In this repository you will find the bayesian_stats_practical.Rmd file (R markdown file) containing instructions for the practical session with examples and exercises. All data required for the practical are in this repository.
You can also find the slides from the introduction to the session (01_workflow_presentation.pptx).
In the Desktop or Documents directory of your computer open a git bash and run the command:
git clone https://github.com/kraemer-lab/bayesian_stats_epi_practical.git
Alternatively download the data folder from here: https://www.dropbox.com/scl/fo/13g8cmo208oztjlnbelph/h?rlkey=k6rumw71olun000x73otaxtv7&dl=0; set your working directory to that data folder using setwd('') and use either R Markdown or R code.
Alternatively, you can download the data folder and the bayesian_stats_practical.Rmd file manually into a properly named directory.
Once you have everything downloaded, open the bayesian_stats_practical.Rmd file in R studio and begin your practical session.
The maps used for this session should be credited to: https://github.com/epibayes/john-snow-data (Jon Zelner).
The data used for this session should be credited to: https://geodacenter.github.io/data-and-lab/snow/ (Marcos Falcone, Julia Koschinsky, Peter Vinten-Johansen, Thomas Coleman, Luc Anselin).
The essential R packages for running the statistical models should be credited to: https://github.com/rmcelreath/stat_rethinking_2023 (Richard McElreath) and https://mc-stan.org/ (Stan Development Team).
Copyright (c) 2023 Kraemer Lab, University of Oxford.
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