Conditional Copula Model for Crop Yield Forecasting R package STCCGEV version 1.0.0 CRAN Task View: Agriculture (https://CRAN.R-project.org/view=Agriculture) 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>. Software Depends: R (>= 4.0.0) Imports: bsts, copula, evd, ggplot2, grDevices, rootSolve, stats, utils Suggests: knitr, rmarkdown, testthat (>= 3.0.0), Yongkun Li <yongkun.li@concordia.ca> Comprehensive R Archive Network (CRAN) Marie Michaelides [aut], Mélina Mailhot [aut], Yongkun Li [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=STCCGEV/LICENSE) 2025-03-27 application/tgz https://CRAN.R-project.org/package=STCCGEV doi:10.32614/CRAN.package.STCCGEV