{ "_id": "6a0f64fdacfb0bcc41c5cf76", "Package": "nhppp", "Title": "Simulating Nonhomogeneous Poisson Point Processes", "Version": "1.0.5", "Authors@R": "c(person(given = \"Thomas\",\nfamily = \"Trikalinos\",\nemail = \"thomas_trikalinos@brown.edu\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-3990-1848\")),\nperson(given = \"Yuliia\",\nfamily = \"Sereda\",\nemail = \"sereda_yuliia@brown.edu\",\nrole = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-4017-4561\"))\n)", "Description": "Simulates events from one dimensional nonhomogeneous\nPoisson point processes (NHPPPs) as per Trikalinos and Sereda\n(2024, and 2024,\n). Functions are based on\nthree algorithms that provably sample from a target NHPPP: the\ntime-transformation of a homogeneous Poisson process (of\nintensity one) via the inverse of the integrated intensity\nfunction (Cinlar E, \"Theory of stochastic processes\" (1975,\nISBN:0486497996)); the generation of a Poisson number of order\nstatistics from a fixed density function; and the thinning of a\nmajorizing NHPPP via an acceptance-rejection scheme (Lewis PAW,\nShedler, GS (1979) ).", "License": "GPL (>= 3)", "Encoding": "UTF-8", "Language": "en", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "Config/Needs/website": "rmarkdown", "URL": "https://bladder-ca.github.io/nhppp/,\nhttps://github.com/bladder-ca/nhppp", "BugReports": "https://github.com/bladder-ca/nhppp/issues", "VignetteBuilder": "knitr", "LazyData": "true", "Repository": "https://bladder-ca.r-universe.dev", "Date/Publication": "2026-04-21 23:03:01 UTC", "RemoteUrl": "https://github.com/bladder-ca/nhppp", 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