The nhppp package for simulating non-homogeneous Poisson point processes in R

We introduce the nhppp package for simulating events from one dimensional non-homogeneous Poisson point processes (NHPPPs) in R fast and with a small memory footprint. We developed it to facilitate the sampling of event times in discrete event and statistical simulations. The package's 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; 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. We present a study of numerical accuracy and time performance of the algorithms. We illustrate use with simple reproducible examples.

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Publication Details

Journal
PLoS ONE
Published
2024-11-21
DOI
https://doi.org/10.1371/journal.pone.0311311
Citations
5
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
2.19

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article

The nhppp package for simulating non-homogeneous Poisson point processes in R

Yuliia Sereda, Thomas A Trikalinos
5 citations
PLoS ONE
Traffic and Road Safety
2.19
article

The nhppp package for simulating non-homogeneous Poisson point processes in R

Yuliia Sereda, Thomas A Trikalinos
article en
5 citations

Abstract

We introduce the nhppp package for simulating events from one dimensional non-homogeneous Poisson point processes (NHPPPs) in R fast and with a small memory footprint. We developed it to facilitate the sampling of event times in discrete event and statistical simulations. The package's 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; 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. We present a study of numerical accuracy and time performance of the algorithms. We illustrate use with simple reproducible examples.

PLoS ONEVol. 19(11)
Brown University (US)
Division of Cancer Prevention, National Cancer Institute, National Cancer Institute
Openalex Percentile: Top 13%
Traffic and Road Safety
2.19
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The nhppp package for simulating non-homogeneous Poisson point processes in R — Yuliia Sereda, Thomas A Trikalinos · PLoS ONE (2024) | TGRS Research Map | TGRS