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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: | 0.1.4 |
Imports: | lifecycle, rstream, Rcpp (≥ 1.0.12) |
LinkingTo: | Rcpp |
Suggests: | data.table, rlecuyer, testthat, withr |
Published: | 2024-05-28 |
DOI: | 10.32614/CRAN.package.nhppp |
Author: | Thomas Trikalinos |
Maintainer: | Thomas Trikalinos <thomas_trikalinos at brown.edu> |
BugReports: | https://github.com/bladder-ca/nhppp/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/bladder-ca/nhppp |
NeedsCompilation: | yes |
Language: | es |
Citation: | nhppp citation info |
Materials: | README NEWS |
CRAN checks: | nhppp results |
Reference manual: | nhppp.pdf |
Package source: | nhppp_0.1.4.tar.gz |
Windows binaries: | r-devel: nhppp_0.1.4.zip, r-release: nhppp_0.1.4.zip, r-oldrel: nhppp_0.1.4.zip |
macOS binaries: | r-release (arm64): nhppp_0.1.4.tgz, r-oldrel (arm64): nhppp_0.1.4.tgz, r-release (x86_64): nhppp_0.1.4.tgz, r-oldrel (x86_64): nhppp_0.1.4.tgz |
Old sources: | nhppp archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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