{ "_id": "6a214dedcd65a98ecbd2ccfe", "Package": "SepTest", "Title": "Tests for First-Order Separability in Spatio-Temporal Point\nProcesses", "Version": "0.0.1", "Date": "2025-10-25", "Author": "Mohammad Ghorbani [author, creator], Nafiseh Vafaei [author]", "Maintainer": "Mohammad Ghorbani ", "Description": "Provides statistical tools for testing first-order\nseparability in spatio-temporal point processes, that is,\nwhether the spatio-temporal intensity function can be expressed\nas a product of spatial and temporal components. The package\nimplements several hypothesis tests, including exact and\nasymptotic methods for Poisson and non-Poisson processes.\nMethods include global envelope tests, chi-squared-type\nstatistics, and a novel Hilbert-Schmidt independence criterion\n(HSIC) test with block or pure permutations. Simulation studies\nand real-world examples, including the 2001 UK foot-and-mouth\ndisease outbreak data, illustrate its utility. 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