The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

riskutility: Disclosure Risk and Data Utility Metrics for Synthetic and Anonymized Data

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.

Version: 0.1.0
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
Published: 2026-06-22
DOI: 10.32614/CRAN.package.riskutility
Author: Matthias Templ ORCID iD [aut, cre], Oscar Thees ORCID iD [ctb]
Maintainer: Matthias Templ <matthias.templ at gmail.com>
BugReports: https://github.com/matthias-da/riskutility/issues
License: GPL-3
URL: https://github.com/matthias-da/riskutility
NeedsCompilation: no
Citation: riskutility citation info
Materials: README, NEWS
CRAN checks: riskutility results

Documentation:

Reference manual: riskutility.html , riskutility.pdf
Vignettes: riskutility: Comprehensive Disclosure Risk and Data Utility Assessment for Anonymized and Synthetic Data in R (source, R code)

Downloads:

Package source: riskutility_0.1.0.tar.gz
Windows binaries: r-devel: riskutility_0.1.0.zip, r-release: riskutility_0.1.0.zip, r-oldrel: riskutility_0.1.0.zip
macOS binaries: r-release (arm64): riskutility_0.1.0.tgz, r-oldrel (arm64): riskutility_0.1.0.tgz, r-release (x86_64): riskutility_0.1.0.tgz, r-oldrel (x86_64): riskutility_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=riskutility to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.