Get marginal_effects hdi estimates

[PabloRoque]

Description

counterfac = self.mmm.predict(X_new, extend_idata=False, progressbar=False) internally calls mean("chain", "draws") which inhibits hdi calculations.

We are now calling sample_posterior_predictive, which includes ("chain", "draw") dims

Related Issue

• Closes #
• Related to #

Checklist

• Checked that the pre-commit linting/style checks pass. Feel free to comment pre-commit.ci autofix to auto-fix.
• Included tests that prove the fix is effective or that the new feature works
• Added necessary documentation (docstrings and/or example notebooks) using numpydoc format.
• If you are a pro: each commit corresponds to a relevant logical change

[review-notebook-app]

Check out this pull request on 

See visual diffs & provide feedback on Jupyter Notebooks.

---

Powered by ReviewNB

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 91.88%. Comparing base (be685bd) to head (483af3e).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1885      +/-   ##
==========================================
- Coverage   91.88%   91.88%   -0.01%     
==========================================
  Files          64       64              
  Lines        7563     7562       -1     
==========================================
- Hits         6949     6948       -1     
  Misses        614      614              

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[juanitorduz]

thank you @PabloRoque !