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STCCGEV: Conditional Copula Model for Crop Yield Forecasting
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>.
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Package details |
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| Author | Marie Michaelides [aut], Mélina Mailhot [aut], Yongkun Li [aut, cre] |
| Maintainer | Yongkun Li <yongkun.li@concordia.ca> |
| License | MIT + file LICENSE |
| Version | 1.0.0 |
| Package repository | View on CRAN |
| Installation |
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