The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 0.1.26
Depends: R (≥ 3.5.0)
Imports: Rcpp, VGAM, cluster, mvtnorm, spatstat, spatstat.model, spatstat.geom, spatstat.random
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Published: 2022-12-08
Author: Mrkvicka Tomas [aut], Dvorak Jiri [aut], Beranek Ladislav [aut], Remes Radim [aut, cre]
Maintainer: Remes Radim <inrem at jcu.cz>
License: GPL-3
URL: https://github.com/tomasmrkvicka/binspp
NeedsCompilation: yes
CRAN checks: binspp results

Documentation:

Reference manual: binspp.pdf

Downloads:

Package source: binspp_0.1.26.tar.gz
Windows binaries: r-devel: binspp_0.1.26.zip, r-release: binspp_0.1.26.zip, r-oldrel: binspp_0.1.26.zip
macOS binaries: r-release (arm64): binspp_0.1.26.tgz, r-oldrel (arm64): binspp_0.1.26.tgz, r-release (x86_64): binspp_0.1.26.tgz, r-oldrel (x86_64): binspp_0.1.26.tgz
Old sources: binspp archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=binspp to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.