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>. For estimating parameters by the simplex method, parallel computation using 'OpenMP' application programming interface is available.

Version: 1.2.0
Depends: R (≥ 3.0.0)
Imports: graphics
Published: 2018-03-19
Author: Ushio Tanaka [aut] (Fortran original), Junji Nakano [aut], Masami Saga [aut, cre]
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

Downloads:

Reference manual: NScluster.pdf
Package source: NScluster_1.2.0.tar.gz
Windows binaries: r-devel: NScluster_1.2.0.zip, r-release: NScluster_1.2.0.zip, r-oldrel: NScluster_1.2.0.zip
OS X binaries: r-release: NScluster_1.2.0.tgz, r-oldrel: NScluster_1.2.0.tgz
Old sources: NScluster archive

Linking:

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