Add support for engine="auto" and bambi models in predictive explorer

[rohanbabbar04]

Closes #453
Closes #451

Description

• Add support when engine="auto"
• Add support for Bambi Models.(Still need to write a case when the Priors are not provided by the user)
• Add docs and test.
• I changed extract(idata, group="prior_predictive")[model.response_name].values to extract(idata, group="prior_predictive")[model.response_name].values.T. This I think I missed in pymc but I have corrected it in this PR.

Checklist

• Code style is correct (follows pylint and black guidelines)
• Includes new or updated tests to cover the new feature
• New features are properly documented (with an example if appropriate)
• Includes a sample plot to visually illustrate the changes (only for plot-related functions)
• Widget states have been properly saved (only for notebooks with widgets) see for details.

[aloctavodia]

Suggested change

	A function with PreliZ distributions, PyMC distributions, or Bambi distributions.
	The PreliZ distributions should call their rvs method.
	A function with a PreliZ model, a PyMC model, or a Bambi model. See examples section below for details

[aloctavodia]

This could be done in a separated PR. We should add an example section to the docstring. The section should describe a minimal example using preliz, another using pymc and another bambi.

[rohanbabbar04]

Will create a PR for this...