Preliminaries | Overview of models | Overview of functions
Package: NScluster 1.3.6-5
Ushio Tanaka
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:
NScluster_1.3.6-5.tar.gz
NScluster_1.3.6-5.tar.gz(r-4.7-arm64)NScluster_1.3.6-5.tar.gz(r-4.7-x86_64)NScluster_1.3.6-5.tar.gz(r-4.6-arm64)NScluster_1.3.6-5.tar.gz(r-4.6-x86_64)
NScluster_1.3.6-5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
NScluster/json (API)
| # Install 'NScluster' in R: |
| install.packages('NScluster', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Uses libs:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:a32b98e885. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 114 | ||
| linux-devel-x86_64 | OK | 104 | ||
| source / vignettes | OK | 215 | ||
| linux-release-arm64 | OK | 120 | ||
| linux-release-x86_64 | OK | 100 | ||
| wasm-release | OK | 84 |
Exports:boot.mplemple.cppmpalm.cppmsim.cppm
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models | NScluster-package NScluster |
| Bootstrap resampling for MPLE | boot.mple summary.boot.mple |
| MPLE of Neyman-Scott Cluster Point Process Models and Their Extensions | coef.mple mple.cppm summary.mple |
| Non-parametric and Parametric Estimation for Palm Intensity | palm.cppm print.Palm |
| Show the Process for Optimizing Parameter Set | plot.mple |
| Plot Non-Parametric and Parametric Normalized Palm Intensity | plot.Palm |
| Print Process for Maximizing Log-Palm Likelihood Function | print.mple |
| Simulation for Neyman-Scott Cluster Point Process Models and Their Extensions | plot.sim.cpp print.sim.cpp sim.cppm |