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.

Roger Peng

English

Research Papers in Economics

A simplex algorithm for function minimization,&quot;

A space-time survival point process for a longleaf pine forest in southern Georgia,&quot;

An Introduction to the Theory of Point Processes,

Approximating point process likelihoods with GLIM,&quot;

Asymptotic properties of estimators for the parameters of spatial inhomogeneous Poisson point processes,&quot;

Asymptotic properties of the maximum likelihood estimator for spatio-temporal point processes,&quot;

Convergence theorems for a class of simulated annealing algorithms on Rd.&quot;

Documentation for the Statistical Seismology Library,&quot;

Forest Fires Models,&quot;

Lexical scope and statistical computing,&quot;

Likelihood analysis of point processes and its applications to seismological data,&quot;

Likelihood analysis of spatial point patterns,&quot;

Multi-dimensional Point Process Models for Evaluating a Wild Hazard Index,&quot;

Multi-dimensional Residual Analysis of Point Process Models for Earthquake Occurrences,&quot;

Numerical Optimization,

On Lewis' simulation method for point processes,&quot;

Practical Maximum Pseudolikelihood for Spatial Point Patterns,&quot;

Programming with Data: A Guide to the S Language,

R: A language for data analysis and graphics,&quot;

Risk Assessment: A Forest Fire Example,&quot;

Second-order Analysis of Space-time Clustering,&quot;

Seismicity analysis through point-process modeling: a review,&quot;

Simulation of nonhomogeneous Poisson processes by thinning,&quot;

Some examples of statistical estimation applied to earthquake data,&quot;

Space-time point process models for earthquake occurrences,&quot;

Splancs: spatial point pattern analysis code in S-Plus,&quot;

Statistical Analysis of Spatial Point Patterns,

Statistical models for earthquake occurrences and residual analysis for point processes,&quot;

Stochastic models for earthquake occurrence,&quot;

Tests of `randomness' for spatial point patterns,&quot;

The asymptotic behavior of maximum likelihood estimators for stationary point processes,&quot;

The second-order analysis of stationary point processes,&quot;

Transforming spatial point processes into Poisson processes,&quot;

Multi-dimensional Point Process Models in R

Multi-dimensional Point Process Models in R

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Research Papers in Economics