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cff-version: 1.2.0
message: 'To cite package "DPrivStats" in publications use:'
type: software
license: MIT
title: 'DPrivStats: Differentially Private Classical Statistical Inference'
version: 0.1.0
doi: 10.32614/CRAN.package.DPrivStats
abstract: 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.
authors:
- family-names: Bijalwan
  given-names: Mukul
  email: mukulbijalwan555@gmail.com
repository: https://mukulbijalwan.r-universe.dev
repository-code: https://github.com/MukulBijalwan/DPrivStats
commit: f63ca49c7acada21dc1f80e9469c243ed93b2c1b
url: https://github.com/MukulBijalwan/DPrivStats
date-released: '2026-09-09'
contact:
- family-names: Bijalwan
  given-names: Mukul
  email: mukulbijalwan555@gmail.com