Package: spCF 0.1.1
spCF: Coarse-to-Fine Spatial Modeling
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>.
Authors:
spCF_0.1.1.tar.gz
spCF_0.1.1.zip(r-4.7)spCF_0.1.1.zip(r-4.6)spCF_0.1.1.zip(r-4.5)
spCF_0.1.1.tgz(r-4.6-x86_64)spCF_0.1.1.tgz(r-4.6-arm64)spCF_0.1.1.tgz(r-4.5-x86_64)spCF_0.1.1.tgz(r-4.5-arm64)
spCF_0.1.1.tar.gz(r-4.7-arm64)spCF_0.1.1.tar.gz(r-4.7-x86_64)spCF_0.1.1.tar.gz(r-4.6-arm64)spCF_0.1.1.tar.gz(r-4.6-x86_64)
spCF_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
spCF/json (API)
| # Install 'spCF' in R: |
| install.packages('spCF', repos = c('https://dmuraka.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dmuraka/spcf/issues
Last updated from:4125c1b7d7. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 152 | ||
| linux-devel-x86_64 | OK | 155 | ||
| source / vignettes | OK | 233 | ||
| linux-release-arm64 | OK | 310 | ||
| linux-release-x86_64 | OK | 157 | ||
| macos-release-arm64 | OK | 148 | ||
| macos-release-x86_64 | OK | 217 | ||
| macos-oldrel-arm64 | OK | 123 | ||
| macos-oldrel-x86_64 | OK | 299 | ||
| windows-devel | OK | 169 | ||
| windows-release | OK | 125 | ||
| windows-oldrel | OK | 112 | ||
| wasm-release | OK | 119 |
Exports:cf_glmcf_glm_hvcf_lmcf_lm_hvsp_scalewise
Dependencies:dbscandotCall64fieldsFNNgenericslatticemapsMatrixnloptrrangerRColorBrewerRcppRcppEigenspamviridisLitewithr
Coarse-to-fine spatial GLMM: Application examples
Rendered fromspCF_glm.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2026-05-06
Started: 2026-05-06
Coarse-to-fine spatial modeling (CFSM) using the spCF package
Rendered fromspCF_intro.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2026-05-06
Started: 2026-05-06
