Allow covariates in plot_expected_purchases

[PabloRoque]

Description

Includes covariates when calculation the unconditional frequency expectation. Allows the estimation of future purchases for the "average customer" just after first order for models with covariates.

Additionally:

• Introduces a new dataset apparel_trans.csv and accompanying apparel_static_cov.csv. These datasets are extracted from R's CLVTools package.
• A new notebook bg_nbd_covariates.ipynb shows an example of the new functionality using the new dataset.

Related Issue

• Closes #
• Related to Allow static covariates in BGNBDModel #1390. That PR should be merge before this one.

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

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📚 Documentation preview 📚: https://pymc-marketing--1430.org.readthedocs.build/en/1430/

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Codecov Report

Attention: Patch coverage is 75.00000% with 7 lines in your changes missing coverage. Please review.

Project coverage is 92.65%. Comparing base (26e80c0) to head (964d6e2).

Files with missing lines	Patch %	Lines
pymc_marketing/clv/utils.py	75.00%	7 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1430      +/-   ##
==========================================
- Coverage   92.74%   92.65%   -0.10%     
==========================================
  Files          52       52              
  Lines        6120     6140      +20     
==========================================
+ Hits         5676     5689      +13     
- Misses        444      451       +7     

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[ColtAllen]

I'll review this in detail later, but it looks like there may be merge conflicts with #1390

[PabloRoque]

@ColtAllen Feel free to have a look at this PR whenever you have some spare time. It is ready for review from my side.

[ColtAllen]

Introduces a new dataset apparel_trans.csv and accompanying apparel_static_cov.csv. These datasets are extracted from R's CLVTools package.

Is there documentation available for these datasets? I wasn't able to find anything in the R library.

A new notebook bg_nbd_covariates.ipynb shows an example of the new functionality using the new dataset.

Is it possible to consolidate this into the existing BG/NBD notebook?

[PabloRoque]

Is there documentation available for these datasets? I wasn't able to find anything in the R library.

Link to apparelTrans and apparelStaticCov

Is it possible to consolidate this into the existing BG/NBD notebook?

Do you propose to add this new dataset, or use the synthetic covariates that we are using in the ParetoNBD notebook?