NScluster: An R Package for Maximum Palm Likelihood Estimation for Cluster Point Process Models Using OpenMP

Dublin Core

Title

NScluster: An R Package for Maximum Palm Likelihood Estimation for Cluster Point Process Models Using OpenMP

Subject

Thomas model, inverse-power type model, extended Thomas model, Palm intensity, maximum Palm likelihood estimation, NScluster, OpenMP, parallel computation,
simplex method.

Description

NScluster is an R package used for simulation and parameter estimation for NeymanScott cluster point process models and their extensions. For parameter estimation, NScluster uses the maximum Palm likelihood estimation procedure. As some estimation procedures 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

Creator

Ushio Tanaka

Source

https://www.jstatsoft.org/article/view/v098i06

Publisher

Osaka Prefecture University

Date

May 2021

Contributor

Fajar Bagus W

Format

PDF

Language

Inggris

Type

Text

Files

Citation

Ushio Tanaka, “NScluster: An R Package for Maximum Palm Likelihood Estimation for Cluster Point Process Models Using OpenMP,” Repository Horizon University Indonesia, accessed February 5, 2025, https://repository.horizon.ac.id/items/show/8192.