Simulation and estimation for Neyman-Scott spatial cluster point process models and their extensions, based on the methodology in Tanaka, Ogata, and Stoyan (2008) <doi:10.1002/bimj.200610339>. To estimate parameters by the simplex method, parallel computation using 'OpenMP' application programming interface is available.
Version: | 1.3.4 |
Depends: | R (≥ 3.0.0) |
Imports: | graphics |
Published: | 2019-12-02 |
Author: | Ushio Tanaka [aut] (Fortran original), Masami Saga [aut, cre], Junji Nakano [aut] |
Maintainer: | Masami Saga <msaga at mtb.biglobe.ne.jp> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
Copyright: | see file COPYRIGHTS |
NeedsCompilation: | yes |
CRAN checks: | NScluster results |
Reference manual: | NScluster.pdf |
Vignettes: |
A Guide to NScluster |
Package source: | NScluster_1.3.4.tar.gz |
Windows binaries: | r-devel: NScluster_1.3.4.zip, r-release: NScluster_1.3.4.zip, r-oldrel: NScluster_1.3.4.zip |
macOS binaries: | r-release: NScluster_1.3.4.tgz, r-oldrel: NScluster_1.3.4.tgz |
Old sources: | NScluster archive |
Please use the canonical form https://CRAN.R-project.org/package=NScluster to link to this page.