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tidydp  

Tidy Differential Privacy
View on CRAN: Click here


Download and install tidydp package within the R console
Install from CRAN:
install.packages("tidydp")

Install from Github:
library("remotes")
install_github("cran/tidydp")

Install by package version:
library("remotes")
install_version("tidydp", "0.1.0")



Attach the package and use:
library("tidydp")
Maintained by
Thomas Tarler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-27
Latest Update: 2025-11-27
Description:
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>.
How to cite:
Thomas Tarler (2025). tidydp: Tidy Differential Privacy. R package version 0.1.0, https://cran.r-project.org/web/packages/tidydp. Accessed 21 Aug. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for tidydp
Functions, R codes and Examples using the tidydp R package
Full tidydp package functions and examples
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