Spatio-Temporal Crop Yield Prediction
Compute Joe Copula Parameter from Kendall's Tau
Compute Clayton Copula Parameter from Kendall's Tau
Compute Dynamic Gaussian Copula Correlation Parameter (rho)
Compute Dynamic Clayton Copula Parameter
Compute Dynamic Frank Copula Parameter
Compute Dynamic Gumbel Copula Parameter
Compute Dynamic Joe Copula Parameter
Fit a Bayesian Structural Time Series (BSTS) Model
Compute Frank Copula Parameter from Kendall's Tau
Compute Gumbel Copula Parameter from Kendall's Tau
Log-Likelihood Function for 3D Copula Model
Compare Forecasts from Two Models
Plot Observed Data and BSTS Forecast
Function to optimize the full pseudo-loglikelihood and perform new for...
Provides crop yield and meteorological data for Ontario, Canada. Includes functions for fitting and predicting data using spatio-temporal models, as well as tools for visualizing the results. The package builds upon existing R packages, including 'copula' (Hofert et al., 2025) <doi:10.32614/CRAN.package.copula>, and 'bsts' (Scott, 2024) <doi:10.32614/CRAN.package.bsts>.