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>.
| Version: |
0.2.2 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
Rcpp, VGAM, cluster, mvtnorm, spatstat, spatstat.model, spatstat.geom, spatstat.random, fields |
| LinkingTo: |
Rcpp, RcppArmadillo, RcppEigen |
| Published: |
2025-05-05 |
| DOI: |
10.32614/CRAN.package.binspp |
| Author: |
Mrkvicka Tomas [aut],
Dvorak Jiri [aut],
Beranek Ladislav [aut],
Remes Radim [aut, cre],
Park Jaewoo [ctb],
Lee Sujeong [ctb] |
| Maintainer: |
Remes Radim <inrem at jcu.cz> |
| License: |
GPL-3 |
| URL: |
https://github.com/tomasmrkvicka/binspp |
| NeedsCompilation: |
yes |
| CRAN checks: |
binspp results |
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