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cff-version: 1.2.0
message: 'To cite package "SepTest" in publications use:'
type: software
license: GPL-3.0-only
title: 'SepTest: Tests for First-Order Separability in Spatio-Temporal Point Processes'
version: 0.0.1
doi: 10.32614/CRAN.package.SepTest
abstract: Provides statistical tools for testing first-order separability in spatio-temporal
  point processes, that is, whether the spatio-temporal intensity function can be
  expressed as a product of spatial and temporal components. The package implements
  several hypothesis tests, including exact and asymptotic methods for Poisson and
  non-Poisson processes. Methods include global envelope tests, chi-squared-type statistics,
  and a novel Hilbert-Schmidt independence criterion (HSIC) test with block or pure
  permutations. Simulation studies and real-world examples, including the 2001 UK
  foot-and-mouth disease outbreak data, illustrate its utility. The package encompasses
  all simulation studies and applications presented in Ghorbani et al. (2021, 2025).
authors:
- family-names: Ghorbani
  given-names: Mohammad
  email: mohammad.ghorbani@slu.se
- family-names: Vafaei
  given-names: Nafiseh
repository: https://mghorbani01.r-universe.dev
repository-code: https://github.com/mghorbani01/SepTest
commit: 5f2b4a79ec086ec0fe68e97547a54d30c0756d8e
url: https://github.com/mghorbani01/SepTest
date-released: '2025-10-25'
contact:
- family-names: Ghorbani
  given-names: Mohammad
  email: mohammad.ghorbani@slu.se