A set of procedures for the analysis of Random Fields using likelihood and nonstandard 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.
Package details 


Author  Simone Padoan[aut, cre] <[email protected]>, Moreno Bevilacqua[aut] <[email protected]> 
Date of publication  20180608 12:10:18 UTC 
Maintainer  Simone Padoan <[email protected]> 
License  GPL (>= 2) 
Version  1.0.35 
URL  http://faculty.unibocconi.it/simonepadoan 
Package repository  View on CRAN 
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