Package: NScluster 1.3.6-1

Masami Saga

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. For more details see Tanaka, Saga and Nakano <doi:10.18637/jss.v098.i06>.

Authors:Ushio Tanaka [aut], Masami Saga [aut, cre], Junji Nakano [aut]

NScluster_1.3.6-1.tar.gz
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NScluster.pdf |NScluster.html✨
NScluster/json (API)
NEWS

# Install 'NScluster' in R:
install.packages('NScluster', repos = 'https://cloud.r-project.org')
Uses libs:
  • fortran– Runtime library for GNU Fortran applications
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

fortranopenmp

2.00 score 1 stars 416 downloads 4 exports 0 dependencies

Last updated 2 years agofrom:32890632e2. Checks:1 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-linux-x86_64NOTEMar 11 2025
R-4.4-linux-x86_64NOTEMar 11 2025

Exports:boot.mplemple.cppmpalm.cppmsim.cppm

Dependencies:

A Guide to NScluster

Rendered fromNScluster.Rnwusingutils::Sweaveon Mar 11 2025.

Last update: 2023-03-25
Started: 2019-02-22

Citation

To cite NScluster/OpenMP in publications use:

Tanaka U, Saga M, Nakano J (2021). “NScluster: An R Package for Maximum Palm Likelihood Estimation for Cluster Point Process Models Using OpenMP.” Journal of Statistical Software, 98(6), 1–22. doi:10.18637/jss.v098.i06.

Corresponding BibTeX entry: 

  @Article{,
    title = {{NScluster}: An {R} Package for Maximum {P}alm Likelihood
      Estimation for Cluster Point Process Models Using {OpenMP}},
    author = {Ushio Tanaka and Masami Saga and Junji Nakano},
    journal = {Journal of Statistical Software},
    year = {2021},
    volume = {98},
    number = {6},
    pages = {1--22},
    doi = {10.18637/jss.v098.i06},
  }