This package provides a variety of functions to analyze and model geostatistical count data with generalized linear spatial models, including 1) simulate and visualize the data; 2) posterior sampling with robust MCMC algorithms (in serial or parallel way); 3) perform prediction for unsampled locations; 4) conduct Bayesian model checking procedure to evaluate the goodness of fitting; 5) conduct transformed residual checking procedure. In the package, seamlessly embedded C++ programs and parallel computing techniques are implemented to speed up the computing processes.
Package details 


Author  Liang Jing 
Date of publication  20130430 13:01:08 
Maintainer  Liang Jing <ljing918@gmail.com> 
License  GPL (>= 2) 
Version  1.130409 
Package repository  View on RForge 
Installation 
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