dev repository-code: https://github.com/matthias-da/riskutility commit: 415ed54eccd29710bbfd9873f78065a6ef3d88c4 url: https://github.com/matthias-da/riskutility date-released: '2026-06-23' contact: - family-names: Templ given-names: Matthias email: matthias.templ@gmail.com orcid: https://orcid.org/0000-0002-8638-5276 references: - type: article title: Measuring disclosure risk and data utility for privacy-preserving data synthesis authors: - family-names: Templ given-names: Matthias orcid: https://orcid.org/0000-0002-8638-5276 journal: Journal of Statistical Software year: '2025' notes: Submitted