R: Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models

# Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models

## Documentation for package ‘NScluster’ version 1.3.6-5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

NScluster-package | Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models
boot.mple | Bootstrap resampling for MPLE
coef.mple | MPLE of Neyman-Scott Cluster Point Process Models and Their Extensions
mple.cppm | MPLE of Neyman-Scott Cluster Point Process Models and Their Extensions
NScluster | Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models
palm.cppm | Non-parametric and Parametric Estimation for Palm Intensity
plot.mple | Show the Process for Optimizing Parameter Set
plot.Palm | Plot Non-Parametric and Parametric Normalized Palm Intensity
plot.sim.cpp | Simulation for Neyman-Scott Cluster Point Process Models and Their Extensions
print.mple | Print Process for Maximizing Log-Palm Likelihood Function
print.Palm | Non-parametric and Parametric Estimation for Palm Intensity
print.sim.cpp | Simulation for Neyman-Scott Cluster Point Process Models and Their Extensions
sim.cppm | Simulation for Neyman-Scott Cluster Point Process Models and Their Extensions
summary.boot.mple | Bootstrap resampling for MPLE
summary.mple | MPLE of Neyman-Scott Cluster Point Process Models and Their Extensions