Implements classes and methods for modeling spatial point patterns using inhomogeneous Poisson point processes, where the intensity surface is assumed to be analogous to a finite additive mixture of normal components and the number of components is a finite, fixed or random integer. Extensions to the marked inhomogeneous Poisson point processes case are also presented. We provide an extensive suite of R functions that can be used to simulate, visualize and model point patterns, estimate the parameters of the models, assess convergence of the algorithms and perform model selection and checking in the proposed modeling context.
Package details 


Author  Jiaxun Chen <[email protected]> and Athanasios (Sakis) Christou Micheas <[email protected]>. Significant contributions on the package skeleton creation, plotting functions and other code by Yuchen Wang <[email protected]> 
Date of publication  20171117 08:35:59 UTC 
Maintainer  Sakis Micheas <[email protected]> 
License  GPL (>= 2) 
Version  1.0.2 
URL  http://faculty.missouri.edu/~micheasa/sppmix/index.html 
Package repository  View on CRAN 
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