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nhppp

Simulating Nonhomogeneous Poisson Point Processes

v1.0.2 · Jan 9, 2025 · GPL (>= 3)

Description

Simulates events from one dimensional nonhomogeneous Poisson point processes (NHPPPs) as per Trikalinos and Sereda (2024, <doi:10.48550/arXiv.2402.00358> and 2024, <doi:10.1371/journal.pone.0311311>). 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>).

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r-devel-linux-x86_64-debian-clang OK
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r-devel-windows-x86_64 OK
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r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
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r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies lifecycle rstream Rcpp nhppp

Version History

new 1.0.2 Mar 10, 2026
updated 1.0.2 ← 1.0.0 diff Jan 8, 2025
updated 1.0.0 ← 0.1.4 diff Oct 22, 2024
updated 0.1.4 ← 0.1.3 diff May 28, 2024
new 0.1.3 Feb 1, 2024