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 + file LICENSE
NeedsCompilation:	no
CRAN checks:	STCCGEV results

Documentation:

Reference manual:	STCCGEV.pdf
Vignettes:	Predicting Crop Yields Using STCCGEV Method (source, R code)

Downloads:

Package source:	STCCGEV_1.0.0.tar.gz
Windows binaries:	r-devel: STCCGEV_1.0.0.zip, r-release: STCCGEV_1.0.0.zip, r-oldrel: STCCGEV_1.0.0.zip
macOS binaries:	r-release (arm64): STCCGEV_1.0.0.tgz, r-oldrel (arm64): STCCGEV_1.0.0.tgz, r-release (x86_64): STCCGEV_1.0.0.tgz, r-oldrel (x86_64): STCCGEV_1.0.0.tgz

Linking:

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