Warning! This package is a prototype and is under active development. Breaking changes are likely.
Summary
Understanding and accurately estimating epidemiological delay distributions is important for public health policy. These estimates directly influence epidemic situational awareness, control strategies, and resource allocation. In this package, we provide methods to address the key challenges in estimating these distributions, including truncation, interval censoring, and dynamical biases. Despite their importance, these issues are frequently overlooked, often resulting in biased conclusions.
Installation
Installing the package
You can use the remotes package to install the development version from Github (warning! this version may contain breaking changes and/or bugs):
remotes::install_github(
file.path("epinowcast", "epidist"),
dependencies = TRUE
)Installing CmdStan (optional)
By default epidist uses the rstan package for fitting models. If you wish to use the cmdstanr package instead, you will need to install CmdStan, which also entails having a suitable C++ toolchain setup. We recommend using the cmdstanr package to manage CmdStan. The Stan team provides instructions in the Getting started with cmdstanr vignette, with other details and support at the package site, but the brief version is:
# if you have not yet installed `epidist`, or you installed it without
# `Suggests` dependencies
install.packages(
"cmdstanr",
repos = c("https://mc-stan.org/r-packages/", getOption("repos"))
)
# once `cmdstanr` is installed
cmdstanr::install_cmdstan()Note: You can speed up CmdStan installation using the cores argument. If you are installing a particular version of epidist, you may also need to install a past version of CmdStan, which you can do with the version argument.
Resources
Organisation Website
Our organisation website includes links to other resources, guest posts, and seminar schedule for both upcoming and past recordings.
Community Forum
Our community forum has areas for question and answer and considering new methods and tools, among others. If you are generally interested in real-time analysis of infectious disease, you may find this useful even if do not use epidist.
Contributing
We welcome contributions and new contributors! We particularly appreciate help on identifying and identified issues. Please check and add to the issues, and/or add a pull request.
Citation
If you use epidist in your work, please consider citing it using citation("epidist").
Package citation information
citation("epidist")
To cite package 'epidist' in publications use:
Adam Howes, Park S, Sam Abbott (NULL). _epidist: Estimate
Epidemiological Delay Distributions With brms_.
doi:10.5281/zenodo.5637165 <https://doi.org/10.5281/zenodo.5637165>.
A BibTeX entry for LaTeX users is
@Manual{,
title = {epidist: Estimate Epidemiological Delay Distributions With brms},
author = {{Adam Howes} and Sang Woo Park and {Sam Abbott}},
year = {NULL},
doi = {10.5281/zenodo.5637165},
}If using our methodology, or the methodology on which ours is based, please cite the relevant papers. This may include:
Contributors
All contributions to this project are gratefully acknowledged using the allcontributors package following the all-contributors specification. Contributions of any kind are welcome!