Agent skill · research science · aiskillstore
statsmodels
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.
Why this skill is useful
Provides specific statistical modeling techniques and diagnostics that the AI wouldn't reliably generate on its own.
What it needs
Requires matplotlib, numpy, pandas, scikit-learn, statsmodels installed locally. About 10k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Statsmodels: Statistical Modeling and Econometrics Overview Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide range of statistical methods. Apply this skill for rigorous statistical analysis, from simple linear regression to complex time series models and econometric analyses. When to Use This Skill This skill should be used when: Fitting regression models (OLS, WLS, GLS, quantile regression) Performing generalized linear modeling (logistic, Poisson, Gamma, etc.) Analyzing discrete outcomes (binary, multinomial, count, ordinal) Conducting time series analysis (ARIMA, SARIMAX, VAR, forecasting) Running statistical tests and diagnostics Testing model assumptions (heteroskedasticity, autocorrelation, normality) Detecting outliers and influential observations Comparing models (AIC/BIC, likelihood ratio tests) Estimating causal effects Producing publication-ready statistical tables and inference Quick Start Guide Linear Regression (OLS) Logistic Regression (Binary Outcomes) Time Series (ARIMA) Generalized Linear Models (GLM) Core Statistical Modeling Capabilities 1. Linear Regression Models Comprehensive suite of linear models for continuous outcomes with various error structures. Available models: OLS: Standard linear regression with i.i.d. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/statsmodels--88b4e6