The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

spCF: Coarse-to-Fine Spatial and Spatio-Temporal Modeling

Provides functions for coarse-to-fine spatial and spatio-temporal modeling, enabling fast prediction, regression, and uncertainty quantification for moderate to large datasets. For methodological details, see Murakami et al. (2026) <doi:10.1111/gean.70034> and related work on generalized linear, downscaling, and dynamic spatio-temporal extensions.

Version: 0.2.0
Depends: R (≥ 4.1.0)
Imports: FNN, fields, nloptr, dbscan, withr, Matrix, Rcpp
LinkingTo: Rcpp
Suggests: sp, sf, knitr, rmarkdown, CARBayesdata, ranger, lightgbm, shiny, bslib, leaflet, terra, testthat (≥ 3.0.0)
Published: 2026-08-04
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], Jose Luis Blanco-Claraco [ctb, cph] (Author of the bundled 'nanoflann' C++ library (src/nanoflann.h)), Marius Muja [cph] (Copyright holder of the bundled 'nanoflann' C++ library), David G. Lowe [cph] (Copyright holder of the bundled 'nanoflann' C++ library)
Maintainer: Daisuke Murakami <dmuraka at ism.ac.jp>
BugReports: https://github.com/dmuraka/spCF/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: see file COPYRIGHTS
URL: https://github.com/dmuraka/spCF
NeedsCompilation: yes
CRAN checks: spCF results

Documentation:

Reference manual: spCF.html , spCF.pdf
Vignettes: Coarse-to-fine dynamic space-time modeling: An application example (source, R code)
Coarse-to-fine spatial downscaling (CF-DS): Application example (source, R code)
Coarse-to-fine spatial GLMM: Application examples (source, R code)
Coarse-to-fine spatial modeling (CFSM) using the spCF package (source, R code)

Downloads:

Package source: spCF_0.2.0.tar.gz
Windows binaries: r-devel: spCF_0.2.0.zip, r-release: spCF_0.2.0.zip, r-oldrel: spCF_0.2.0.zip
macOS binaries: r-release (arm64): spCF_0.2.0.tgz, r-oldrel (arm64): spCF_0.2.0.tgz, r-release (x86_64): spCF_0.2.0.tgz, r-oldrel (x86_64): spCF_0.2.0.tgz
Old sources: spCF archive

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.
Health stats visible at Monitor.