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.
- Version0.1.26
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release12/08/2022
Team
Remes Radim
Mrkvicka Tomas
Show author detailsRolesAuthorDvorak Jiri
Show author detailsRolesAuthorBeranek Ladislav
Show author detailsRolesAuthor
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- Imports8 packages
- Linking To3 packages