casteval

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.