NScluster: Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models

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.