How does this help with regression analysis?

The skill ensures Claude correctly handles data preparation (like adding constants), selects appropriate robust standard errors, and performs necessary diagnostic tests for model validation.

What is the Statsmodels Claude Code skill?

It is a specialized extension that provides Claude with expert knowledge, implementation patterns, and best practices for using the Python statsmodels library.

Can this skill handle time series forecasting?

Yes, it includes specialized patterns for univariate and multivariate time series analysis, including stationarity tests, ARIMA/SARIMAX modeling, and forecast visualization.

Does it support R-style formulas?

Yes, it provides guidance on using the statsmodels formula API (statsmodels.formula.api) to specify models using a syntax similar to the R programming language.

Statsmodels Statistical Analysis

Name: Statsmodels Statistical Analysis
Author: BbgnsurfTech

byBbgnsurfTech

•

Ciencia de Datos y ML

Performs rigorous statistical modeling and econometric analysis using Python's statsmodels library for deep data insights.

The Statsmodels skill equips Claude with specialized expertise in Python's premier library for statistical modeling, inference, and diagnostics. It provides structured guidance for fitting linear and generalized linear models, conducting time-series forecasting with ARIMA/SARIMAX, and executing complex hypothesis tests. Whether you are conducting econometric research, validating model assumptions through residual diagnostics, or generating publication-quality summary tables, this skill ensures mathematically sound implementations and accurate interpretation of statistical metrics like AIC, BIC, and p-values.

Características Principales

01Linear and Generalized Linear Models (OLS, GLM, Logistic)

023 GitHub stars

03Time series analysis and forecasting (ARIMA, SARIMAX, VAR)

04Comprehensive statistical diagnostics and hypothesis testing

05R-style formula API support for intuitive model specification

06Discrete choice modeling for categorical and count data

Casos de Uso

01Conducting univariate or multivariate time series forecasting for business metrics

02Validating regression assumptions through heteroskedasticity and normality testing

03Fitting econometric models to analyze causal relationships in financial or social data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add bbgnsurftech/claude-skills-collection statsmodels

For use in Claude.ai and ChatGPT

Download Skill