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fdp: f-Differential Privacy and Gaussian Differential Privacy

Constructs and visualises trade-off functions for f-differential privacy (f-DP) as introduced by Dong et al. (2022) <doi:10.1111/rssb.12454>. Supports Gaussian differential privacy, the f-DP generalisation of (epsilon, delta)-differential privacy, and accepts user-specified optimal type I / type II errors from which the lower convex hull trade-off function is automatically constructed.

Version: 1.0.0
Depends: R (≥ 4.1.0)
Imports: cli, ggplot2, rlang
Published: 2025-11-04
DOI: 10.32614/CRAN.package.fdp
Author: Louis Aslett ORCID iD [aut, cre, cph]
Maintainer: Louis Aslett <louis.aslett at durham.ac.uk>
BugReports: https://github.com/louisaslett/fdp/issues
License: GPL (≥ 3)
URL: https://fdp.louisaslett.com/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: fdp results

Documentation:

Reference manual: fdp.html , fdp.pdf

Downloads:

Package source: fdp_1.0.0.tar.gz
Windows binaries: r-devel: fdp_1.0.0.zip, r-release: fdp_1.0.0.zip, r-oldrel: fdp_1.0.0.zip
macOS binaries: r-release (arm64): fdp_1.0.0.tgz, r-oldrel (arm64): fdp_1.0.0.tgz, r-release (x86_64): fdp_1.0.0.tgz, r-oldrel (x86_64): fdp_1.0.0.tgz

Linking:

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