tidydp: Tidy Differential Privacy

A tidy-style interface for applying differential privacy to data frames. Provides pipe-friendly functions to add calibrated noise, compute private statistics, and track privacy budgets using the epsilon-delta differential privacy framework. Implements the Laplace mechanism (Dwork et al. 2006 <doi:10.1007/11681878_14>) and the Gaussian mechanism for achieving differential privacy as described in Dwork and Roth (2014) <doi:10.1561/0400000042>.

Version: 0.1.0
Imports: magrittr, stats
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2025-11-27
DOI: 10.32614/CRAN.package.tidydp (may not be active yet)
Author: Thomas Tarler [aut, cre]
Maintainer: Thomas Tarler <ttarler at gmail.com>
BugReports: https://github.com/ttarler/tidydp/issues
License: MIT + file LICENSE
URL: https://github.com/ttarler/tidydp
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: tidydp results

Documentation:

Reference manual: tidydp.html , tidydp.pdf
Vignettes: Introduction to tidydp: Tidy Differential Privacy (source, R code)

Downloads:

Package source: tidydp_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: tidydp_0.1.0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): tidydp_0.1.0.tgz, r-oldrel (x86_64): tidydp_0.1.0.tgz

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