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 further details, see Murakami et al. (2026) <doi:10.1111/gean.70034>.
| Version: | 0.1.1 |
| Imports: | FNN, fields, nloptr, dbscan, ranger, withr, Rcpp |
| LinkingTo: | Rcpp |
| Suggests: | sp, sf, knitr, rmarkdown, CARBayesdata |
| Published: | 2026-05-01 |
| DOI: | 10.32614/CRAN.package.spCF |
| Author: | Daisuke Murakami [aut, cre], Alexis Comber [aut], Takahiro Yoshida [aut], Narumasa Tsutsumida [aut], Chris Brunsdon [aut], Tomoki Nakaya [aut] |
| Maintainer: | Daisuke Murakami <dmuraka at ism.ac.jp> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | spCF results |
| Reference manual: | spCF.html , spCF.pdf |
| Vignettes: |
spCF_glm (source, R code) spCF_lm (source, R code) |
| Package source: | spCF_0.1.1.tar.gz |
| Windows binaries: | r-devel: spCF_0.1.0.zip, r-release: spCF_0.1.0.zip, r-oldrel: spCF_0.1.0.zip |
| macOS binaries: | r-release (arm64): spCF_0.1.1.tgz, r-oldrel (arm64): spCF_0.1.1.tgz, r-release (x86_64): spCF_0.1.0.tgz, r-oldrel (x86_64): spCF_0.1.1.tgz |
| Old sources: | spCF archive |
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