spCF: Coarse-to-Fine Spatial Modeling

Provides functions for coarse-to-fine spatial modeling (CFSM), enabling fast spatial prediction, regression, and uncertainty quantification. For further details, see Murakami et al. (2025) <doi:10.48550/arXiv.2510.00968>.

Version: 0.1.0
Imports: FNN, fields, nloptr, dbscan, ranger, withr
Suggests: sp, sf, knitr, rmarkdown
Published: 2026-01-19
DOI: 10.32614/CRAN.package.spCF (may not be active yet)
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: no
CRAN checks: spCF results

Documentation:

Reference manual: spCF.html , spCF.pdf
Vignettes: spCF_intro (source, R code)

Downloads:

Package source: spCF_0.1.0.tar.gz
Windows binaries: r-devel: spCF_0.1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): spCF_0.1.0.tgz, r-oldrel (arm64): spCF_0.1.0.tgz, r-release (x86_64): spCF_0.1.0.tgz, r-oldrel (x86_64): spCF_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=spCF to link to this page.