README.Rmd

---
output: github_document
---

<!-- README.md is generated from README.Rmd. Please edit that file -->

```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

DrJacoby <img src="R_ignore/images/logo3.png" width="120" align="right" />
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*drjacoby* is an R package for performing Bayesian inference via Markov chain monte carlo (MCMC). In addition to being highly flexible it implements some advanced techniques that can improve mixing in tricky situations. Full details can be found on the drjacoby [website](https://mrc-ide.github.io/drjacoby/).

So far, *drjacoby* has been used in the following projects:

* The paper [Estimates of the severity of coronavirus disease 2019: a model-based analysis](https://doi.org/10.1016/S1473-3099(20)30243-7) used *drjacoby* **version 1.0.1**
* The report [COVID-19 Infection Fatality Ratio: Estimates from Seroprevalence](https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis/covid-19/report-34-ifr/) used *drjacoby* **version 1.2.0**