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.

Version:	0.1.0
Depends:	R (≥ 4.0.0)
Imports:	stats, MASS, Rcpp
LinkingTo:	Rcpp
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown, ggplot2
Published:	2026-09-08
DOI:	10.32614/CRAN.package.DPrivStats (may not be active yet)
Author:	Mukul Bijalwan [aut, cre]
Maintainer:	Mukul Bijalwan <mukulbijalwan555 at gmail.com>
BugReports:	https://github.com/MukulBijalwan/DPrivStats/issues
License:	MIT + file LICENSE
URL:	https://github.com/MukulBijalwan/DPrivStats
NeedsCompilation:	yes
Materials:	README, NEWS
CRAN checks:	DPrivStats results

Documentation:

Reference manual:	DPrivStats.html , DPrivStats.pdf
Vignettes:	Getting Started with DPrivStats (source, R code) Official Statistics Workflow (source, R code) Regression Guide (source, R code)

Downloads:

Package source:	DPrivStats_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: DPrivStats_0.1.0.zip, r-oldrel: DPrivStats_0.1.0.zip
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): DPrivStats_0.1.0.tgz, r-oldrel (x86_64): DPrivStats_0.1.0.tgz

Linking:

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