 The "AD" in AD Model Builder refers to the automatic differentiation capabilities that come from the AUTODIF Library, a C++ language extension also created by David Fournier, which implements reverse mode automatic differentiation.A related software package, ADMB-RE, provides additional support for modeling random effects.Markov chain Monte Carlo methods are integrated into the ADMB software, making it useful for Bayesian modeling.