spmodel: Spatial modeling in R
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Fit, summarize, and predict for a variety of spatial statistical models. Parameters of spatial linear models are estimated using a variety of methods. Additional modeling features include anisotropy, random effects, partition factors, big data approaches, and more. Model-fit statistics are used to summarize, visualize, and compare models. Predictions at unobserved locations are readily obtainable.