Statsmodels
技能 已验证 活跃Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.
To empower AI agents with advanced statistical modeling capabilities, enabling rigorous inference, time series analysis, and diagnostic testing using the comprehensive statsmodels library.
功能
- Fit OLS, WLS, GLS, GLSAR, Quantile Regression models
- Perform Generalized Linear Modeling (Binomial, Poisson, Gamma, etc.)
- Conduct Time Series Analysis (ARIMA, SARIMAX, VAR, Exponential Smoothing)
- Access comprehensive statistical tests and diagnostics
- Utilize R-style formula API for model specification
使用场景
- When performing econometrics and needing detailed inference with coefficient tables
- When analyzing time series data for forecasting and understanding temporal dynamics
- When needing specific model classes like OLS, GLM, mixed models, or ARIMA
- When rigorous statistical inference and detailed diagnostic checks are required
非目标
- Guided statistical test selection with APA reporting (use 'statistical-analysis' skill)
- Simple data visualization (though plots are used for diagnostics)
- Basic descriptive statistics without inferential modeling
工作流
- Explore data and check assumptions (stationarity, homoscedasticity)
- Select and fit appropriate statistical model (e.g., OLS, ARIMA, GLM)
- Perform diagnostic tests on residuals and model fit
- Interpret model coefficients, inference, and forecasts
- Validate model performance using cross-validation or holdout data
实践
- Statistical modeling
- Time series analysis
- Regression analysis
- Model diagnostics
先决条件
- Python 3.11+
- uv package manager
- Agent Skills compatible client
安装
npx skills add K-Dense-AI/claude-scientific-skills通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
已验证类似扩展
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