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  "Title": "Spatio-Temporal Point Pattern Methods, Model Fitting,\nDiagnostics, Simulation, Local Tests",
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  "Date": "2025-08-07",
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  "Authors@R": "c(person(given = \"Nicoletta\", family = \"D'Angelo\", email = \"nicoletta.dangelo@unipa.it\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-8878-5986\")),\nperson(given = \"Giada\", family = \"Adelfio\", role = \"aut\", comment = c(ORCID = \"0000-0002-3194-4296\")))",
  "Description": "Toolbox for different kinds of spatio-temporal analyses to\nbe performed on observed point patterns, following the growing\nstream of literature on point process theory. This R package\nimplements functions to perform different kinds of analyses on\npoint processes, proposed in the papers (Siino, Adelfio, and\nMateu 2018<doi:10.1007/s00477-018-1579-0>; Siino et al.\n2018<doi:10.1002/env.2463>; Adelfio et al.\n2020<doi:10.1007/s00477-019-01748-1>; D’Angelo, Adelfio, and\nMateu 2021<doi:10.1016/j.spasta.2021.100534>; D’Angelo,\nAdelfio, and Mateu 2022<doi:10.1007/s00362-022-01338-4>;\nD’Angelo, Adelfio, and Mateu\n2023<doi:10.1016/j.csda.2022.107679>). The main topics include\nmodeling, statistical inference, and simulation issues on\nspatio-temporal point processes on Euclidean space and linear\nnetworks. Version 1.0.0 has been updated for accompanying the\njournal publication D Angelo and Adelfio 2025\n<doi:10.18637/jss.v113.i10>.",
  "License": "GPL (>= 2)",
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  "Author": "Nicoletta D'Angelo [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-8878-5986>), Giada Adelfio [aut]\n(ORCID: <https://orcid.org/0000-0002-3194-4296>)",
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      "page": "summary.stppm",
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