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DPrivStats  

Differentially Private Classical Statistical Inference
View on CRAN: Click here


Download and install DPrivStats package within the R console
Install from CRAN:
install.packages("DPrivStats")

Install from Github:
library("remotes")
install_github("cran/DPrivStats")

Install by package version:
library("remotes")
install_version("DPrivStats", "0.1.0")



Attach the package and use:
library("DPrivStats")
Maintained by
Mukul Bijalwan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-08
Latest Update: 2026-09-08
Description:
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.
How to cite:
Mukul Bijalwan (2026). DPrivStats: Differentially Private Classical Statistical Inference. R package version 0.1.0, https://cran.r-project.org/web/packages/DPrivStats. Accessed 03 Oct. 2026.
Previous versions and publish date:
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Complete documentation for DPrivStats
Functions, R codes and Examples using the DPrivStats R package
Full DPrivStats package functions and examples
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