Multi-dimensional point process models in R

Research output: Contribution to journalArticlepeer-review

Abstract

A software package for fitting and assessing multi-dimensional 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.

Original languageEnglish (US)
Pages (from-to)1-27
Number of pages27
JournalJournal of Statistical Software
Volume8
DOIs
StatePublished - 2003
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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