Provides functions to estimate, predict and interpolate areal data. For estimation and prediction we assume areal data is an average of an underlying continuous spatial process as in Moraga et al. (2017) <doi:10.1016/j.spasta.2017.04.006>, Johnson et al. (2020) <doi:10.1186/s12942-020-00200-w>, and Wilson and Wakefield (2020) <doi:10.1093/biostatistics/kxy041>. The interpolation methodology is (mostly) based on Goodchild and Lam (1980, ISSN:01652273).
Version: 1.0.5 Depends: R (≥ 4.0) Imports: numDeriv, Rcpp, sf, mvtnorm, stats, parallel, Matrix LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, ggplot2, graphics, spelling Published: 2024-06-14 DOI: 10.32614/CRAN.package.smile Author: Lucas da Cunha Godoy [aut, cre] Maintainer: Lucas da Cunha Godoy <lcgodoy at duck.com> BugReports: https://github.com/lcgodoy/smile/issues/ License: GPL-3 URL: https://lcgodoy.me/smile/, https://github.com/lcgodoy/smile/ NeedsCompilation: yes SystemRequirements: GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0) Language: en-US Materials: README NEWS CRAN checks: smile results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=smile to link to this page.
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