Package: IPPP 1.1

IPPP: Inhomogeneous Poisson Point Processes

Generates random numbers corresponding to the events on a Poisson point process with changing event rates. This includes the possibility to incorporate additional information such as the number of events occurring or the location of an already known event. It can also generate the probability density functions of specific events in the cases where additional information is available. Based on Hohmann (2019) <arxiv:1901.10754>.

Authors:Niklas Hohmann

IPPP_1.1.tar.gz
IPPP_1.1.zip(r-4.5)IPPP_1.1.zip(r-4.4)IPPP_1.1.zip(r-4.3)
IPPP_1.1.tgz(r-4.5-any)IPPP_1.1.tgz(r-4.4-any)IPPP_1.1.tgz(r-4.3-any)
IPPP_1.1.tar.gz(r-4.5-noble)IPPP_1.1.tar.gz(r-4.4-noble)
IPPP_1.1.tgz(r-4.4-emscripten)IPPP_1.1.tgz(r-4.3-emscripten)
IPPP.pdf |IPPP.html
IPPP/json (API)

# Install 'IPPP' in R:
install.packages('IPPP', repos = c('https://niklashohmann.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 6 scripts 136 downloads 1 mentions 6 exports 0 dependencies

Last updated 6 years agofrom:594b123300. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 28 2025
R-4.5-winOKMar 28 2025
R-4.5-macOKMar 28 2025
R-4.5-linuxOKMar 28 2025
R-4.4-winOKMar 28 2025
R-4.4-macOKMar 28 2025
R-4.4-linuxOKMar 28 2025
R-4.3-winOKMar 28 2025
R-4.3-macOKMar 28 2025

Exports:IPPPcondIPPPconddensIPPPcondrandnumIPPPintervalIPPPnthpointdensIPPPuncond

Dependencies:

IPPP

Rendered fromIPPP.Rmdusingknitr::rmarkdownon Mar 28 2025.

Last update: 2019-05-21
Started: 2019-05-21