r-bayes

Jupyter environment made for Bayesian graphical modeling and inferencing.

What it Gives You

It is based on Jupyter Notebook R Stack.

Additionally, it provides

• jags
• rjags
• HydeNet
• bnlearn
• tidybayes

Basic Usage

Build the image

docker build -t r-bayes:latest -f Dockerfiles/Dockerfile.rbayes

Spin up the container using the command

docker run -it --rm -p 8008:8888 r-bayes:latest

Point your browser to http://localhost:8008/.

For other startup options check out Jupyter Notebook R Stack.

Use with docker-compose.yml

Docker compose setups an environment with the directory structure from the repository mounted in the container. The docker-compose.yml controls the mount points. Notebooks created in work within the container appear in the directory notebooks on the host system.

Setup: Start in project's root dir and create a .env file with the content shown below.

# .env file

# In the container, this is the directory where the directories from the host are found
# Example:
APP_ROOT=/r-bayes

# the HOST directory containing directories to be mounted into containers
# Example:
VOL_DIR=/home/user/r-bayes

Create docker image

docker-compose build r-bayes

Spin up the container

docker-compose up -d r-bayes

Point your browser to http://localhost:8008/.