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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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 tidydp_0.1.0.tar.gz 67.7 KiB
0.1.0 rolling linux/noble R-4.5 tidydp_0.1.0.tar.gz 67.7 KiB
0.1.0 rolling source/ R- tidydp_0.1.0.tar.gz 30.4 KiB
0.1.0 latest linux/jammy R-4.5 tidydp_0.1.0.tar.gz 67.7 KiB
0.1.0 latest linux/noble R-4.5 tidydp_0.1.0.tar.gz 67.7 KiB
0.1.0 latest source/ R- tidydp_0.1.0.tar.gz 30.4 KiB
0.1.0 2026-04-26 source/ R- tidydp_0.1.0.tar.gz 30.4 KiB
0.1.0 2026-04-23 source/ R- tidydp_0.1.0.tar.gz 30.4 KiB
0.1.0 2026-04-09 windows/windows R-4.5 tidydp_0.1.0.zip 72.3 KiB

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