NScluster: An R package for maximum palm likelihood estimation for cluster point process models using openMP

Abstract

NScluster is an R package used for simulation and parameter estimation for Neyman-Scott cluster point process models and their extensions. For parameter estimation, NSclus-ter uses the maximum Palm likelihood estimation procedure. As some estimation proce-dures proposed herein require heavy calculation, NScluster can use parallel computation via OpenMP and achieve significant speedup in some cases. In this paper, we discuss results obtained using a laptop PC and a shared memory supercomputer. In addition, we examine the performance characteristics of parallel computation via OpenMP.