binspp

Bayesian Inference for Neyman-Scott Point Processes

CRAN Package

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


Insights

Last 30 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports8 packages
  • Linking To3 packages