#1057 - Expanded plotting options of plot_posterior_predictive

[jsnyde0]

Description

The `plot_posterior_predictive' function has gotten new plotting options. Depending on the parameters, it can also show:

• HDI (Highest Density Intervals) at 94% and 50% levels (as before)
• Mean prediction line (new)
• Gradient representation of the full posterior distribution (new)

The new function argument related to this are:

• add_hdi : bool, optional - If True, add highest density intervals to the plot. Default is True.
• add_mean : bool, optional - If True, add the mean prediction to the plot. Default is True.
• add_gradient : bool, optional - If True, add a gradient representation of the full posterior distribution. Default is False.

A new example notebook is added to demonstrate: mmm_plotting_options.ipynb

Related Issue

• Closes Expanding plotting options of plot_posterior_predictive #1057
• Related to #

Checklist

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

Modules affected

• MMM
• CLV

Type of change

• New feature / enhancement
• Bug fix
• Documentation
• Maintenance
• Other (please specify):

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📚 Documentation preview 📚: https://pymc-marketing--1058.org.readthedocs.build/en/1058/

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