fastLISA 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.

fastLISA 1.0.0

• 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).