yy_all

datasets

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>.

Yongkun Li

STCCGEV

Conditional Copula Model for Crop Yield Forecasting

Marie Michaelides

Mélina Mailhot

yy_all function

A matrix with dimensions \((n_train+n_test, D)\):<dl>
<dt>n_train+n_test</dt>
<dd>Number of time points used in the test set.</dd><dt>D</dt>
<dd>Number of regions analyzed (<code>Dufferin</code>, <code>Wellington</code>).</dd>
</dl>

Format

Crop Yield Data — yy_all

A matrix with dimensions \((n_train+n_test, D)\):<dl>
<dt>n_train+n_test</dt>
<dd>Number of time points used in the test set.</dd>

<dt>D</dt>
<dd>Number of regions analyzed (<code>Dufferin</code>, <code>Wellington</code>).</dd>


</dl>

yy_all: Crop Yield Data

Description

Usage

Arguments

Format