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) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("binspp")

0.2.4 by Remes Radim, 4 months ago


https://github.com/tomasmrkvicka/binspp


Browse source code at https://github.com/cran/binspp


Authors: Mrkvicka Tomas [aut] , Dvorak Jiri [aut] , Beranek Ladislav [aut] , Remes Radim [aut, cre] , Park Jaewoo [ctb] , Lee Sujeong [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, VGAM, cluster, mvtnorm, spatstat, spatstat.model, spatstat.geom, spatstat.random, fields, stats

Suggests knitr, rmarkdown, testthat

Linking to Rcpp, RcppArmadillo, RcppEigen


See at CRAN