Differentially Private Classical Statistical Inference R package DPrivStats version 0.1.0 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. Software Depends: R (>= 4.0.0) Imports: stats, MASS, Rcpp LinkingTo: Rcpp Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2 Mukul Bijalwan <mukulbijalwan555@gmail.com> Comprehensive R Archive Network (CRAN) Mukul Bijalwan [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=DPrivStats/LICENSE) 2026-09-08 application/tgz https://CRAN.R-project.org/package=DPrivStats doi:10.32614/CRAN.package.DPrivStats