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BayesianFitForecast: Bayesian Parameter Estimation and Forecasting for Epidemiological Models

Methods for Bayesian parameter estimation and forecasting in epidemiological models. Functions enable model fitting using Bayesian methods and generate forecasts with uncertainty quantification. Implements approaches described in <doi:10.48550/arXiv.2411.05371> and <doi:10.1002/sim.9164>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: bayesplot, readxl, openxlsx, rstan, ggplot2, dplyr
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-12-05
DOI: 10.32614/CRAN.package.BayesianFitForecast
Author: Hamed Karami [aut], Amanda Bleichrodt [aut], Ruiyan Luo [aut], Gerardo Chowell [aut, cre]
Maintainer: Gerardo Chowell <gchowell at gsu.edu>
BugReports: https://github.com/gchowell/BayesianFitForecast/issues
License: CC0
URL: https://github.com/gchowell/BayesianFitForecast
NeedsCompilation: no
CRAN checks: BayesianFitForecast results

Documentation:

Reference manual: BayesianFitForecast.pdf
Vignettes: Getting Started with BayesianFitForecast (source, R code)

Downloads:

Package source: BayesianFitForecast_1.0.0.tar.gz
Windows binaries: r-devel: BayesianFitForecast_1.0.0.zip, r-release: BayesianFitForecast_1.0.0.zip, r-oldrel: BayesianFitForecast_1.0.0.zip
macOS binaries: r-release (arm64): BayesianFitForecast_1.0.0.tgz, r-oldrel (arm64): BayesianFitForecast_1.0.0.tgz, r-release (x86_64): BayesianFitForecast_1.0.0.tgz, r-oldrel (x86_64): BayesianFitForecast_1.0.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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