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 |
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Author | Liang Jing |
Maintainer | Liang Jing <ljing918@gmail.com> |
License | GPL (>= 2) |
Version | 1.130409 |
Package repository | View on R-Forge |
Installation |
Install the latest version of this package by entering the following in R:
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