DPrivStats
Differentially Private Classical Statistical Inference
Implements differentially private (DP) versions of common classical statistical procedures, including descriptive statistics (mean, variance, quantiles, histograms), hypothesis tests (t-test, chi-square, Kolmogorov-Smirnov, one-way ANOVA), and regression (closed-form DP linear regression and DP-SGD for generalized linear models). Provides Laplace and Gaussian mechanisms with analytic calibration, exponential mechanism for medians, privacy-aware confidence intervals that account for both sampling and privacy noise, and privacy budget accounting via basic, advanced, and Renyi differential privacy (RDP) composition. Designed for official statistics and privacy-preserving data analysis research.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | DPrivStats_0.1.0.tar.gz |
241.7 KiB |
0.1.0 |
rolling linux/noble R-4.5 | DPrivStats_0.1.0.tar.gz |
242.2 KiB |
0.1.0 |
rolling source/ R- | DPrivStats_0.1.0.tar.gz |
78.0 KiB |
0.1.0 |
latest linux/jammy R-4.5 | DPrivStats_0.1.0.tar.gz |
241.7 KiB |
0.1.0 |
latest linux/noble R-4.5 | DPrivStats_0.1.0.tar.gz |
242.2 KiB |
0.1.0 |
latest source/ R- | DPrivStats_0.1.0.tar.gz |
78.0 KiB |
0.1.0 |
2026-04-23 source/ R- | DPrivStats_0.1.0.tar.gz |
0 B |