This is an old version, view current version.
12.6 Model Diagnostics
Model diagnostics are like sampling and optimization in that they depend on a model’s data being read and its parameters being initialized. The user’s guides for the interfaces (RStan, PyStan, CmdStan) provide more details on the diagnostics available; as of Stan 2.0, that’s just gradients on the unconstrained scale and log probabilities.