What is the Statsmodels Claude Code skill?

It is a specialized capability that allows Claude to perform advanced statistical modeling, econometric analysis, and time series forecasting using the Python Statsmodels library.

Can I use R-style formulas with this skill?

Yes, the skill supports the Statsmodels formula API, allowing you to specify models using the intuitive 'y ~ x1 + x2' syntax familiar to R users.

Is it suitable for econometric research?

Yes, it is specifically designed for rigorous econometric analysis, including causal effects estimation and publication-ready statistical tables.

How does this differ from standard scikit-learn models?

While scikit-learn focuses on predictive accuracy, Statsmodels focuses on statistical inference, providing detailed summaries, p-values, and diagnostic tests for model validation.

Does it support time series forecasting?

Absolutely. It includes support for ARIMA, SARIMAX, VAR, and other time series models, complete with stationarity tests and residual diagnostics.

Statsmodels Statistical Modeling

Name: Statsmodels Statistical Modeling
Author: K-Dense-AI

byK-Dense-AI

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3,719

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Data Science & ML

Performs rigorous statistical modeling, econometric analysis, and time series forecasting using the Statsmodels library.

The Statsmodels skill equips Claude with specialized capabilities for advanced statistical analysis and econometric modeling. It enables precise estimation, inference, and diagnostics across a wide range of methods including OLS, GLM, discrete choice models, and complex time series analysis. This skill is particularly useful for data scientists and researchers who require more than just predictive modeling, offering detailed statistical summaries, hypothesis testing, and rigorous validation of model assumptions to ensure scientific accuracy.

Key Features

013,719 GitHub stars

02Detailed diagnostic testing for heteroskedasticity, autocorrelation, and normality

03Support for R-style formula API for intuitive model specification

04Comprehensive Linear and Generalized Linear Models (OLS, GLM, Logistic, Poisson)

05Production of publication-ready statistical tables and inference results

06Advanced Time Series Analysis including ARIMA, SARIMAX, and VAR forecasting

Use Cases

01Developing seasonal time series forecasts for business and financial planning

02Validating scientific hypotheses through rigorous statistical testing and diagnostics

03Conducting econometric research to estimate causal effects and variable significance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add k-dense-ai/claude-scientific-skills statsmodels

For use in Claude.ai and ChatGPT

Download Skill