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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "tidydp" in publications use:'
type: software
license: MIT
title: 'tidydp: Tidy Differential Privacy'
version: 0.1.0
doi: 10.32614/CRAN.package.tidydp
abstract: 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 <https://doi.org/10.1007/11681878_14>)
  and the Gaussian mechanism for achieving differential privacy as described in Dwork
  and Roth (2014) <https://doi.org/10.1561/0400000042>.
authors:
- family-names: Tarler
  given-names: Thomas
  email: ttarler@gmail.com
repository: https://ttarler.r-universe.dev
repository-code: https://github.com/ttarler/tidydp
commit: 2c3bb0382797fb6c7eee68bbe8f72cfeaeaad307
url: https://github.com/ttarler/tidydp
date-released: '2025-11-23'
contact:
- family-names: Tarler
  given-names: Thomas
  email: ttarler@gmail.com