Package: riskutility
Title: Disclosure Risk and Data Utility Metrics for Synthetic and
        Anonymized Data
Version: 0.1.0
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) <doi:10.1007/978-3-319-99771-1_9>
    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, vip, 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
RoxygenNote: 7.3.3
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-06-17 11:54:46 UTC; matthias
Author: Matthias Templ [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8638-5276>),
  Oscar Thees [ctb] (ORCID: <https://orcid.org/0009-0001-9378-4988>)
Maintainer: Matthias Templ <matthias.templ@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-22 15:40:09 UTC
Built: R 4.7.0; ; 2026-07-27 05:21:14 UTC; windows
