nhppp: Simulating Nonhomogeneous Poisson Point Processes

Simulates events from one dimensional nonhomogeneous Poisson point processes (NHPPPs) as per Trikalinos and Sereda (2024, <doi:10.48550/arXiv.2402.00358>). 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: 1.0.0
Depends: R (≥ 2.10)
Imports: lifecycle, rstream, Rcpp (≥ 1.0.12)
LinkingTo: Rcpp
Suggests: data.table, knitr, rlecuyer, rmarkdown, testthat, tictoc, truncnorm, withr
Published: 2024-10-23
DOI: 10.32614/CRAN.package.nhppp
Author: Thomas Trikalinos ORCID iD [aut, cre, cph], Yuliia Sereda ORCID iD [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:

Reference manual: nhppp.pdf
Vignettes: Sampling log-linear times (source, R code)
A simple discrete event simulation model of a cancer's natural history (source, R code)

Downloads:

Package source: nhppp_1.0.0.tar.gz
Windows binaries: r-devel: nhppp_1.0.0.zip, r-release: nhppp_1.0.0.zip, r-oldrel: nhppp_1.0.0.zip
macOS binaries: r-release (arm64): nhppp_1.0.0.tgz, r-oldrel (arm64): nhppp_1.0.0.tgz, r-release (x86_64): nhppp_1.0.0.tgz, r-oldrel (x86_64): nhppp_1.0.0.tgz
Old sources: nhppp archive

Linking:

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