Fit OLS, GLM, discrete-choice, and time-series models with diagnostics and forecasts.
npx skills add https://github.com/shushuzn/Rairos --skill statsmodels-shushuzn
Please help me install this Agent Skill. Skill: statsmodels Source: https://github.com/shushuzn/Rairos/tree/main/skills/statsmodels Command: npx skills add https://github.com/shushuzn/Rairos --skill statsmodels-shushuzn
It helps you choose the right statistical model and produce publication-ready inference, diagnostics, and forecasts without manually stitching together many ad-hoc steps.
Use the statsmodels skill to fit an OLS model and return a summary with coefficients, p-values, R-squared, and residual diagnostics for your dataset.
High-intent search queries and answers about installing and using this skill.
Fit an OLS regression with robust standard errors and assumption checks by using built-in statistical APIs to estimate coefficients, calculate p-values, and run heteroskedasticity or normality diagnostics on your structured dataset.
Generate time series forecasts with prediction intervals by fitting time-ordered models that provide robust estimation, standardized diagnostic testing, and future prediction uncertainty using established econometric APIs.
Binary, count, and ordinal outcome modeling is fully supported for causal-style inference workflows, providing coefficient interpretation alongside confidence intervals and hypothesis testing for rigorous econometric analysis.
Compare multiple statistical models using AIC, BIC, or likelihood-ratio logic to evaluate relative fit, guiding model selection by balancing statistical complexity against explanatory power for your structured data.
Check for autocorrelation and influence outliers during model diagnostics to validate underlying assumptions, ensuring your inference results are trustworthy before relying on the coefficients for publication-ready reporting.
This approach works for econometrics workflows requiring publication-ready inference by providing model selection guidance, robust estimation options, and standardized diagnostic testing without manually stitching together ad-hoc analytical steps.
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