Conditional Copula Model for Crop Yield Forecasting
Overview
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.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 39
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 17%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.0.0Latest2025-03-27 · current release
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2025-03-27
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 30 KB / 21 files
- Download size
- 113 KB
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