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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "spmodel" in publications use:'
type: software
license: GPL-3.0-only
title: 'spmodel: Spatial Statistical Modeling and Prediction'
version: 0.8.0
doi: 10.1371/journal.pone.0282524
identifiers:
- type: doi
  value: 10.32614/CRAN.package.spmodel
abstract: Fit, summarize, and predict for a variety of spatial statistical models
  applied to point-referenced and areal (lattice) data. Parameters are estimated using
  various methods. 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. For additional details, see Dumelle et al. (2023)
  <https://doi.org/10.1371/journal.pone.0282524>.
authors:
- family-names: Dumelle
  given-names: Michael
  email: Dumelle.Michael@epa.gov
  orcid: https://orcid.org/0000-0002-3393-5529
- family-names: Higham
  given-names: Matt
  email: mhigham@stlawu.edu
  orcid: https://orcid.org/0009-0006-4217-625X
- family-names: Ver Hoef
  given-names: Jay M.
  email: jay.verhoef@noaa.gov
  orcid: https://orcid.org/0000-0003-4302-6895
preferred-citation:
  type: article
  title: 'spmodel: Spatial statistical modeling and prediction in R'
  authors:
  - family-names: Dumelle
    given-names: Michael
    email: Dumelle.Michael@epa.gov
    orcid: https://orcid.org/0000-0002-3393-5529
  - family-names: Higham
    given-names: Matt
    email: mhigham@stlawu.edu
    orcid: https://orcid.org/0009-0006-4217-625X
  - family-names: Ver Hoef
    given-names: Jay M.
    email: jay.verhoef@noaa.gov
    orcid: https://orcid.org/0000-0003-4302-6895
  journal: PLOS ONE
  year: '2023'
  volume: '18'
  issue: '3'
  doi: 10.1371/journal.pone.0282524
  url: https://doi.org/10.1371/journal.pone.0282524
  start: '1'
  end: '32'
repository: https://CRAN.R-project.org/package=spmodel
repository-code: https://github.com/USEPA/spmodel
url: https://usepa.github.io/spmodel/
date-released: '2024-08-27'
contact:
- family-names: Dumelle
  given-names: Michael
  email: Dumelle.Michael@epa.gov
  orcid: https://orcid.org/0000-0002-3393-5529