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Implements DB-TARF (Design-Based Targeted Adaptive Residual Forest) for large-scale digital soil and ecological mapping evaluated under the design-based paradigm of Wadoux et al. (2021) <doi:10.1016/j.ecolmodel.2021.109692>. A random forest is augmented by a cross-fitted, out-of-fold-selected residual correction (residual forests, ordinary kriging, recalibration), together with design-based conformal prediction intervals.
| Version: | 0.3.0 |
| Imports: | ranger, caret, stats, withr |
| Suggests: | Cubist, gstat, sp, nnet, testthat (≥ 3.0.0) |
| Published: | 2026-07-06 |
| DOI: | 10.32614/CRAN.package.GeoVersa |
| Author: | Hugo Rodrigues [aut, cre] |
| Maintainer: | Hugo Rodrigues <rodrigues.machado.hugo at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | GeoVersa results |
| Reference manual: | GeoVersa.html , GeoVersa.pdf |
| Package source: | GeoVersa_0.3.0.tar.gz |
| Windows binaries: | r-devel: GeoVersa_0.3.0.zip, r-release: GeoVersa_0.3.0.zip, r-oldrel: GeoVersa_0.3.0.zip |
| macOS binaries: | r-release (arm64): GeoVersa_0.3.0.tgz, r-oldrel (arm64): GeoVersa_0.3.0.tgz, r-release (x86_64): GeoVersa_0.3.0.tgz, r-oldrel (x86_64): GeoVersa_0.3.0.tgz |
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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.