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STCCGEV  

Conditional Copula Model for Crop Yield Forecasting
View on CRAN: Click here


Download and install STCCGEV package within the R console
Install from CRAN:
install.packages("STCCGEV")

Install from Github:
library("remotes")
install_github("cran/STCCGEV")

Install by package version:
library("remotes")
install_version("STCCGEV", "1.0.0")



Attach the package and use:
library("STCCGEV")
Maintained by
Yongkun Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-03-27
Latest Update: 2025-03-27
Description:
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>.
How to cite:
Yongkun Li (2025). STCCGEV: Conditional Copula Model for Crop Yield Forecasting. R package version 1.0.0, https://cran.r-project.org/web/packages/STCCGEV. Accessed 19 Apr. 2025.
Previous versions and publish date:
No previous versions
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View STCCGEV citation profile
Other R packages that STCCGEV depends, imports, suggests or enhances
Complete documentation for STCCGEV
Functions, R codes and Examples using the STCCGEV R package
Full STCCGEV package functions and examples
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