Fit models with diagnostics and uncertainty in view.
Fit statistical models in Python and provide coefficient inference, diagnostics, model comparisons, and forecasts with uncertainty checks.
When to use it
Use for regression, generalized linear models, discrete outcomes, time series, statistical diagnostics, and model comparison.
Give it data and a modeling request; it returns fitted-model summaries, interpreted estimates, and diagnostic or validation results.
What you provide
Requires Python 3.10+; the documented NumPy 2.5.3 and SciPy 1.18.1 stack requires Python 3.12+.
Requires statsmodels 0.15.0.
This skill
https://arxiv.org/abs/2609.00065
Checks the skill's citation record
statsmodels
Installs the pinned modeling stack