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DAGitty – draw and analyze causal diagrams
browser-based environment for creating, editing, and analyzing causal diagrams (also known as directed acyclic graphs or causal Bayesian networks). The focus is on the use of causal diagrams for minimizing bias in empirical studies in epidemiology and other disciplines.
Many algorithms implemented in DAGitty were developed in close collaboration with Maciej Liśkiewicz and Benito van der Zander, University of Lübeck, Germany (see literature references below). DAGitty development has been sponsored by the Leeds Institute for Data Analytics and by the Deutsche Forschungsgemeinschaft (DFG), grant 273587939. That version will be embeddable into HTML pages, which will make it easy to include interactive DAG drawings into just about any webpage.
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