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>.
| 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 + fileLICENSE |
| NeedsCompilation: | no |
| In views: | Agriculture |
| CRAN checks: | STCCGEV results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=STCCGEVto link to this page.