binspp-package {binspp} | R Documentation |
binspp: Bayesian Inference for Neyman-Scott Point Processes
Description
The Bayesian MCMC estimation of parameters for Thomas-type cluster point process with various inhomogeneities. It allows for inhomogeneity in (i) distribution of parent points, (ii) mean number of points in a cluster, (iii) cluster spread. The package also allows for the Bayesian MCMC algorithm for the homogeneous generalized Thomas process. The cluster size is allowed to have a variance that is greater or less than the expected value (cluster sizes are over or under dispersed). Details are described in Dvořák, Remeš, Beránek & Mrkvička (2022) <arXiv: 10.48550/arXiv.2205.07946>.
Author(s)
Maintainer: Remes Radim inrem@jcu.cz
Authors:
Mrkvicka Tomas mrkvicka.toma@gmail.com
Dvorak Jiri dvorak@karlin.mff.cuni.cz
Beranek Ladislav beranek@jcu.cz
Other contributors:
Park Jaewoo jwpark88@yonsei.ac.kr [contributor]
Lee Sujeong dltnwjd2304@gmail.com [contributor]
See Also
Useful links: