Package: STCCGEV
Title: Conditional Copula Model for Crop Yield Forecasting
Version: 1.0.0
Authors@R: 
    c(
    person("Marie", "Michaelides", email= "marie.michaelides@concordia.ca", role = c("aut")),
    person("Mélina", "Mailhot", email= "melina.mailhot@concordia.ca", role = c("aut")),
    person("Yongkun", "Li", email= "yongkun.li@concordia.ca", role = c("aut", "cre"))
    )
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>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: bsts, copula, evd, ggplot2, grDevices, rootSolve, stats, utils
Depends: R (>= 4.0.0)
LazyData: true
LazyDataCompression: xz
Suggests: knitr, rmarkdown, testthat (>= 3.0.0),
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-06-19 10:18:29 UTC; root
Author: Marie Michaelides [aut], Mélina Mailhot [aut], Yongkun Li [aut,
        cre]
Maintainer: Yongkun Li <yongkun.li@concordia.ca>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-03-27 17:30:04 UTC
RemoteUrl: https://github.com/cran/STCCGEV
RemoteRef: HEAD
RemoteSha: 67bf87bc84729cec9b64d719a74050b7858fdbb0