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) , 'Scott' (2024) , and 'Stephenson' 'et' 'al'. (2024) .


Reference manual

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install.packages("STCCGEV")

1.0.0 by Yongkun Li, 2 years ago


Browse source code at https://github.com/cran/STCCGEV


Authors: Marie Michaelides [aut] , Mélina Mailhot [aut] , Yongkun Li [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports bsts, copula, evd, ggplot2, grDevices, rootSolve, stats, utils

Suggests knitr, rmarkdown, testthat


See at CRAN