# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "fastLISA" in publications use:'
type: software
license: GPL-3.0-only
title: 'fastLISA: Fast Local Indicators of Spatial Association (LISA)'
version: 1.0.1
doi: 10.32614/CRAN.package.fastLISA
abstract: 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.
authors:
- family-names: Chen
  given-names: Lizhong
  email: chen.l@wehi.edu.au
repository: https://lizhongc.r-universe.dev
repository-code: https://github.com/lizhongc/fastLISA
commit: ce3123eb9b64a99939682cec99d01bdd3b6f93ed
url: https://github.com/lizhongc/fastLISA
date-released: '2026-07-07'
contact:
- family-names: Chen
  given-names: Lizhong
  email: chen.l@wehi.edu.au