# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "STCCGEV" in publications use:' type: software license: MIT title: 'STCCGEV: Conditional Copula Model for Crop Yield Forecasting' version: 1.0.0 doi: 10.32614/CRAN.package.STCCGEV abstract: 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) . authors: - family-names: Michaelides given-names: Marie email: marie.michaelides@concordia.ca - family-names: Mailhot given-names: Mélina email: melina.mailhot@concordia.ca - family-names: Li given-names: Yongkun email: yongkun.li@concordia.ca repository: https://cran.r-universe.dev commit: 67bf87bc84729cec9b64d719a74050b7858fdbb0 date-released: '2025-03-27' contact: - family-names: Li given-names: Yongkun email: yongkun.li@concordia.ca