Package: nhppp Title: Simulating Nonhomogeneous Poisson Point Processes Version: 1.0.5 Authors@R: c(person(given = "Thomas", family = "Trikalinos", email = "thomas_trikalinos@brown.edu", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-3990-1848")), person(given = "Yuliia", family = "Sereda", email = "sereda_yuliia@brown.edu", role = c("aut"), comment = c(ORCID = "0000-0002-4017-4561")) ) Description: Simulates events from one dimensional nonhomogeneous Poisson point processes (NHPPPs) as per Trikalinos and Sereda (2024, and 2024, ). 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) ). License: GPL (>= 3) Imports: lifecycle, rstream, Rcpp (>= 1.0.12) LinkingTo: Rcpp Encoding: UTF-8 Language: en Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 Suggests: data.table, ggplot2, knitr, rlecuyer, rmarkdown, testthat, tictoc, truncnorm, withr, Config/Needs/website: rmarkdown URL: https://bladder-ca.github.io/nhppp/, https://github.com/bladder-ca/nhppp BugReports: https://github.com/bladder-ca/nhppp/issues VignetteBuilder: knitr Depends: R (>= 2.10) LazyData: true Repository: https://bladder-ca.r-universe.dev Date/Publication: 2026-04-21 23:03:01 UTC RemoteUrl: https://github.com/bladder-ca/nhppp RemoteRef: HEAD RemoteSha: 084c6ee75e53666d46030ca53640fc70819d5beb NeedsCompilation: yes Packaged: 2026-06-20 06:51:50 UTC; root Author: Thomas Trikalinos [aut, cre, cph] (ORCID: ), Yuliia Sereda [aut] (ORCID: ) Maintainer: Thomas Trikalinos