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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.3 |
rolling linux/jammy R-4.5 | binspp_0.2.3.tar.gz |
1.3 MiB |
0.2.3 |
rolling linux/noble R-4.5 | binspp_0.2.3.tar.gz |
1.4 MiB |
0.2.3 |
rolling source/ R- | binspp_0.2.3.tar.gz |
896.1 KiB |
0.2.3 |
latest linux/jammy R-4.5 | binspp_0.2.3.tar.gz |
1.3 MiB |
0.2.3 |
latest linux/noble R-4.5 | binspp_0.2.3.tar.gz |
1.4 MiB |
0.2.3 |
latest source/ R- | binspp_0.2.3.tar.gz |
896.1 KiB |
0.2.3 |
2026-04-26 source/ R- | binspp_0.2.3.tar.gz |
896.1 KiB |
0.2.3 |
2026-04-23 source/ R- | binspp_0.2.3.tar.gz |
896.1 KiB |
0.2.3 |
2026-04-09 windows/windows R-4.5 | binspp_0.2.3.zip |
1.7 MiB |
0.1.26 |
2025-04-20 source/ R- | binspp_0.1.26.tar.gz |
880.4 KiB |