The Math Behind workboots

Generating prediction intervals with workboots hinges on a few core concepts: bootstrap resampling, estimating prediction error for each resample, and aggregating the resampled prediction errors for each observation. The bootstraps() documentation from {rsample} gives a concise definition of bootstrap resampling:

Introducing {workboots}

Sometimes, we want a model that generates a range of possible outcomes around each prediction and may opt for a model that can generate a prediction interval, like a linear model.