[{"data":1,"prerenderedAt":12},["ShallowReactive",2],{"stack-tr-en-statsmodels":3},{"tagline":4,"description":5,"strengths":6,"useCase":11},"The Python library for econometrics and inferential statistics, tests and intervals included.","statsmodels covers linear and generalized linear models (OLS, GLM, logit, Poisson), time series (ARIMA, SARIMAX, VAR, state-space models, STL decomposition), hypothesis testing and survival analysis, with an R-style formula syntax. Every fit returns a full summary: coefficients, standard errors, p-values, confidence intervals and diagnostics. It's our choice when an effect has to be explained and defended, not just predicted: impact studies, elasticities, seasonality, reports written for decision-makers.",[7,8,9,10],"OLS, GLM, logit, mixed and robust regressions with R-style formulas.","Time series: ARIMA, SARIMAX, VAR, state-space models, STL decomposition.","Full inference: p-values, confidence intervals, hypothesis tests and residual diagnostics.","Report-ready summaries, tight integration with pandas, NumPy and SciPy.","Impact studies, price elasticities, seasonal forecasting, survival and churn analysis.",1792675979641]