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>).
Version: 1.0.2 Depends: R (≥ 2.10) Imports: lifecycle, rstream, Rcpp (≥ 1.0.12) LinkingTo: Rcpp Suggests: data.table, knitr, rlecuyer, rmarkdown, testthat, tictoc, truncnorm, withr Published: 2025-01-09 DOI: 10.32614/CRAN.package.nhppp Author: Thomas Trikalinos [aut, cre, cph], Yuliia Sereda [aut] Maintainer: Thomas Trikalinos <thomas_trikalinos at brown.edu> BugReports: https://github.com/bladder-ca/nhppp/issues License: GPL (≥ 3) URL: https://bladder-ca.github.io/nhppp/, https://github.com/bladder-ca/nhppp NeedsCompilation: yes Language: es Citation: nhppp citation info Materials: README NEWS CRAN checks: nhppp results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=nhppp to link to this page.
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