Examples

Fit monthly rent on floor area and bedrooms for 400 simulated flats, then predict with 95% prediction intervals.

Estimate school random intercepts with fit_lmer and show them with their conditional uncertainty.

Compare Student's t densities and tail probabilities with the normal as the degrees of freedom change.

Linear regression with a factor, compared with the coefficients that generated the data.

Linear regression with a choice of predictors and an observed-against-fitted chart.

Logistic, probit, and Poisson regression from R formulas, with predictions and confidence bands.

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

A caterpillar plot of school effects with intervals from their conditional variances.

The native CSV reader on editable text: guessed types, parse failures, problems, and agreement with phibble.

A reactive Livewire dashboard: filters, a phplyr summary, two phiz charts, a logistic model, and what-if predictions.

The school effects model in Stan through CmdStanPHP, with posterior intervals next to Phit\fit_lmer().