Sampling wrappers

Sampling wrappers allow ArviZ to call PPLs in order to perform a limited subset of their capabilities and calculate stats and diagnostics that require refitting the model on different data.

Their implementation is still experimental and may vary in the future. In fact, there are currently two possible approaches when creating sampling wrappers. The first one delegates all calculations to the PPL whereas the second one externalizes the computation of the pointwise log likelihood to the user who is expected to write it with xarray/NumPy.

• Refitting CmdStanPy models with ArviZ
• Refitting PyStan (3.0+) models with ArviZ
• Refitting PyMC models with ArviZ
• Refitting NumPyro models with ArviZ
• Refitting NumPyro models with ArviZ (and xarray)