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nhppp: Simulating Nonhomogeneous Poisson Point Processes
Simulates events from one dimensional nonhomogeneous Poisson point processes (NHPPPs) as per Trikalinos and Sereda (2024, <doi:10.48550/arXiv.2402.00358>). Functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function (Cinlar E, "Theory of stochastic processes" (1975, ISBN:0486497996)); the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme (Lewis PAW, Shedler, GS (1979) <doi:10.1002/nav.3800260304>).
Getting started
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Package details |
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| Author | Thomas Trikalinos [aut, cre, cph] (<https://orcid.org/0000-0002-3990-1848>), Yuliia Sereda [aut] (<https://orcid.org/0000-0002-4017-4561>) |
| Maintainer | Thomas Trikalinos <thomas_trikalinos@brown.edu> |
| License | GPL (>= 3) |
| Version | 1.0.0 |
| URL | https://bladder-ca.github.io/nhppp/ https://github.com/bladder-ca/nhppp |
| Package repository | View on CRAN |
| Installation |
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