| IPPP-package {IPPP} | R Documentation |
Inhomogeneous Poisson Point Processes
Description
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>.
Details
The DESCRIPTION file:
| Package: | IPPP |
| Type: | Package |
| Title: | Inhomogeneous Poisson Point Processes |
| Version: | 1.1 |
| Date: | 2019-05-21 |
| Author: | Niklas Hohmann |
| Maintainer: | Niklas Hohmann <Niklas.Hohmann@fau.de> |
| Description: | 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>. |
| License: | CC BY 4.0 |
| Depends: | stats |
| Suggests: | knitr, rmarkdown |
| VignetteBuilder: | knitr |
Index of help topics:
IPPP-package Inhomogeneous Poisson Point Processes
IPPPcond Simulate Location of Events for a Fixed Number
of Events
IPPPconddens Conditional Probability Density Given the
Location of one Event
IPPPcondrandnum Generate Events Relative to a Known Event of an
Inhomogeneous Poisson Point Process
IPPPinterval Simulate the Number of Events in an Interval
IPPPnthpointdens Probability Density of Events in an
Inhomogeneous Poisson Point Process
IPPPuncond Simulate Events according to an Inhomogeneous
Poisson Point Process
For the vignette, use vignette("IPPP")
Author(s)
Niklas Hohmann
Maintainer: Niklas Hohmann <Niklas.Hohmann@fau.de>
References
Hohmann, Niklas. "Conditional Densities and Simulations of Inhomogeneous Poisson Point Processes: The R package "IPPP"" arXiv 2019. <arXiv:1901.10754>
[Package IPPP version 1.1 Index]