Changes in version 0.1.1                        

rmoriedata 0.1.1

New exported helpers — differential privacy + re-identification risk

Six small, base-R-only helpers for analysts releasing aggregate
statistics from the bundled fixtures (or any other dataset) without
re-identification risk:

  - morie_dp_laplace_count() — (epsilon, 0)-DP count via the Laplace
    mechanism (sensitivity 1).
  - morie_dp_gaussian_mean() — approximate (epsilon, delta)-DP mean of a
    bounded numeric vector via the analytic Gaussian mechanism.
  - morie_dp_laplace_histogram() — per-bin Laplace noise on a histogram.
  - morie_k_anonymity_verify() — checks k-anonymity over a set of
    quasi-identifiers and returns the offending equivalence classes.
  - morie_l_diversity_verify() — per-class distinct-count check on a
    sensitive attribute.
  - morie_cell_suppress() — small-cell suppression with optional
    complementary suppression so primary-suppressed cells can't be
    reconstructed from row/column marginals (StatCan-style).

All helpers use only base R + the existing stats import; no new runtime
dependencies. Inputs are validated and edge cases (empty vectors, NAs,
out-of-bounds inputs, invalid privacy parameters) throw informative
errors.

Tests

  - tests/testthat/test-dp.R — Monte-Carlo convergence +
    variance-scaling sanity tests for the DP mechanisms;
    input-validation coverage.
  - tests/testthat/test-k-anonymity.R — hand-built fixtures with known
    equivalence-class structure; complementary-suppression correctness.

rmoriedata 0.1.0

  - Initial public release. Bundled fixtures only; no exported
    functions.