Disclosure Risk and Data Utility Metrics for Synthetic and Anonymized Data R package riskutility version 0.1.0 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. Software 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 Matthias Templ <matthias.templ@gmail.com> Comprehensive R Archive Network (CRAN) Matthias Templ [aut, cre] (ORCID: <https://orcid.org/0000-0002-8638-5276>), Oscar Thees [ctb] (ORCID: <https://orcid.org/0009-0001-9378-4988>) GPL-3 2026-06-22 application/tgz https://CRAN.R-project.org/package=riskutility doi:10.32614/CRAN.package.riskutility