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Bayesian analysis of infectious disease transmission dynamics, with a particular focus on Coronavirus Disease 2019 (COVID-19)

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Bernadette

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Overview

The Bernadette (“Bayesian inference and model selection for stochastic epidemics”) R package provides a framework for Bayesian analysis of infectious disease transmission dynamics via diffusion driven multi-type epidemic models with time-varying coefficients, with a particular focus on Coronavirus Disease 2019 (COVID-19). It allows for evaluation of probabilistic forecasts with proper scoring rules, for the purpose of model comparison.

Website

The website for the BERNADETTE Marie Sklodowska-Curie Action (MSCA) is available at: https://bernadette-eu.github.io/

Installation

You can install the latest development version of Bernadette (requires the devtools package) from GitHub with:

if (!require("devtools")) {
  install.packages("devtools")
}
devtools::install_github("bernadette-eu/Bernadette", dependencies = TRUE, build_vignettes = FALSE)
library("Bernadette")

License

This R package is provided for use under the GPL-3.0 License by the author.

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Bayesian analysis of infectious disease transmission dynamics, with a particular focus on Coronavirus Disease 2019 (COVID-19)

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