Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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Authors: Roger Peng
Title: Multi-dimensional Point Process Models in R
Abstract: A software package for fitting and assessing multidimensional point process models using the R statistical computing environment is described. Methods of residual analysis based on random thinning are discussed and implemented. Features of the software are demonstrated using data on wildfire occurrences in Los Angeles County, California and earthquake occurrences in Northern California.

Page views:: 7324. Submitted: 2002-10-09. Published: 2003-09-09.
Paper: Multi-dimensional Point Process Models in R     Download PDF (Downloads: 7411)
DOI: 10.18637/jss.v008.i16

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.