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binspp: Bayesian Inference for Neyman-Scott Point Processes
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>.
Getting started
Browse package contents
Package details |
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| Author | Mrkvicka Tomas [aut], Dvorak Jiri [aut], Beranek Ladislav [aut], Remes Radim [aut, cre], Park Jaewoo [ctb], Lee Sujeong [ctb] |
| Maintainer | Remes Radim <inrem@jcu.cz> |
| License | GPL-3 |
| Version | 0.2.2 |
| URL | https://github.com/tomasmrkvicka/binspp |
| Package repository | View on CRAN |
| Installation |
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