AD Model Builder (ADMB) is an open-source statistical software for nonlinear optimization used for fitting statistical models to data. It uses automatic differentiation to calculate gradients efficiently and allows building complex statistical models.
AD Model Builder (ADMB) is an open-source statistical software designed for nonlinear optimization and fitting statistical models to data. It utilizes automatic differentiation techniques to efficiently calculate parameter gradients, which allows fitting complex models with many parameters.
Some key features of ADMB include:
ADMB makes it easier to implement complex statistical models with many parameters. The automatic differentiation and templating system speed up model testing and fitting considerably. It strikes a balance between the flexibility of general statistical programming languages and the convenience of dedicated model fitting tools.