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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>.
| Version: | 0.3.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | graphics (≥ 4.1.0), methods (≥ 4.1.0), parallel (≥ 4.1.0), sf (≥ 1.0.0), stats (≥ 4.1.0), units (≥ 0.6.7), utils (≥ 4.1.0) |
| Suggests: | dplyr (≥ 1.0.2), ggplot2 (≥ 3.3.2), knitr (≥ 1.30), maps (≥ 3.3.0), mgcv (≥ 1.8.33), rmarkdown (≥ 2.5) |
| Published: | 2023-06-14 |
| Author: | Jadon Wagstaff [aut, cre], Brennan Bean [aut] |
| Maintainer: | Jadon Wagstaff <jadonw at gmail.com> |
| BugReports: | https://github.com/jadonwagstaff/remap/issues |
| License: | GPL-3 |
| URL: | https://github.com/jadonwagstaff/remap |
| NeedsCompilation: | no |
| Citation: | remap citation info |
| Materials: | NEWS |
| CRAN checks: | remap results |
| Reference manual: | remap.pdf |
| Vignettes: |
Introduction to remap |
| Package source: | remap_0.3.1.tar.gz |
| Windows binaries: | r-devel: remap_0.3.1.zip, r-release: remap_0.3.1.zip, r-oldrel: remap_0.3.1.zip |
| macOS binaries: | r-release (arm64): remap_0.3.1.tgz, r-oldrel (arm64): remap_0.3.1.tgz, r-release (x86_64): remap_0.3.1.tgz, r-oldrel (x86_64): remap_0.3.1.tgz |
| Old sources: | remap archive |
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These binaries (installable software) and packages are in development.
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