Our new paper in Acta Acustica introduces a complete statistical workflow for fitting and testing a Bayesian model of human sound localisation, and releases the model as an open-source Python package (bayesian_listener - https://github.com/robaru/bayesian_listener). The work is a collaboration between Imperial College London, TU Berlin and the University of Padova.