Changes in version 0.1.0 (2026-09-08)                  

  - Initial CRAN submission.
  - Privacy mechanisms: Laplace (pure ε-DP), Gaussian (classic
    calibration), analytic Gaussian calibration (Balle & Wang, 2018),
    exponential mechanism.
  - DP descriptive statistics: mean, variance, quantiles, median,
    histogram.
  - DP hypothesis tests: two-sample t-test, chi-square test of
    independence, Kolmogorov–Smirnov test, one-way ANOVA.
  - Regression: closed-form DP linear regression (dp_lm) and DP-SGD for
    GLMs (dp_glm).
  - Privacy-aware confidence intervals: analytical, parametric
    bootstrap, and privacy-aware bootstrap.
  - Privacy budget tracker with basic, advanced, and Rényi/zCDP
    composition.
  - Diagnostics: coverage validation, utility comparison, composition
    comparison.