Can it generate diagnostic plots?

Yes, the skill provides implementation patterns for creating residual plots, influence plots, and diagnostic visualizations using Matplotlib integration.

How does this skill differ from general data analysis?

While general analysis focuses on data processing, this skill provides rigorous statistical inference, including p-values, confidence intervals, and diagnostic tests to validate model assumptions.

Can I use R-style formulas with this skill?

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

Does it support time-series forecasting?

Absolutely. It includes tools for stationarity testing (ADF), ACF/PACF analysis, and models like ARIMA, SARIMAX, and Exponential Smoothing.

Is it suitable for machine learning tasks?

It is ideal for 'white-box' modeling where interpretation and statistical significance are prioritized over pure predictive accuracy, providing more depth than libraries like scikit-learn for inference.

Statsmodels Statistical Analysis

Name: Statsmodels Statistical Analysis
Author: youyinnn

byyouyinnn

0•

データサイエンスとML

Performs rigorous statistical modeling and econometric analysis with detailed diagnostics and inference reporting.

Statsmodels is a comprehensive Python library that enables advanced statistical estimation, hypothesis testing, and data exploration. This skill allows Claude to implement sophisticated models ranging from standard linear regressions and generalized linear models (GLM) to complex time-series forecasting and discrete choice models. It is the ideal choice when your project requires mathematically rigorous inference, p-value calculations, and detailed summary tables that meet academic and professional research standards.

主な機能

01Generalized Linear Models (GLM) for non-normal distributions like Poisson and Gamma

02Rigorous diagnostic testing for heteroskedasticity, autocorrelation, and normality

03Advanced time-series analysis with ARIMA, SARIMAX, and VAR models

04Comprehensive regression suite including OLS, WLS, and Quantile Regression

050 GitHub stars

06Support for R-style formula API for intuitive model specification

ユースケース

01Validating model assumptions through residual analysis and influence diagnostics

02Forecasting financial or operational time-series data with seasonal components

03Conducting econometric research to estimate causal effects and statistical significance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add youyinnn/skills-collection statsmodels

For use in Claude.ai and ChatGPT

主な機能

01Generalized Linear Models (GLM) for non-normal distributions like Poisson and Gamma

02Rigorous diagnostic testing for heteroskedasticity, autocorrelation, and normality

03Advanced time-series analysis with ARIMA, SARIMAX, and VAR models

04Comprehensive regression suite including OLS, WLS, and Quantile Regression

050 GitHub stars

06Support for R-style formula API for intuitive model specification

ユースケース

01Validating model assumptions through residual analysis and influence diagnostics

02Forecasting financial or operational time-series data with seasonal components

03Conducting econometric research to estimate causal effects and statistical significance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add youyinnn/skills-collection statsmodels

For use in Claude.ai and ChatGPT