This is a collection of tools for constructing and analysing hypergraphs from data. Hypergraphs are very general and powerful objects for data analysis which connect nodes and edges. As for binary graphs, nodes can conect to any number of edges but in a hypergraph, edges can connect to any number of nodes which leads to some very useful features!
This set of tools is for the analysis of large scale data with hypergraphs, i.e, a specialist toolkit that will focus on a small number of specific features. If you are looking for a general tool kit for hypergraphs including visualisation, check out hypernetx (https://github.com/pnnl/HyperNetX).
A publication describing what this code does can be found here: https://www.sciencedirect.com/science/article/pii/S1532046421002458
Install using pip: pip install multimorbidity-hypergraphs
To import: import multimorbidity_hypergraphs as hgt
Run tests using pytest in the top directory.