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Created by Daniel J. McDonald, Rachel Lobay, Dmitry Shemetov, David Weber, Ryan Tibshirani and Logan Brooks
Description:

The epipredict R package provides a modular forecasting "framework" for creating epidemiological forecasts. It includes a set of pre-built models and also supports the development of custom models tailored to specific forecasting needs. Epipredict is designed to integrate seamlessly with epiprocess, which handles data preprocessing. Together, they streamline the pipeline from raw surveillance data to actionable forecasts. Epipredict is developed by the Delphi Group at Carnegie Mellon University.

Preview:
https://cmu-delphi.github.io/epipredict/index.html

This site was available on the date of the last automated link check. (2026/09/27)

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IdentifierURL: https://cmu-delphi.github.io/epipredict/index.html
Type

Software

Topics/About
  • Graphics Visualization
  • Modeling
    • Modeling Method
      • Statistical Model
    • Modeling Output
    • Modeling Purpose
      • Forecasting
LanguageEnglish
LicenseMIT License
Accessible For FreeTRUE
Biological Scalepopulation
Software LanguageR
Versionongoing
HTTP Status Code200
HTTP Checked On2026/09/27