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  "Date": "2024-06-27",
  "Title": "Space-Time Point Pattern Simulation, Visualisation and Analysis",
  "Authors@R": "c(person(\"Edith\", \"Gabriel\", role=c(\"aut\",\"cre\"), email=\"edith.gabriel@inrae.fr\"),\nperson(\"Peter J\", \"Diggle\", role=\"aut\", email=\"p.diggle@lancaster.ac.uk\"),\nperson(\"Barry\", \"Rowlingson\",role=\"aut\", email=\"b.rowlingson@lancaster.ac.uk\"),\nperson(\"Francisco J\", \"Rodriguez-Cortes\", role=\"aut\", email=\"frrodriguezc@unal.edu.co\"))",
  "Maintainer": "Edith Gabriel <edith.gabriel@inrae.fr>",
  "Description": "Many of the models encountered in applications of point\nprocess methods to the study of spatio-temporal phenomena are\ncovered in 'stpp'. This package provides statistical tools for\nanalyzing the global and local second-order properties of\nspatio-temporal point processes, including estimators of the\nspace-time inhomogeneous K-function and pair correlation\nfunction. It also includes tools to get static and dynamic\ndisplay of spatio-temporal point patterns. See Gabriel et al\n(2013) <doi:10.18637/jss.v053.i02>.",
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      "fileid": "https://r2.ropensci.org/56e38118444f2830d52861dd4ce1645627a76dd5d9aaacbe90b068150b441036",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/37774324321"
    }
  ]
}