spmodel: Spatial statistical modeling and prediction in <math xmlns="http://www.w3.org/1998/Math/MathML"> <mi mathvariant="sans-serif">R</mi> </math>.
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- Record sourced from PubMed, PMID 36893090.
- Also identified by DOI 10.1371/journal.pone.0282524 and PMC identifier 9997982.
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Abstract
spmodel is an <math xmlns="http://www.w3.org/1998/Math/MathML"> <mi mathvariant="bold-sans-serif">R</mi> </math> package used to fit, summarize, and predict for a variety spatial statistical models applied to point-referenced or areal (lattice) data. Parameters are estimated using various methods, including likelihood-based optimization and weighted least squares based on variograms. Additional modeling features include anisotropy, non-spatial 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.
Medical subject headings
- Models, Statistical