Package for creating, manipulating, and analysing Chain Event Graphs. Built on networkx.
Project description
cegpy
Cegpy (/segpaɪ/) is a Python package for working with Chain Event Graphs. It supports learning the graphical structure of a Chain Event Graph from data, encoding of parametric and structural priors, estimating its parameters, and performing inference.
It is built on top of the Python network modelling package NetworkX.
Documentation
Documentation is hosted on read the docs.
Example Binder
Use cases have been demonstrated in a binder.
The following image is an example of a chain event graph that is produced by this pacakge:
Contributors ✨
Thanks goes to these wonderful people (emoji key):
 Aditi Shenvi 💻 ⚠️ 🐛 📆 |
 Gareth Walley 💻 📖 🎨 ⚠️ 🚧 |
 Kasia Kobalczyk 💻 🐛 ⚠️ |
 Peter Strong 💻 🐛 💡 ⚠️ |
This project follows the all-contributors specification. Contributions of any kind welcome!
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