R: Returns a Tidy Eval formula to calculate prediction interval

tidypredict_interval {tidypredict} | R Documentation

## Returns a Tidy Eval formula to calculate prediction interval

### Description

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.

### Usage

    tidypredict_interval(model, interval = 0.95)

### Arguments

`model` | An R model or a tibble with a parsed model. It currently supports lm() models only.
`interval` | The prediction interval, defaults to 0.95

### Details

The result still has to be added to the fit to obtain the upper bound, and subtracted from fit to obtain the lower bound.

### Examples

    library(dplyr)
    df <- mutate(mtcars, cyl = paste0("cyl", cyl))
    model <- lm(mpg ~ wt + cyl * disp, offset = am, data = df)
    tidypredict_interval(model)

[Package tidypredict version 0.1.0 Index]