Changes in version 1.0.1                        

  - Vignette: corrected the "Reproducibility" note, which incorrectly
    stated that multi-core permutation results "may differ between
    runs". Permutation inference is thread-invariant: because the RNG is
    re-seeded per observation from iseed and the observation index
    alone, the pseudo-p-values and z-scores are bit-for-bit identical
    for any n.cores and under any OpenMP schedule.

                 Changes in version 1.0.0 (2026-07-06)                  

  - First release.
  - Local Indicators of Spatial Association computed by a plain-C
    backend with optional OpenMP multi-threading and a xoshiro256++
    permutation RNG:
      - local_moran() -- univariate local Moran's I
      - local_moran_bv() -- bivariate local Moran's I
      - local_moran_eb() -- Empirical-Bayes-rate local Moran's I
      - local_geary() -- univariate local Geary's C
      - local_multigeary() -- multivariate local Geary's C
      - local_g() / local_gstar() -- Getis-Ord G and G*
  - Accepts any spdep listw weights object, including custom and
    non-contiguity (distance-decay) weights.
  - Returns compact statistic-specific matrices containing the observed
    statistic, permutation Z-score, and pseudo-p-value, with optional
    permutation-moment columns.
  - Folded pseudo-p-values are returned for Moran, G, and G* statistics;
    Geary statistics return tail-adaptive pseudo-p-values.
  - p.method selects the permutation pseudo-p-value rule: the standard
    "count" (default) counts permutations at least as extreme as the
    observed value, while "rank" uses spdep's ties-averaged rank. The
    two differ only under exact ties; both return a folded
    (smaller-tail) value.
  - Cluster codes follow rgeoda conventions, including an Isolated
    category for observations with no neighbours.
  - n.cores defaults to 1L; raise it to use multiple OpenMP threads.
  - The permutation RNG is re-seeded per observation, so for a fixed
    iseed the pseudo-p-values are identical for any n.cores (verified in
    tests/multicore-reproducible.R).