BayesianFitForecast: a user-friendly R toolbox for parameter estimation and forecasting with ordinary differential equations
By improving the accessibility of advanced Bayesian methods, BayesianFitForecast broadens the application of Bayesian inference in time-series modeling, healthcare forecasting, and epidemiological applications. In addition to the R scripting interface, a built-in Shiny web application is included, enabling interactive model configuration, visualization, and forecasting. A tutorial video demonstrating the toolbox's functionality is also available ( https://youtu.be/jnxMjz3V3n8 ).
Authors
- Ruiyan Luo (ORCID: https://orcid.org/0000-0003-4365-1148)
- Gerardo Chowell (ORCID: https://orcid.org/0000-0003-2194-2251)
- Amanda Bleichrodt (ORCID: https://orcid.org/0009-0007-2524-369X)
- Hossein Karami (ORCID: https://orcid.org/0000-0003-4898-6879)
Institutions
- Georgia State University (US)
- Kyung Hee University (KR)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-10-15
- DOI
- https://doi.org/10.1186/s12911-025-03208-z
- Citations
- 1
- Primary Topic
- Data Analysis with R
- Type
- article
- Field-Weighted Citation Impact
- 2.48