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Provides functions to model and forecast crop yields using a spatial temporal conditional copula approach. The package incorporates extreme weather covariates and Bayesian Structural Time Series models to analyze crop yield dependencies across multiple regions. Includes tools for fitting, simulating, and visualizing results. This method build upon established R packages, including 'Hofert' 'et' 'al'. (2025) <doi:10.32614/CRAN.package.copula>, 'Scott' (2024) <doi:10.32614/CRAN.package.bsts>, and 'Stephenson' 'et' 'al'. (2024) <doi:10.32614/CRAN.package.evd>.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | bsts, copula, evd, ggplot2, grDevices, rootSolve, stats, utils |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2025-03-27 |
| DOI: | 10.32614/CRAN.package.STCCGEV |
| Author: | Marie Michaelides [aut], Mélina Mailhot [aut], Yongkun Li [aut, cre] |
| Maintainer: | Yongkun Li <yongkun.li at concordia.ca> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | STCCGEV results |
| Reference manual: | STCCGEV.pdf |
| Vignettes: |
Predicting Crop Yields Using STCCGEV Method (source, R code) |
| Package source: | STCCGEV_1.0.0.tar.gz |
| Windows binaries: | r-devel: STCCGEV_1.0.0.zip, r-release: STCCGEV_1.0.0.zip, r-oldrel: STCCGEV_1.0.0.zip |
| macOS binaries: | r-release (arm64): STCCGEV_1.0.0.tgz, r-oldrel (arm64): STCCGEV_1.0.0.tgz, r-release (x86_64): STCCGEV_1.0.0.tgz, r-oldrel (x86_64): STCCGEV_1.0.0.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.
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