NScluster: An R Package for Maximum Palm Likelihood Estimation for Cluster Point Process Models Using OpenMP
Open Access
- 1 January 2021
- journal article
- research article
- Published by Foundation for Open Access Statistic in Journal of Statistical Software
- Vol. 98 (6), 1-22
- https://doi.org/10.18637/jss.v098.i06
Abstract
NScluster: An R Package for Maximum Palm Likelihood Estimation for Cluster Point Process Models Using OpenMPKeywords
This publication has 4 references indexed in Scilit:
- Identification and estimation of superposed Neyman–Scott spatial cluster processesAnnals of the Institute of Statistical Mathematics, 2014
- Asymptotic Palm likelihood theory for stationary point processesAnnals of the Institute of Statistical Mathematics, 2012
- Spatially explicit neutral models for population genetics and community ecology: Extensions of the Neyman–Scott clustering processTheoretical Population Biology, 2010
- Parameter Estimation and Model Selection for Neyman‐Scott Point ProcessesBiometrical Journal, 2008