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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
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: tidydp_0.1.0.zip, r-release: not available, r-oldrel: tidydp_0.1.0.zip
macOS binaries: r-release (arm64): tidydp_0.1.0.tgz, r-oldrel (arm64): tidydp_0.1.0.tgz, r-release (x86_64): tidydp_0.1.0.tgz, r-oldrel (x86_64): tidydp_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tidydp 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.