Leveraging combinatorial building for ensemble forecasting in disease modelling.
diseasy is framework for disease modelling that is built around the
philosophy of combinatorial building. Even from a small number of
modules, an ensemble consisting of a vast array of disease models can be
constructed by combining individual modules.
Ensemble models of disease spread typically outperforms individual
models in terms of robust and accurate forecasts. With diseasy,
ensemble models are leveraged to support evidence-based decision-making
and pandemic preparedness.
# Install diseasy from CRAN:
install.packages("diseasy")
# Alternatively, install the development version from github:
# install.packages("devtools")
devtools::install_github("ssi-dk/diseasy")For basic usage examples, see vignette("diseasy").