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:

Other contributors:

See Also

Useful links:


[Package binspp version 0.2.2 Index]