nhppp: Simulating Nonhomogeneous Poisson Point Processes

Simulates events from one dimensional nonhomogeneous Poisson point processes (NHPPPs). 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: 0.1.3
Imports: lifecycle, rstream
Suggests: testthat, withr
Published: 2024-02-02
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-fast/issues
License: GPL (≥ 3)
URL: https://github.com/bladder-ca/nhppp-fast
NeedsCompilation: no
Language: es
Citation: nhppp citation info
Materials: README NEWS
CRAN checks: nhppp results

Documentation:

Reference manual: nhppp.pdf

Downloads:

Package source: nhppp_0.1.3.tar.gz
Windows binaries: r-prerel: nhppp_0.1.3.zip, r-release: nhppp_0.1.3.zip, r-oldrel: nhppp_0.1.3.zip
macOS binaries: r-prerel (arm64): nhppp_0.1.3.tgz, r-release (arm64): nhppp_0.1.3.tgz, r-oldrel (arm64): nhppp_0.1.3.tgz, r-prerel (x86_64): nhppp_0.1.3.tgz, r-release (x86_64): nhppp_0.1.3.tgz

Linking:

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