Function calculates smoothing spline quantiles or linear quantiles as a fall back. Not intended for general use. Expected predicted and residual data. Exported to support related packages.

## Arguments

- data
A dataset of predicted and residual values. Assumed from some sort of (probably parametric) model.

- LL
The lower limit for prediction. Defaults to

`.1`

to give the 10th percentile.- UL
The upper limit for prediction. Defaults to

`.9`

to give the 90th percentile.- na.rm
A logical whether to remove missing values. Defaults to

`TRUE`

- cut
An integer, how many unique predicted values there have to be at least for it to use quantile regression or treat the predicted values as discrete. Defaults to 4.