The Scola is an algorithm that takes a correlation matrix or a precision matrix as input and outputs a network. In the generated network, edges between nodes indicate correlations that are not accounted for by some expected properties (e.g., noise independent for different variables or a global trend).
Please cite the paper if you use this package:
Sadamori Kojaku and Naoki Masuda. Proceedings of the Royal Society A, 475, 2231 (2019). [Preprint]
Installation Getting_Started Examples scola
GNU GENERAL PUBLIC LICENSE, Version 3, 29 June 2007