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-4.4-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'))

Peer review:

On CRAN:

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 121 downloads 1 mentions 6 exports 0 dependencies

Last updated 5 years agofrom:594b123300. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 17 2024
R-4.5-winOKOct 17 2024
R-4.5-linuxOKOct 17 2024
R-4.4-winOKOct 17 2024
R-4.4-macOKOct 17 2024
R-4.3-winOKOct 17 2024
R-4.3-macOKOct 17 2024

Exports:IPPPcondIPPPconddensIPPPcondrandnumIPPPintervalIPPPnthpointdensIPPPuncond

Dependencies:

IPPP

Rendered fromIPPP.Rmdusingknitr::rmarkdownon Oct 17 2024.

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