# CORA: An Open-Source Software Tool for Combinational Regularity Analysis

## TL;DR

CORA is a new open-source tool for analyzing complex cause-effect relationships using Combinational Regularity Analysis.

## Contribution

The paper introduces CORA, a new Configurational Comparative Method, and provides a tutorial for its open-source software implementation.

## Key findings

- CORA can be used to discover shared causes of complex effects.
- The tool allows for mining configurational data to find minimal solution-generating input tuples.
- CORA supports visualization of solutions through logic diagrams.

## Abstract

Modern Configurational Comparative Methods (CCMs), such as Qualitative Comparative Analysis (QCA) and Coincidence Analysis (CNA), have gained in popularity among social scientists over the last thirty years. A new CCM called Combinational Regularity Analysis (CORA) has recently joined this family of methods. In this article, we provide a software tutorial for the open-source package
CORA
, which implements the eponymous method. In particular, we demonstrate how to use
CORA
to discover shared causes of complex effects and how to interpret corresponding solutions correctly, how to mine configurational data to identify minimum-size tuples of solution-generating inputs, and how to visualize solutions by means of logic diagrams.