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 ).

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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
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article

BayesianFitForecast: a user-friendly R toolbox for parameter estimation and forecasting with ordinary differential equations

Ruiyan Luo, Gerardo Chowell, Amanda Bleichrodt, Hossein Karami
1 citations
BMC Medical Informatics and Decision Making
Data Analysis with R
2.48
article

BayesianFitForecast: a user-friendly R toolbox for parameter estimation and forecasting with ordinary differential equations

Ruiyan Luo, Gerardo Chowell, Amanda Bleichrodt, Hossein Karami
article en
1 citations

Abstract

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 ).

BMC Medical Informatics and Decision MakingVol. 25(1)
Georgia State University (US), Kyung Hee University (KR)
Openalex Percentile: Top 8%
Data Analysis with R
2.48
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