Introduction | Rate Functions | Features | No Additional Information Available: Determine Location and Number of Points | Number of Points Known: Determine Their Location and Densities | One Location Known: Determine Location and Densities of Points Above/Below | Examples | References
Package: IPPP 1.1
Niklas Hohmann
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:
IPPP_1.1.tar.gz
IPPP_1.1.zip(r-4.7-any)IPPP_1.1.zip(r-4.6-any)IPPP_1.1.zip(r-4.5-any)
IPPP_1.1.tgz(r-4.6-any)IPPP_1.1.tgz(r-4.5-any)
IPPP_1.1.tar.gz(r-4.7-any)IPPP_1.1.tar.gz(r-4.6-any)
IPPP_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
IPPP/json (API)
| # Install 'IPPP' in R: |
| install.packages('IPPP', repos = c('https://niklashohmann.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:594b123300. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 98 | ||
| source / vignettes | OK | 153 | ||
| linux-release | OK | 93 | ||
| macos-release | OK | 102 | ||
| macos-oldrel | OK | 86 | ||
| windows-devel | OK | 74 | ||
| windows-release | OK | 62 | ||
| windows-oldrel | OK | 61 | ||
| wasm-release | OK | 69 |
Exports:IPPPcondIPPPconddensIPPPcondrandnumIPPPintervalIPPPnthpointdensIPPPuncond
Dependencies:
