Package: spCF
Type: Package
Title: Coarse-to-Fine Spatial Modeling
Version: 0.1.2
Authors@R: c(
    person("Daisuke",  "Murakami",   email = "dmuraka@ism.ac.jp",
           role = c("aut", "cre")) ,
    person("Alexis",   "Comber",     role = "aut"),
    person("Takahiro", "Yoshida",    role = "aut"),
    person("Narumasa", "Tsutsumida", role = "aut"),
    person("Chris",    "Brunsdon",   role = "aut"),
    person("Tomoki",   "Nakaya",     role = "aut"))
Imports: FNN, fields, nloptr, dbscan, ranger, withr, Rcpp
LinkingTo: Rcpp
Suggests: sp, sf, knitr, rmarkdown, CARBayesdata, lightgbm
Description: Provides functions for coarse-to-fine spatial modeling (CFSM), enabling fast spatial prediction, regression, and uncertainty quantification. This method is suitable for moderate to large samples. For methodological details, see Murakami et al. (2026) <doi:10.1111/gean.70034> and related works on its generalized-linear <doi:10.48550/arXiv.2605.01157> and downscaling extensions.
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.3.3
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-06-29 05:20:46 UTC; dmuraka
Author: Daisuke Murakami [aut, cre],
  Alexis Comber [aut],
  Takahiro Yoshida [aut],
  Narumasa Tsutsumida [aut],
  Chris Brunsdon [aut],
  Tomoki Nakaya [aut]
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>
Repository: CRAN
Date/Publication: 2026-06-29 07:50:08 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-07-04 02:39:49 UTC; windows
Archs: x64
