---
name: lingxling-statsmodels
description: "Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide range of statistical methods."
license: "MIT"
metadata:
  decimalai-skill-id: "a6d5dc86-a7ef-4217-8b1d-5423a3ef0b13"
  decimalai-version-id: "a967f81e-c015-45cb-8ee3-45c61adc2868"
  decimalai-version: "2"
  decimalai-body-sha256: "7e4db13dca0371019b070340803a7698efb10f3870c9cd9dbbbf812fbd5672d0"
  decimalai-name: "lingxling/statsmodels"
  decimalai-format: "1"
  decimalai-invocation: "model"
  decimalai-category: "science"
  decimalai-source: "https://app.decimal.ai/s/lingxling-statsmodels@2/SKILL.md"
---
# Statsmodels: Statistical Modeling and Econometrics

## Detailed Guide

Read [the detailed guide](references/detailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

## 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

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.