This analysis tool will allow researchers to analyze their entire footprinting dataset, without filtering out noisy lanes and residues, or heuristic normalization, by employing a likelihood-based model fitting approach. This methodology allows for the rigorous estimation of parameters and parameter confidence intervals, to fit footprinting data to real physical models.