• The docker image is hosted here.
• A permanent, citable code archive here:
• The simple example, in the directory /fco/R does linear regression then asks for the most detailed but plausible ordering of parameters (by magnitude).
• Some useful bash scripts for shortcuts of docker commands are in directory /fco/bash.
• The submitted manuscript is here. If you publish with this method, please cite the paper as:

Chumbley JR (2019) A Bayesian credible set for ranking parameters by relative magnitude. Manuscript submitted for publication. https://chumbleycode.github.io/docs/papers_reports/fcr_apa.pdf

• For related work, see my website. For example,

Chumbley, J.R., Potente, C., Xu, W., & Shanahan, M. (2019) A Bayesian approach to life course epidemiology. Manuscript submitted for publication. https://chumbleycode.github.io/docs/papers_reports/range_apa.pdf

Run the following from shell:

docker pull chumbleycode/fco:latest

docker run --rm -p 2222:8787 -e USER=guest -e PASSWORD=secret chumbleycode/fco:latest

Then go to http://localhost:2222 in your favorite browser.

You can change USER and PASSWORD, in the above. USER=guest PASSWORD=secret

docker run --rm -it chumbleycode/fco:latest R

A simple example script is in fco/R/example_analysis.R

If you want to use the functionality on own data, you must additionally bind mount your local folder. First use the shell to navigate to your data folder then - for shell or browser access - run either

docker run --rm -p 2222:8787 -e PASSWORD=secret -v $(pwd):/home/rstudio/fco/host -e ROOT=TRUE chumbleycode/fco:latest

or

docker run -it -v $(pwd):/home/rstudio/fco/host chumbleycode/fco:latest R