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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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