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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
  • openmp– GCC OpenMP (GOMP) support library

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 267 downloads 4 exports 0 dependencies

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

TargetResultDate
Doc / VignettesOKDec 11 2024
R-4.5-linux-x86_64NOTEDec 11 2024

Exports:boot.mplemple.cppmpalm.cppmsim.cppm

Dependencies:

A Guide to NScluster

Rendered fromNScluster.Rnwusingutils::Sweaveon Dec 11 2024.

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