statsmodels

Perform regression analysis and calculate robust standard errors by fitting OLS or GLM models. This statistical modeling approach provides reliable inference and detailed diagnostics for hypothesis testing.

R-style formulas specify regression models for econometric analysis by defining dependent and independent variables directly. This syntax fitting method streamlines statistical modeling workflows and outputs detailed estimation results.

Build time series forecasting models for financial data by applying advanced statistical estimation techniques. This inference process analyzes temporal patterns and outputs predictive models with detailed goodness-of-fit diagnostics.

This statistical modeling approach supports discrete choice and mixed-effects models. It fits complex datasets to estimate parameters and outputs detailed statistical tests for rigorous hypothesis inference.

Check model assumptions and assess goodness-of-fit after fitting a GLM model by running built-in diagnostics. This inference step validates statistical reliability and outputs detailed tests to verify the modeling results.