Contributed R Packages

R is a free software environment for statistical computing and graphics. R is distributed through CRAN (Comprehensive R Archive Network) mirrors . The analysis and code shown in the book are implemented by the following contributed packages:

CompRandFld 1.0.3-4: Composite-Likelihood Based Analysis of Random Fields

A set of procedures for the analysis of Random Fields using likelihood and non-standard likelihood methods is provided. Spatial analysis often involves dealing with large dataset. Therefore even simple studies may be too computationally demanding. Composite likelihood inference is emerging as a useful tool for mitigating such computational problems. This methodology shows satisfactory results when compared with other techniques such as the tapering method. Moreover, composite likelihood (and related quantities) have some useful properties similar to those of the standard likelihood.
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SpatialPack 0.2-3: Package for Analysis of Spatial Data

This package provides tools to assess the association between two spatial processes. Currently, three methodologies are implemented: An adapted t test to perform hypothesis testing about the independence between the processes, a suitable nonparametric correlation coefficient, and the codispersion coefficient.
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