Package: spmodel Title: Spatial Statistical Modeling and Prediction Version: 0.14.0 Authors@R: c( person(given = "Michael", family = "Dumelle", role = c("aut", "cre"), email = "Dumelle.Michael@epa.gov", comment = c(ORCID = "0000-0002-3393-5529")), person(given = "Matthew", family = "Heaton", role = "ctb", comment = c(ORCID = "0000-0003-4654-9827")), person(given = "Matt", family = "Higham", role = "aut", email = "mhigham@stlawu.edu", comment = c(ORCID = "0009-0006-4217-625X")), person(given = "Ryan A.", family = "Hill", role = "ctb", comment = c(ORCID = "0000-0001-9583-0426")), person(given = "Michael", family = "Mahon", role = "ctb", comment = c(ORCID = "0000-0002-9436-2998")), person(given = "Jay M.", family = "Ver Hoef", role = "aut", comment = c(ORCID = "0000-0003-4302-6895")) ) Description: 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) . License: GPL-3 Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Depends: R (>= 3.5.0) Imports: graphics, generics, Matrix, sf, stats, tibble, parallel Suggests: rmarkdown, knitr, testthat (>= 3.0.0), ggplot2, ranger, statmod, pROC, emmeans (>= 1.4), estimability, numDeriv, GPvecchia, randomForest, xgboost, spsurvey VignetteBuilder: knitr Config/testthat/edition: 3 URL: https://usepa.github.io/spmodel/ BugReports: https://github.com/USEPA/spmodel/issues Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev libssl-dev libproj-dev libsqlite3-dev libudunits2-dev Repository: https://usepa.r-universe.dev Date/Publication: 2026-09-10 17:21:29 UTC RemoteUrl: https://github.com/usepa/spmodel RemoteRef: HEAD RemoteSha: 5b18f6b3214f4035bc257a2f3c3fe09c7db89355 NeedsCompilation: no Packaged: 2026-10-11 15:05:12 UTC; root Author: Michael Dumelle [aut, cre] (ORCID: ), Matthew Heaton [ctb] (ORCID: ), Matt Higham [aut] (ORCID: ), Ryan A. Hill [ctb] (ORCID: ), Michael Mahon [ctb] (ORCID: ), Jay M. Ver Hoef [aut] (ORCID: ) Maintainer: Michael Dumelle