Local likelihood estimation for covariance functions with spatially-varying parameters: the convoSPAT package for R

@article{Risser2015LocalLE,
  title={Local likelihood estimation for covariance functions with spatially-varying parameters: the convoSPAT package for R},
  author={Mark D. Risser and Catherine A. Calder},
  journal={arXiv: Computation},
  year={2015}
}
In spite of the interest in and appeal of convolution-based approaches for nonstationary spatial modeling, off-the-shelf software for model fitting does not as of yet exist. Convolution-based models are highly flexible yet notoriously difficult to fit, even with relatively small data sets. The general lack of pre-packaged options for model fitting makes it difficult to compare new methodology in nonstationary modeling with other existing methods, and as a result most new models are simply… 

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