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).
- Version1.0.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Languagees
- nhppp citation info
- Last release10/23/2024
Documentation
Team
Thomas Trikalinos
Yuliia Sereda
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- Imports3 packages
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