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Statsmodels is a Python library that helps you analyze data using statistics. It is great for fitting models like linear regression, logistic regression, and time series models. You get detailed results like coefficients, p-values, and diagnostics. This skill is perfect for economists, data analysts, and anyone who needs rigorous statistical inference.

You can use it to test assumptions, detect outliers, or compare models. It also produces publication-ready tables. Whether you are working on econometrics or business analytics, statsmodels gives you the tools you need.

To get started, just install the library and follow the examples. The skill works with Python 3.9 and above. It is designed for clear and reliable statistical work.

Add Statsmodels skill to your workflow

Global

mkdir -p ~/.claude/skills/statsmodels

Project

mkdir -p .claude/skills/statsmodels

Source Repository

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27 days ago
Created
9 months ago