This extension implements the HypGraphs modeling and analysis approach proposed by Atzmueller et al. (2016). It calculates the evidence score that a hypothesis transition matrix is similar to a given data matrix. For interference calculation the HypTrails algorithm (Singer et al. 2015) is used, by the implementation of Florian Lemmerich (https://bitbucket.org/florian_lemmerich/hyptrails4j).
Atzmueller et al. (2016): Atzmueller, Martin; Schmidt, Andreas; Kloepper, Benjamin and Arnu, David (2016) HypGraphs: An Approach for Modeling and Comparing Graph-Based and Sequential Hypotheses. Proc. ECML-PKDD Workshop on New Frontiers in Mining Complex Patterns (NFMCP), Riva del Garda, Italy, 2016
Singer et al. (2015): Singer, Phillip; Helic, Denis; Hotho Andreas and Strohmaier Markus (2015) HypTrails: A Bayesian Approach for Comparing Hypotheses About Human Trails on the Web, Proc. International World Wide Web Conference, Florence, Italy, 2015