Examples

• Fit a linear model and predict

  Estimate fuel economy from weight and cylinders in mtcars and predict new cars with intervals.

• Fit logistic and Poisson models

  Model labor-force participation in mroz and insurance claim rates with an exposure offset.

• Fit a mixed model

  Give each sleepstudy subject its own intercept and read how much subjects vary.

• Densities, quantiles, and random draws

  Evaluate the normal and Student's t distributions and draw reproducible samples.

• Fit a mixed model to a Polars table and chart it

  Read sleepstudy with Polars, fit subject intercepts, and chart one fitted line per subject.

Interactive

• School effects and shrinkage

  A linear mixed model with random school intercepts, variance components, shrinkage, and what-if predictions.