The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| Reference manual: | STCCGEV.pdf |
| Vignettes: |
Predicting Crop Yields Using STCCGEV Method (source, R code) |
| 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-devel (arm64): STCCGEV_1.0.0.tgz, r-release (arm64): STCCGEV_1.0.0.tgz, r-oldrel (arm64): STCCGEV_1.0.0.tgz, r-devel (x86_64): STCCGEV_1.0.0.tgz, r-release (x86_64): STCCGEV_1.0.0.tgz, r-oldrel (x86_64): STCCGEV_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=STCCGEV to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.