MoDiscMoDisc is a model discrimination software package. It can be used to determine the most probable model out of a pool of postulated models given a set of experimental data. This particular Bayesian-based technique was developed by Stewart and colleagues [1,2].
The MoDisc software is being released under a BSD license and is freely available for download. Details on how to use the software to analyze your models are provided in the MoDisc Manual. An example of model discrimination in action may be found in the analysis of models of HIV-1 viral dynamics.
Feedback is welcomed.
 W.E. Stewart, T.L. Henson, and G.E.P. Box. Model discrimination and criticism with single-response data. AIChE Journal, 42(11):3055-3062, 1996.
 W.E. Stewart, Y. Shon, and G.E.P. Box. Discrimination and goodness of fit of multiresponse mechanistic models. AIChE Journal, 44(6):1404-1412, 1998.