Package: remap 0.3.1
remap: Regional Spatial Modeling with Continuous Borders
Automatically creates separate regression models for different spatial regions. The prediction surface is smoothed using a regional border smoothing method. If regional models are continuous, the resulting prediction surface is continuous across the spatial dimensions, even at region borders. Methodology is described in Wagstaff and Bean (2023) <doi:10.32614/RJ-2023-004>.
Authors:
remap_0.3.1.tar.gz
remap_0.3.1.zip(r-4.5)remap_0.3.1.zip(r-4.4)remap_0.3.1.zip(r-4.3)
remap_0.3.1.tgz(r-4.4-any)remap_0.3.1.tgz(r-4.3-any)
remap_0.3.1.tar.gz(r-4.5-noble)remap_0.3.1.tar.gz(r-4.4-noble)
remap_0.3.1.tgz(r-4.4-emscripten)remap_0.3.1.tgz(r-4.3-emscripten)
remap.pdf |remap.html✨
remap/json (API)
NEWS
# Install 'remap' in R: |
install.packages('remap', repos = c('https://jadonwagstaff.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jadonwagstaff/remap/issues
Last updated 1 years agofrom:03548c21e7. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 05 2024 |
R-4.5-win | OK | Nov 05 2024 |
R-4.5-linux | OK | Nov 05 2024 |
R-4.4-win | OK | Nov 05 2024 |
R-4.4-mac | OK | Nov 05 2024 |
R-4.3-win | OK | Nov 05 2024 |
R-4.3-mac | OK | Nov 05 2024 |
Dependencies:classclassIntDBIe1071KernSmoothmagrittrMASSproxyRcpps2sfunitswk