fastLISA
Fast Local Indicators of Spatial Association (LISA)
Computes various Local Indicators of Spatial Association (LISA) statistics, including univariate and bivariate local Moran's I, Empirical Bayes local Moran's I, univariate and multivariate local Geary's C, and Getis-Ord G and G* statistics. The methods follow Anselin (1995), Getis and Ord (1992), and Anselin (2019). Leverages a high-performance, plain-C backend with optional OpenMP multi-core support for fast permutation-based pseudo-p-value calculation. Accepts any 'spdep' listw spatial weight matrix, including custom and non-contiguity weights. Uses sample standardisation (n-1) and 'rgeoda'-style permutation p-values. Output cluster codes match 'rgeoda' conventions, including the Isolated category for observations without neighbours.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | fastLISA_1.0.0.tar.gz |
218.5 KiB |
1.0.0 |
rolling linux/noble R-4.5 | fastLISA_1.0.0.tar.gz |
219.2 KiB |
1.0.0 |
rolling source/ R- | fastLISA_1.0.0.tar.gz |
147.2 KiB |
1.0.0 |
latest linux/jammy R-4.5 | fastLISA_1.0.0.tar.gz |
218.5 KiB |
1.0.0 |
latest linux/noble R-4.5 | fastLISA_1.0.0.tar.gz |
219.2 KiB |
1.0.0 |
latest source/ R- | fastLISA_1.0.0.tar.gz |
147.2 KiB |
1.0.0 |
2026-04-23 source/ R- | fastLISA_1.0.0.tar.gz |
0 B |