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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 |
| 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 |
| 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) |
| Package source: | DPrivStats_0.1.0.tar.gz |
| Windows binaries: | r-devel: DPrivStats_0.1.0.zip, r-release: DPrivStats_0.1.0.zip, r-oldrel: DPrivStats_0.1.0.zip |
| macOS binaries: | r-release (arm64): DPrivStats_0.1.0.tgz, r-oldrel (arm64): DPrivStats_0.1.0.tgz, r-release (x86_64): DPrivStats_0.1.0.tgz, r-oldrel (x86_64): DPrivStats_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=DPrivStats to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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