Package: riskutility Title: Disclosure Risk and Data Utility Metrics for Synthetic and Anonymized Data Version: 0.2.0 Date: 2026-09-01 Authors@R: c( person("Matthias", "Templ", email = "matthias.templ@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8638-5276")), person("Oscar", "Thees", role = "ctb", comment = c(ORCID = "0009-0001-9378-4988")) ) 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) and related literature. Designed for integration with 'simPop' S4 classes. 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, rpart, xgboost, partykit, testthat (>= 3.0.0), torch, knitr, rmarkdown, plotly, misc3d, sdcMicro, caret, robustbase, gridExtra, Hmisc, robCompositions, clue License: GPL-3 URL: https://github.com/matthias-da/riskutility BugReports: https://github.com/matthias-da/riskutility/issues Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 VignetteBuilder: knitr Config/testthat/edition: 3 Config/pak/sysreqs: make libicu-dev Repository: https://matthias-da.r-universe.dev Date/Publication: 2026-09-01 11:34:46 UTC RemoteUrl: https://github.com/matthias-da/riskutility RemoteRef: HEAD RemoteSha: 9a7f1b38899a1c13d122f1db7c64a057fe6e5593 NeedsCompilation: no Packaged: 2026-10-01 12:42:05 UTC; root Author: Matthias Templ [aut, cre] (ORCID: ), Oscar Thees [ctb] (ORCID: ) Maintainer: Matthias Templ