Overview
casteval facilitates the evaluation of time series forecasts.
✅ Flexibly accepts forecasts as either a set of individual model realizations or as the summary of an ensemble of realizations via quantiles at each time point
✅ Includes multiple scoring methods
✅ Provides a suite of visualization tools to help assess forecast and scoring performance
Installation
The simplest way to install casteval is to use the remotes package:
# install.packages("remotes")
remotes::install_github("phac-nml-phrsd/casteval")If you do not wish to install the remotes package, or have trouble using it, you can simply clone this repository locally and then use:
install.packages("your/path/to/casteval", type="source")Usage
Use the Get started guide to start using this package.
For developers
Please review the developer guide if you plan on contributing to this package.