des_func_quantile: Desirability function quantile
In CollinErickson/AdaptCompExp: Run adaptive computer experiments

A des func where output is scaled 0 to 1, max higher

des_func_quantile(
  mod,
  XX,
  threshold = 0,
  power = 1,
  return_se = F,
  N_add = 1000,
  threshold_jump = 0
)

`mod`	model
`XX`	design matrix
`threshold`	Scalar in [0,1) thresholding how big the quantile should be.
`power`	The power the quantiles will be raised to after thresholding.
`return_se`	whether the se prediction should be returned along with the des, all will be returned in data.frame, this will save time if calculating the werror function since it is faster
`N_add`	number of points to add
`threshold_jump`	amount the threshold should jump to predict both at once instead of separately