Discovery

⚠️ Changes since last version:

• model_selection_stats attribute for models now has keys in snake case format.
• Functions for test statistics, e.g. heteroskedaticity test, now return dictionary instead of tuple so that the output is more explicit. More info is returned now in the output (e.g. degrees of freedom and distribution). Keys will be consistent across test functions.
• rvp_plot and rvf_plot now function as intended.

🎉 New features:

• Wald test function for joint hypothesis testing with native Python data structures
• Residual vs predictor plot (the rvp_plot) implemented properly
• Support for covariance keyword arguments (e.g. specify group column for cluster standard errors).
• X_list attribute for model objects