New article on CORA and LOGIGRAM software published in the Journal of Open Source Software:

Combinational Regularity Analysis (CORA) is a new member of the family of configurational comparative methods (CCMs). CORA generalizes the capabilities of existing CCMs. By means of Boolean optimization algorithms for multi-output data imported from electrical engineering, CORA can infer INUS structures that include complex conjunctive effects. The CORA package is an open-source Python tool, hosted on GitHub and deployed on the Google Colab platform, with which such structures can be identified. The visualization of INUS structures in CORA is achieved by the LOGIGRAM package, which provides functionality to CORA for producing logic diagrams. The article is available open-access via this link.

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