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spCF

Coarse-to-Fine Spatial Modeling

v0.1.2 · Jun 29, 2026 · GPL (>= 2)

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.

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CRAN Check Status

13 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies FNN fields nloptr dbscan ranger withr Rcpp spCF

Version History

3 tracked
updated 0.1.2 ← 0.1.1 diff Jun 29, 2026
updated 0.1.1 ← 0.1.0 diff May 1, 2026
new 0.1.0 Mar 10, 2026

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Jan 19, 2026. Releases before tracking aren’t shown.