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 In views: Agriculture CRAN checks: STCCGEV results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=STCCGEV to link to this page.
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