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spmodel: Spatial statistical modeling and prediction in [Formula: see text].

Michael DumelleMatt HighamJay M Ver Hoef
Published in: PloS one (2023)
spmodel is an [Formula: see text] 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.
Keyphrases
  • big data
  • artificial intelligence
  • machine learning
  • smoking cessation
  • human milk
  • magnetic resonance
  • electronic health record
  • contrast enhanced
  • network analysis