It parses a model or uses an already parsed model to return a Tidy Eval formula that can then be used inside a dplyr command.
tidypredict_interval(model, interval = 0.95)
An R model or a list with a parsed model
The prediction interval, defaults to 0.95
The result still has to be added to the fit to obtain the upper bound, and subtracted from fit to obtain the lower bound.
# NOT RUN { model <- lm(mpg ~ wt + cyl * disp, offset = am, data = mtcars) tidypredict_interval(model) # }
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