Bayesian Reconstruction of Disease Outbreaks by Combining Epidemiologic and Genomic Data

Bayesian reconstruction of disease outbreaks using epidemiological and genetic information. Jombart T, Cori A, Didelot X, Cauchemez S, Fraser C and Ferguson N. 2014. . Campbell, F, Cori A, Ferguson N, Jombart T. 2019. .

outbreaker2: a framework for reconstructing disease outbreaks

Welcome to the project page of outbreaker2, a Bayesian framework for integrating epidemiological and genetic data to reconstruct transmission trees of densely sampled outbreaks. It re-implements, generalises and replaces the model of outbreaker, and uses a modular approach which enables fine customisation of priors, likelihoods and parameter movements (see customisation vignette).

Installation

To install the stable version from CRAN:

install.packages("outbreaker2")

To install the development version from github (requires Rtools on windows and GSL headers on all platforms):

devtools::install_github("reconhub/outbreaker2")

To add local copies of the vignettes, you will need to specify:

devtools::install_github("reconhub/outbreaker2", build_vignettes = TRUE)

Then, to load the package, use:

library("outbreaker2")

Documentation

outbreaker2 is fully documented on a dedicated website.

It also comes with the following vignettes:

• introduction: general introduction using a worked example.
• overview: brief overview of the package's content.
• customisation: customisation of priors, likelihoods, and movement functions.
• Rcpp_API: documentation for the Rcpp API.

Contributors

• Thibaut Jombart
• Finlay Campbell
• Rich Fitzjohn

See details of contributions here.

Contributions are welcome via pull requests.

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

Maintainer: Finlay Campbell ([email protected])