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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 + fileLICENSE
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:tidydp_0.1.0.zip, 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 formhttps://CRAN.R-project.org/package=tidydpto link to this page.


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