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:
NScluster_1.3.6-1.tar.gz
NScluster_1.3.6-1.tar.gz(r-4.5-noble)NScluster_1.3.6-1.tar.gz(r-4.4-noble)
NScluster_1.3.6-1.tgz(r-4.4-emscripten)NScluster_1.3.6-1.tgz(r-4.3-emscripten)
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:32890632e2. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 11 2024 |
R-4.5-linux-x86_64 | NOTE | Dec 11 2024 |
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 |