Simulating Nonhomogeneous Poisson Point Processes R package nhppp version 1.0.5 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>). Software Depends: R (>= 2.10) Imports: lifecycle, rstream, Rcpp (>= 1.0.12) LinkingTo: Rcpp Suggests: data.table, ggplot2, knitr, rlecuyer, rmarkdown, testthat, tictoc, truncnorm, withr, Thomas Trikalinos <thomas_trikalinos@brown.edu> Comprehensive R Archive Network (CRAN) Thomas Trikalinos [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-3990-1848>), Yuliia Sereda [aut] (ORCID: <https://orcid.org/0000-0002-4017-4561>) GPL (>= 3) 2026-04-21 application/tgz https://CRAN.R-project.org/package=nhppp doi:10.32614/CRAN.package.nhppp en